Explore the potential of Web3 domains in the decentralized internet revolution. Learn about their benefits, risks, and whether they’re worth your investment.

Rise of Web3 Domains: Are They Worth the Investment?

Global leaders, policymakers and industry experts gathered in February at the Munich Cybersecurity Conference, this year themed 'Uncertainty on the Rise', to discuss emerging cyber threats, evolving intelligence practices and the challenges of international cooperation in strengthening digital ...

Munich Cyber Security Conference 2025 | Brunswick Group

Sivakumar Nagarajan highlights how integrating deep learning and hybrid classifiers in intrusion detection is transforming cybersecurity.

Innovating Cybersecurity: The Rise of Deep Learning in Intrusion Detection - IBTimes India

The company’s cloud computing business showed strong growth, while a forecast for the current quarter disappointed investors.

Amazon Reports 88% Rise in Profits but Says Growth Could Slow - The New York Times

The market is estimated to grow at a CAGR of 15.6% during the forecast period. Rise in adoption of multi-cloud and network upgrades is driving market growth, with a trend towards implementation of ai in data centers However, cybersecurity issues poses a challenge.

Data Center Market to Grow by USD 535.6 Billion by 2029, Boosted by Multi-Cloud Adoption and Network Upgrades, Report on How AI is Driving Market Transformation - Technavio

Driven by a desire for independence and meaningful work, young entrepreneurs are reshaping the business landscape with their tech-savvy approach, social consciousnesses and innovative spirit.

Rise in teen entrepreneurs reshaping the future of work - ABC News

CEO Bob Iger also took a shot at Netflix, noting that ESPN is not about "one day of football" The post Disney Backed Out of ‘Redundant’ Venu Because of the Rise of Sports Skinny Bundles appeared first on TheWrap.

Disney Backed Out of ‘Redundant’ Venu Because of the Rise of Sports Skinny Bundles

Even those with a passing interest in blockchain will be aware of the buzz around AI-powered autonomous agents, which have swept through the cryptosphere like

AI Agent Frameworks: Charting the Rise of Web3’s Hottest New Narrative | Cryptopolitan

Bajaj Finance Ltd.'s consolidated net profit rose 17% in the quarter ended December, meeting analysts' estimates. The company posted a bottom line of Rs 4,246 crore in the third quarter, according to an exchange filing on Wednesday. Analysts tracked by Bloomberg had pegged the profit at Rs ...

Bajaj Finance Q3 Results: Rise In Provisions Caps Net-Profit Growth At 17%

Rise

rise

Authors:
(1) Anh V. Vu, University of Cambridge, Cambridge Cybercrime Centre (anh.vu@cl.cam.ac.uk);
(2) Alice Hutchings, University of Cambridge, Cambridge Cybercrime Centre (alice.hutchings@cl.cam.ac.uk);
(3) Ross Anderson, University of Cambridge, and University of Edinburgh (ross.anderson@cl.cam.ac.uk). Authors: Authors: (1) Anh V. Vu, University of Cambridge, Cambridge Cybercrime Centre (anh.vu@cl.cam.ac.uk); (2) Alice Hutchings, University of Cambridge, Cambridge Cybercrime Centre (alice.hutchings@cl.cam.ac.uk); (3) Ross Anderson, University of Cambridge, and University of Edinburgh (ross.anderson@cl.cam.ac.uk). Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Deplatforming and the Impacts 2. Deplatforming and the Impacts 2.1. Related Work 2.1. Related Work 2.2. The Kiwi Farms Disruption 2.2. The Kiwi Farms Disruption 3. Methods, Datasets, and Ethics, and 3.1. Forum and Imageboard Discussions 3. Methods, Datasets, and Ethics, and 3.1. Forum and Imageboard Discussions 3.2. Telegram Chats and 3.3. Web Traffic and Search Trends Analytics 3.2. Telegram Chats and 3.3. Web Traffic and Search Trends Analytics 3.4. Tweets Made by the Online Community and 3.5. Data Licensing 3.4. Tweets Made by the Online Community and 3.5. Data Licensing 3.6. Ethical Considerations 3.6. Ethical Considerations 4. The Impact on Forum Activity and Traffic, and 4.1. The Impact of Major Disruptions 4. The Impact on Forum Activity and Traffic, and 4.1. The Impact of Major Disruptions 4.2. Platform Displacement 4.2. Platform Displacement 4.3. Traffic Fragmentation 4.3. Traffic Fragmentation 5. The Impacts on Relevant Stakeholders and 5.1. The Community that Started the Campaign 5. The Impacts on Relevant Stakeholders and 5.1. The Community that Started the Campaign 5.2. The Industry Responses 5.2. The Industry Responses 5.3. The Forum Operators 5.3. The Forum Operators 5.4. The Forum Members 5.4. The Forum Members 6. Tensions, Challenges, and Implications and 6.1. The Efficacy of the Disruption 6. Tensions, Challenges, and Implications and 6.1. The Efficacy of the Disruption 6.2. Censorship versus Free Speech 6.2. Censorship versus Free Speech 6.3. The Role of Industry in Content Moderation 6.3. The Role of Industry in Content Moderation 6.4. Policy Implications 6.4. Policy Implications 6.5. Limitations and Future Work 6.5. Limitations and Future Work 7. Conclusion, Acknowledgments, and References 7. Conclusion, Acknowledgments, and References Appendix A. Appendix A. 2.1. Related Work Most studies assessing the impact of deplatforming have worked with data on social networks. Deplatforming users may reduce activity and toxicity levels of relevant actors on Twitter [28] and Reddit [29], [30], limit the spread of conspiratorial disinformation on Facebook [31], reduce the engagement of peripheral members with hateful content [44], and minimise disinformation and extreme speech on YouTube [32]. But deplatforming has often made hate groups and individuals even more extreme, toxic and radicalised. They may view the disruption of their platform as an attack on their shared beliefs and values, and move to even more toxic places to continue spreading their message. There are many examples: the Reddit ban of r/incels in November 2017 led to the emergence of two standalone forums, incels.is and incels.net, which then grew rapidly; users banned from Twitter and Reddit exhibit higher levels of toxicity when migrating to Gab [33]; users migrated to their own standalone websites after getting banned from r/The Donald expressed higher levels of toxicity and radicalisation, even though their posting activity on the new platform decreased [45], [46]; the ‘Great Deplatforming’ directed users to other less regulated, more extreme platforms [47]; the activity of many right-wing users moved to Telegram increased multi-fold after being banned on major social media [34]; users banned from Twitter are more active on Gettr [48]; communities migrated to Voat from Reddit can be more resilient [49]; and roughly half of QAnon users moved to Poal after the Voat shutdown [50]. Blocking can also be ineffective for technical and implementation reasons: removing Facebook content after a delay appears to have been ineffective and had limited impact due to the short cycle of users’ engagement [51]. The major limitation of focusing on social networks is that these platforms are often under the control of a single tech company and thus content can be permanently removed without effective backup and recovery. We instead examine deplatforming a standalone website involving a concerted effort on a much wider scale by a series of tech companies, including some big entities that handle a large amount of Internet traffic. Such standalone communities, for instance, websites and forums, may be more resilient as the admin has control of all the content, facilitating easy backups and restores. While existing studies measure changes in posting activity and the behaviours of actors when their place is disrupted, we also provide insights about other stakeholders such as the forum operators, the community leading the campaign, and the tech firms that attempted the takedown. Previous work has documented the impacts of law enforcement and industry interventions on online cybercrime marketplaces [20], cryptocurrency market price [52], DDoSfor-hire services [14], [15], the Kelihos, Zeus, and Nitol botnets [53], and the well-known click fraud network ZeroAccess [54]; yet how effective a concerted effort of several tech firms can be in deplatforming an extreme and radicalised community remains unstudied. 2.2. The Kiwi Farms Disruption KIWI FARMS had been growing steadily over a decade (see Figure 1) and had been under Cloudflare’s DDoS protection for some years.[2] An increase of roughly 50% in forum activity happened during the COVID-19 lockdown starting in March 2020, presumably as people were spending more time online. Prior interventions have resulted in the forum getting banned from Google Adsense, and from Mastercard, Visa and PayPal in 2016; from hundreds of VPS providers between 2014–2019 [55]; and from selling merchandise on the print-on-demand marketplace Redbubble in 2016. XenForo, a close-source forum platform, revoked its license in late 2021 [56]. DreamHost stopped its domain registration in July 2021 after a software developer killed himself after being harassed by the site’s users. This did not disrupt the forum as it was given 14 days to seek another registrar [57]. While these interventions may have had negative effects on its profit and loss account, they did not impact its activity overall. The only significant disruption in the forum’s history was between 22 January and 9 February 2017 (19 days), when the forum’s owner suspended it himself due to his family being harassed [58].[3] The disruption studied in this work was started by the online community in 2022. A malicious alarm was sent to the police in London, Ontario by a forum member on 5 August 2022, claiming that a Canadian trans activist had committed murders and was planning more, leading to her being swatted [23]. She and her family were then repeatedly tracked, doxxed, threatened, and generally harassed. In return, she launched a campaign on Twitter on 22 August 2022 under the hashtag #dropkiwifarms and planned a protest outside Cloudflare’s headquarters to pressure the company to deplatform the site [59]. This campaign generated lots of attention and mainstream headlines, which ultimately resulted in several tech firms trying to shut down the forum. This is the first time that the forum was completely inaccessible for an extended period due to an external action, with no activity on any online places including the dark web. It attempted to recover twice, but even when it eventually returned online, the overall activity was roughly halved. The majority of actions taken to disrupt the forum occurred within the first two months of the campaign. Most of them were widely covered in the media and can be checked against public statements made by the industry and the forum admins’ announcements (see Figure 2). The forum came under a large DDoS attack on 23 August 2022, one day after the campaign started. It was then unavailable from 27 to 28 August 2022 due to ISP blackholing. Cloudflare terminated their DDoS prevention service on 3 September 2022 – just 12 days after the Twitter campaign started – due to an “unprecedented emergency and immediate threat to human life” [24]. The forum was still supported by DDoSGuard (a Russian competitor to Cloudflare), but that firm also suspended service on 5 September 2022 [25]. The forum was still active on the dark web but this .onion site soon became inaccessible too. On 6 September 2022, hCaptcha dropped support; the forum was removed from the Internet Archive on the same day [60]. This left it under DiamWall’s DDoS protection and hosted on VanwaTech – a hosting provider describing themselves as neutral and noncensored [61]. On 15 September 2022, DiamWall terminated their protection [26] and the ‘.top’ domain provider also stopped support [27]. The forum was completely down from 19 to 26 September 2022 and from 23 to 29 October 2022. From 23 October 2022 onwards, several ISPs intermittently rejected announcements or blackholed routes to the forum due to violations of their acceptable use policy, including Voxility and Tier-1 providers such as Lumen, Arelion, GTT and Zayo. This is remarkable as there are only about 15 Tier-1 ISPs in the world. The forum admin devoted extensive effort to maintaining the infrastructure, fixing bugs, and providing guidance to users in response to password breaches. Eventually, by routing through other ISPs, KIWI FARMS was able to get back online on the clearnet and remain stable, particularly following its second recovery in October 2022. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv [2] Cloudflare’s service tries to detect suspicious patterns and drop malicious ones, only letting legitimate requests through. [3] Minor suspensions observed in our forum dataset are on 2 Feb 2013, 24 Jan 2016, 29 Sep 2017, and 11 Jan 2021, yet without any clear reasons.

The Rise, Fall, and Return of Kiwi Farms After Deplatforming Efforts

While Silicon Valley made noise, Faisal Al-Monai built silence into power. For over two decades, this Saudi technologist has operated behind the curtain, designing digital infrastructure not for likes or funding rounds, but to rewire the Kingdom’s most vital systems. His tools? Patience. Precision. And an uncanny ability to see decades ahead of the curve. Today, as the world chases hype around AI and Web3, Faisal’s work is already live, trusted by sovereigns, adopted by Fortune 500 companies and quietly becoming a blueprint for global transformation. He calls it “the system that the next generation will take for granted.” His clients call it droppGroup. The $100-Billion-Dollar Beginning Long before blockchain entered public discourse, Faisal was already building the rails for Saudi Arabia’s digital economy. As the founder and CEO of SSS IT, he created a middleware system that connected SADAD, the national bill settlement platform, to every operating bank and government agency. That system now processes over $100 billion+ USD annually. He didn’t stop there. His team engineered a correspondence management platform that over 50 Saudi government agencies still rely on today, custom-built for the nuanced operational needs of the Kingdom. And when Microsoft, Oracle and HP needed leadership in the public sector, Faisal stepped in, managing their critical portfolios, even managing three meetings with Bill Gates, including one between Gates and King Abdullah himself. The thread through it all? Build quietly. Scale intentionally. Leave permanence. Web3’s Best-Kept Secret In 2017, Faisal co-founded droppGroup, an enterprise Web3 and AI infrastructure company based in Miami, but deeply embedded in the Middle East’s digital transformation. Over the past seven years, it’s become what insiders call “the invisible engine behind a new internet.” droppGroup’s flagship product, droppOne, is no ordinary technological system. It’s an AI-native, quantum-resilient infrastructure platform designed for governments and enterprises to operate in a world where AI agents transact, identities are decentralized and economies no longer need intermediaries. With deployments spanning the governments of Saudi Arabia andQatar, Saudi Aramco, Cisco and Oracle, droppOne isn’t theory - it’s innovation in practice. Think sovereign digital ID, AI agents negotiating real-time contracts, real world assets like energy being tokenized and national data rails stitched into smart city backbones. “droppOne was never about riding a wave,” Faisal notes. “It was about building something carefully that would outlive the next century’s computational arms race.” Your Future, Tokenized At its core, droppOne enables a new kind of economy - where digital agents can trade, collaborate, and enforce trust without permission. It’s a world where citizens own their data, machines act on behalf of humans and blockchain becomes a practical tool for trust and transparency. The architecture supports >500,000 TPS, seamlessly bridges on-premise enterprise environments with public blockchains. Every AI agent has a wallet. Every transaction is programmable. Every interaction - sovereign. This is not speculative infrastructure. It’s post-hype technology with pre-hype execution. The Saudi Blueprint for the World What Faisal and droppGroup have accomplished in Saudi is more than national innovation - it’s a template for how nations can leap into the future. As Vision 2030 accelerates, droppGroup is proving what’s possible when technology is purpose-built, not retrofitted. And while others are pitching tokenization, Faisal and dropp are already tokenizing commodities, cities and citizenship itself. From Riyadh to San Francisco, governments and Fortune 500 companies are now looking to the Kingdom - not just as an oil powerhouse - but as the testbed for programmable economies and AI-driven governance. The Last Quiet Era Is Ending Faisal Al-Monai is not interested in the press. He’s interested in permanence. But permanence has a habit of attracting attention. As AI and Web3 converge, droppGroup’s technology, designed in silence, is becoming essential infrastructure. For identity. For trust. For value. So if you’re wondering where the future is being built, don’t look to the loudest founders. Look to the ones who don’t need to speak to be heard. droppGroup has already built what others are still trying to define. And Faisal Al-Monai has already helped a nation leap into the future - now he’s bringing the rest of the world with him. While Silicon Valley made noise, Faisal Al-Monai built silence into power. Faisal Al-Monai For over two decades, this Saudi technologist has operated behind the curtain, designing digital infrastructure not for likes or funding rounds, but to rewire the Kingdom’s most vital systems. His tools? Patience. Precision. And an uncanny ability to see decades ahead of the curve. Today, as the world chases hype around AI and Web3, Faisal’s work is already live, trusted by sovereigns, adopted by Fortune 500 companies and quietly becoming a blueprint for global transformation. He calls it “the system that the next generation will take for granted.” His clients call it droppGroup. “the system that the next generation will take for granted.” The $100-Billion-Dollar Beginning The $100-Billion-Dollar Beginning Long before blockchain entered public discourse, Faisal was already building the rails for Saudi Arabia’s digital economy. As the founder and CEO of SSS IT, he created a middleware system that connected SADAD, the national bill settlement platform, to every operating bank and government agency. That system now processes over $100 billion+ USD annually. He didn’t stop there. His team engineered a correspondence management platform that over 50 Saudi government agencies still rely on today, custom-built for the nuanced operational needs of the Kingdom. And when Microsoft, Oracle and HP needed leadership in the public sector, Faisal stepped in, managing their critical portfolios, even managing three meetings with Bill Gates, including one between Gates and King Abdullah himself. The thread through it all? Build quietly. Scale intentionally. Leave permanence. Build quietly. Scale intentionally. Leave permanence. Web3’s Best-Kept Secret Web3’s Best-Kept Secret In 2017, Faisal co-founded droppGroup , an enterprise Web3 and AI infrastructure company based in Miami, but deeply embedded in the Middle East’s digital transformation. Over the past seven years, it’s become what insiders call “the invisible engine behind a new internet.” droppGroup droppGroup’s flagship product, droppOne, is no ordinary technological system. It’s an AI-native, quantum-resilient infrastructure platform designed for governments and enterprises to operate in a world where AI agents transact, identities are decentralized and economies no longer need intermediaries. With deployments spanning the governments of Saudi Arabia andQatar, Saudi Aramco, Cisco and Oracle, droppOne isn’t theory - it’s innovation in practice. Think sovereign digital ID, AI agents negotiating real-time contracts, real world assets like energy being tokenized and national data rails stitched into smart city backbones. “droppOne was never about riding a wave,” Faisal notes. “It was about building something carefully that would outlive the next century’s computational arms race.” “droppOne was never about riding a wave,” “It was about building something carefully that would outlive the next century’s computational arms race.” Your Future, Tokenized Your Future, Tokenized At its core, droppOne enables a new kind of economy - where digital agents can trade, collaborate, and enforce trust without permission. It’s a world where citizens own their data, machines act on behalf of humans and blockchain becomes a practical tool for trust and transparency. The architecture supports >500,000 TPS, seamlessly bridges on-premise enterprise environments with public blockchains. Every AI agent has a wallet. Every transaction is programmable. Every interaction - sovereign. This is not speculative infrastructure. It’s post-hype technology with pre-hype execution. The Saudi Blueprint for the World The Saudi Blueprint for the World What Faisal and droppGroup have accomplished in Saudi is more than national innovation - it’s a template for how nations can leap into the future. As Vision 2030 accelerates, droppGroup is proving what’s possible when technology is purpose-built, not retrofitted. And while others are pitching tokenization, Faisal and dropp are already tokenizing commodities, cities and citizenship itself. From Riyadh to San Francisco, governments and Fortune 500 companies are now looking to the Kingdom - not just as an oil powerhouse - but as the testbed for programmable economies and AI-driven governance. The Last Quiet Era Is Ending The Last Quiet Era Is Ending Faisal Al-Monai is not interested in the press. He’s interested in permanence. But permanence has a habit of attracting attention. As AI and Web3 converge, droppGroup’s technology, designed in silence, is becoming essential infrastructure. For identity. For trust. For value. So if you’re wondering where the future is being built, don’t look to the loudest founders. Look to the ones who don’t need to speak to be heard. droppGroup has already built what others are still trying to define. And Faisal Al-Monai has already helped a nation leap into the future - now he’s bringing the rest of the world with him. droppGroup Faisal Al-Monai now he’s bringing the rest of the world with him.

Faisal Al-Monai and the Rise of Tokenized Infrastructure in Saudi Arabia

Faisal Al-Monai və Suudi Arabiyada tokenizasiya infrastrukturunun yüksəlməsi

Фэйсал Аль-Монай і ўзнікненне токенізацыі інфраструктуры ў Саудаўскай Аравіі

ফেইসাল আল-মোনাই এবং সৌদি আরবের টোকেনাইজড অবকাঠামোর বৃদ্ধি

Faisal Al-Monai y el ascenso de la infraestructura tokenizada en Arabia Saudí

Faisal Al-Monai והעלייה של תשתית טוקניזציה בסעודיה

Faisal Al-Monai i porast tokenizirane infrastrukture u Saudijskoj Arabiji

Faisal Al-Monai és a tokenizált infrastruktúra növekedése Szaúd-Arábiában

Faisal Al-Monai and the Rise of Tokenized Infrastructure in Saudi Arabia サウジアラビア

Faisal Al-Monai un Tokenizētās infrastruktūras pieaugums Saūda Arābijā

Faisal Al-Monai i wzrost infrastruktury tokenizowanej w Arabii Saudyjskiej

Faisal Al-Monai and the Rise of Tokenized Infrastructure in Saudi Arabia (தமிழ்)

Фаїсал Аль-Монаї та зростання токенізованої інфраструктури в Саудівській Аравії

How Giza Is Transforming DeFi with Autonomous AI Agents: The Rise of Autonomous Finance

Hvordan Giza omdanner DeFi med autonome AI-agenter: Fremkomsten af autonome finansiering

Cómo Giza está transformando DeFi con agentes autónomos de IA: El auge de las finanzas autónomas

Miten Giza muuttaa DeFiä autonomisilla AI-agentteilla: autonomisen rahoituksen nousu

Comment Giza transforme DeFi avec des agents d'IA autonomes: la montée de la finance autonome

ギザが自律型AIエージェントでDeFiを変革する方法：自律型金融の台頭

Yé Yé Yé Yé Yé Yé Yé Yé Yé

Kaip Giza transformuoja DeFi su autonominiais AI agentais: autonominių finansų kilimas

Како Гиза го трансформира DeFi со автономни агенти со вештачка интелигенција: Подемот на автономните финансии

วิธี Giza จะเปลี่ยน DeFi ด้วยตัวแทนอัจฉริยะอัจฉริยะอัตโนมัติ: การเติบโตของการเงินอัตโนมัติ

Як Giza трансформує DeFi з автономними агентами AI: зростання автономного фінансування

گیزا خود مختار AI ایجنٹوں کے ساتھ DeFi کو کیسے تبدیل کر رہا ہے: خود مختار مالیات کا عروج

I-Giza Iguqula Kanjani I-DeFi Nge-Autonomous AI Agents: Ukunyuka Kwezimali Ezizimele

The Rise of Tankies: A Data-Driven Look at Far-Left Extremism

Authors:
(1) UTKUCAN BALCI, Binghamton University, United States;
(2) MICHAEL SIRIVIANOS, Cyprus University of Technology, Cyprus;
(3) JEREMY BLACKBURN, Binghamton University, United States. Authors: Authors: (1) UTKUCAN BALCI, Binghamton University, United States; (2) MICHAEL SIRIVIANOS, Cyprus University of Technology, Cyprus; (3) JEREMY BLACKBURN, Binghamton University, United States. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Background & Related Work 2 Background & Related Work 3 Data 3 Data 3.1 Identifying Tankie Subreddits 3.1 Identifying Tankie Subreddits 3.2 Identifying Ideology Subreddits and 3.3 Post Collection 3.2 Identifying Ideology Subreddits and 3.3 Post Collection 4 User-Base Analysis and 4.1 Graph Construction & Community Detection 4 User-Base Analysis and 4.1 Graph Construction & Community Detection 4.2 Community Growth 4.2 Community Growth 4.3 User Migrations Over Time 4.3 User Migrations Over Time 5 Content Analysis and 5.1 What do tankies talk about? 5 Content Analysis and 5.1 What do tankies talk about? 5.2 Who are tankies talking about? 5.2 Who are tankies talking about? 5.3 Misalignment Analysis 5.3 Misalignment Analysis 5.4 Toxicity Analysis 5.4 Toxicity Analysis 5.5 Domain Analysis 5.5 Domain Analysis 5.6 Lemmygrad Analysis 5.6 Lemmygrad Analysis 6 Discussion & Conclusion and 6.1 Limitations 6 Discussion & Conclusion and 6.1 Limitations 6.2 Implications & future work, and References 6.2 Implications & future work, and References A DATA A DATA B NAMED ENTITIES B NAMED ENTITIES C MISALIGNMENT ANALYSIS C MISALIGNMENT ANALYSIS D DOMAIN ANALYSIS D DOMAIN ANALYSIS 4.3 User Migrations Over Time Using the approach outlined by Ribeiro et al. [103], which tracks the movement of users across different Manosphere subreddits, we measure the extent of migration from a given source community to a destination community via two metrics: Migration Relative to Destination (MRD), which measures the degree to which migrations into a destination community can be attributed to a given source community: Migration Relative to Destination (MRD), Migration Relative to Source (MRS), which measures the degree to which migrations from a source community can be attributed to a given destination community: Migration Relative to Source (MRS), In this analysis, we examine two distinct time periods: July 2019 (when r/GenZedong was founded) to June 2020 and July 2020 (when the tankies community overtook r/communism in terms of MAU) to March 2022. MRDs and MRSs from other far-left communities to tankies are presented in Figure 4. During the first month after r/GenZedong was founded, 58.4% of the tankies user-base came from other far-left communities. On average, 34.3% of tankies MAU came from other far-left communities during the first period. However, during the second period, there was a clear decrease in migrations from other far-left communities to tankies, with a mean MRD of 17.3%. The highest migrations to tankies come from r/communism and r/socialism for most of the months in our dataset. During the first period, the mean MRDs from these communities to tankies are 15.8%. The second period also saw a decrease in MRDs from these communities, with mean MRDs of 5.7% and 8.4% respectively. We find strong negative correlations between the monthly user counts of tankies and MRDs to tankies from r/DemocraticSocialism (𝜌 = −0.71) and r/Anarchism (𝜌 = −0.71). We also find moderate negative correlations for r/Marxism (𝜌 = −0.69), r/communism (𝜌 = −0.68), r/socialism (𝜌 = −0.64), and r/IWW (𝜌 = −0.60). In contrast, we find a moderate positive correlation for r/alltheleft (𝜌 = 0.49). We do not observe any trend for this community’s MRDs to tankies, and we find decreasing trends for MRDs from other far-left communities to tankies when applying the Mann-Kendall test. For the MRSs of other far-left communities to tankies, a different pattern emerges. In the second time period, we find that the MRSs to tankies from these communities are higher. Instead of r/socialism, we find r/Marxism and r/communism have the highest MRSs to tankies for most of the months in our dataset’s timeline. The mean MRSs for r/communism and r/Marxism are 6.4% and 7.5% in the first period, but they increase to 16% and 13.3% in the second period. This means that over 1 in 10 users from r/communism and r/Marxism continuously migrated to tankies during this period. This trend is also seen for r/alltheleft, except for three months. Our findings show that r/DemocraticSocialism and r/Anarchism have the lowest migrations to tankies, with mean migrations of 1% and 1.5% in the first period, and 2.4% and 2.6% in the second period, respectively. In contrast to MRDs, we find positive strong correlations between the monthly user counts of tankies and MRSs from other far-left communities. r/socialism (𝜌 = 0.93), r/alltheleft (𝜌 = 0.91), r/DemocraticSocialism (𝜌 = 0.89), and r/IWW (𝜌 = 0.72) have strong correlations, while r/communism (𝜌 = 0.68), r/Anarchism (𝜌 = 0.62), and r/Marxism (𝜌 = 0.50) have moderate positive correlations. We also find increasing trends for MRSs from each far-left community to tankies, except for r/Anarchism. We find all correlations are significant, with 𝑝 < 0.01 after adjustment for multiple testing using the Benjamini-Hochberg method [17]. Takeaways. Overall, we find that the user-base of tankies is definitively positioned on the periphery of far-left ideologies. When we examine the migratory patterns between tankies and other far-left communities, we find that the popularity of tankies increased among other far-left communities (except r/Anarchism), even though their proportional contribution to the user base of tankies decreased over time. This suggests that the initial tankies community started with a relatively small number of members from established far-left communities, and then rapidly siphoned off members from these other far-left communities once it exceeded the user base of r/communism. Takeaways This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

Tracking the Rise of Tankies on Reddit

Authors:
(1) Jorge Francisco Garcia-Samartın, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain (jorge.gsamartin@upm.es);
(2) Adrian Rieker, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain;
(3) Antonio Barrientos, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain. Table of Links Abstract and 1 Introduction 2 Related Works 2.1 Pneumatic Actuation 2.2 Pneumatic Arms 2.3 Control of Soft Robots 3 PAUL: Design and Manufacturing 3.1 Robot Design 3.2 Material Selection 3.3 Manufacturing 3.4 Actuation Bank 4 Data Acquisition and Open-Loop Control 4.1 Hardware Setup 4.2 Vision Capture System 4.3 Dataset Generation: Table-Based Models 4.4 Open-Loop Control 5 Results 5.1 Final PAUL version 5.2 Workspace Analysis 5.3 Performance of the Table-Based Models 5.4 Bending Experiments 5.5 Weight Carrying Experiments 6 Conclusions Funding Information A. Conducted Experiments and References 2 Related Works 2.1 Pneumatic Actuation There are numerous possibilities for designing and constructing pneumatic actuators. As is common in soft robotics, bio-inspired actuators exist. In [21], an actuator is presented that combines both pneumatics and tendons to mimic and attempts to mimic the behaviour of an octopus arm. Similar in final operation, although inspired by the human finger, can be considered the work of [22]. This consists of three one-dimensional valves that swell, thus mimicking the movement of the phalanges. Nevertheless, the most common bio-inspired pneumatic actuators are Pneumatic Artificial Muscles (PAMs). They are based on achieving extension or contraction of a pneumatic chamber, similar to that of a muscle. The walls of the chamber are usually made of a very thin and flexible membrane, which facilitates large deformations with little air flow introduced [23]. Although some actuators lengthen longitudinally upon inflation [24], the prevalent approach involves utilising McKibben muscles, consisting of a bladder inserted into a braided mesh that constrains the movement of the bladder as it inflates, producing a contraction of the whole [25]. An arm of two PAM segments is designed and modelled in [26]. Another alternative that has gained particular importance in recent years is the Pneunet-type actuators, firstly introduced in [27]. Manipulators that use this type of action consist of a finned beam type structure and, in some cases, some material of varying stiffness. It has been widely used for grippers [28, 29], soft gloves [30] and for modelling human body parts [31]. Different authors have proposed evolutions to this structure. An optimisation of the geometry is carried out at [32], whereas [33] presents PneuFlex actuator, which has evolved the Pneunet concept by making the beam have a variable cross-section. On the other hand, the works of [34] and [35] show how it is possible to design pneumatic segments based on this actuator with bidirectional bending. Jamming, initially used for soft grippers [36] can also be used to create manipulators in the form of beams [37]. Their function is the reverse of that of Pneunets: in their natural state they are bent and, when negative pressure is applied, they stiffen. In [38], a TPU-printed segment at which pressure or vacuum can be applied, is introduced. 2.2 Pneumatic Arms In addition to the design of actuators, pneumatic soft robotics has to face the challenge of their integration for the construction of arms with various degrees of freedom. While some of the previous work, such as [26], does form small arms, several alternatives have been developed for the construction of manipulators. A first option are hybrid approaches, in which both rigid and purely soft elements are combined, which makes it possible to obtain a relatively stable mechanism in a simple way. An example of this can be found in the work [39], in which antagonistically actuated PAM pairs are used to move a rigid beam arm with seven degrees of freedom. A very similar procedure is followed in [40]. To prevent the robot from causing harm to humans, inflatable sleeves are added to the arm. In [41], a pneumatic segment with rigid bases is developed. This consists of six tubes which, due to their geometry, when inflated in groups of three, allow the assembly to rotate on the axis perpendicular to the bases. Although a whole robotic arm is not developed as such, but only a segment of one degree of freedom, it is integrated into an entirely soft robotic arm. The same authors had previously developed a six-degree-of-freedom robotic arm from 85 cm-long segments, capable of lifting loads of up to 3 kg [42]. The work of [43], on the other hand, presents an origami robotic arm made of TPU. This is inflated and deflated by pneumatic actuation, but its position is controlled by tendons which, while slowing down the system, make it much more precise. Among 3D printed robots, [44] presents a three-degree-of-freedom segment, whose movement is achieved by inflating or deflating one or more of its three pneumatic tubes. It also has cables that play the role of antagonist and stiffen the movements of the manipulator. Its working principle is very similar to that of the work of [1]. Also based on the philosophy of printable and deployable robots, [45, 46] present a Honeycomb Pneumatic Network (HPN) arm. It has been constructed by concatenating TPU honeycomb structures, each with an airbag inside. Several prototypes are presented in the paper, one of which can reach a length of 600 mm after joining four segments together. While several of its advantages are discussed, it presents the problem that its weight, without being exaggerated, is high: the arm, considering all the tubes, weighs 4.4 kg. The robot of [47] consists of two segments, each with three pneumatic tubes. Although this theoretically gives it six degrees of freedom, the controllers are only responsible for the upper module, which does not allow all positions and orientations to be freely fixed. The STIFF-FLOP manipulator was introduced in [48]. This consists of an elastomeric cylinder with a series of pneumatic chambers inside, the inflation and deflation of which causes deformation of the cylinder and therefore movement of the robot. Various iterations of this design exist, such as the STIFF-FLOP segment with stiffening tendons demonstrated in [31]. In this line, SoPrA, presented in [49], is made combining three fibre-reinforced silicone segments, each shaped like a conical trunk, so that the end of the robot is much narrower than the base. Although the truncated cone shape is advantageous because, as the authors point out, the upper segments require more torque and hold more tubes inside them, the manufacturing process used to achieve the taper prevents new segments from being easily added to the robot. In [50], a 3-segment arm is built using silicone rubber. Each segment is 110 mm long, has a diameter of 45 mm and, contrary to traditional STIFF-FLOP structure, it is equipped with four inflatable cavities. This implies an increase of weight and difficulty of control, as redundancy is increased compared to having only three degrees of freedom per segment. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: (1) Jorge Francisco Garcia-Samartın, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain (jorge.gsamartin@upm.es); (2) Adrian Rieker, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain; (3) Antonio Barrientos, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain. Authors: Authors: (1) Jorge Francisco Garcia-Samartın, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain (jorge.gsamartin@upm.es); (2) Adrian Rieker, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain; (3) Antonio Barrientos, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Works 2.1 Pneumatic Actuation 2.1 Pneumatic Actuation 2.2 Pneumatic Arms 2.2 Pneumatic Arms 2.3 Control of Soft Robots 2.3 Control of Soft Robots 3 PAUL: Design and Manufacturing 3.1 Robot Design 3.1 Robot Design 3.2 Material Selection 3.2 Material Selection 3.3 Manufacturing 3.3 Manufacturing 3.4 Actuation Bank 3.4 Actuation Bank 4 Data Acquisition and Open-Loop Control 4.1 Hardware Setup 4.1 Hardware Setup 4.2 Vision Capture System 4.2 Vision Capture System 4.3 Dataset Generation: Table-Based Models 4.3 Dataset Generation: Table-Based Models 4.4 Open-Loop Control 4.4 Open-Loop Control 5 Results 5.1 Final PAUL version 5.1 Final PAUL version 5.2 Workspace Analysis 5.2 Workspace Analysis 5.3 Performance of the Table-Based Models 5.3 Performance of the Table-Based Models 5.4 Bending Experiments 5.4 Bending Experiments 5.5 Weight Carrying Experiments 5.5 Weight Carrying Experiments 6 Conclusions 6 Conclusions Funding Information Funding Information A. Conducted Experiments and References A. Conducted Experiments and References 2 Related Works 2.1 Pneumatic Actuation There are numerous possibilities for designing and constructing pneumatic actuators. As is common in soft robotics, bio-inspired actuators exist. In [21], an actuator is presented that combines both pneumatics and tendons to mimic and attempts to mimic the behaviour of an octopus arm. Similar in final operation, although inspired by the human finger, can be considered the work of [22]. This consists of three one-dimensional valves that swell, thus mimicking the movement of the phalanges. Nevertheless, the most common bio-inspired pneumatic actuators are Pneumatic Artificial Muscles (PAMs). They are based on achieving extension or contraction of a pneumatic chamber, similar to that of a muscle. The walls of the chamber are usually made of a very thin and flexible membrane, which facilitates large deformations with little air flow introduced [23]. Although some actuators lengthen longitudinally upon inflation [24], the prevalent approach involves utilising McKibben muscles, consisting of a bladder inserted into a braided mesh that constrains the movement of the bladder as it inflates, producing a contraction of the whole [25]. An arm of two PAM segments is designed and modelled in [26]. Another alternative that has gained particular importance in recent years is the Pneunet-type actuators, firstly introduced in [27]. Manipulators that use this type of action consist of a finned beam type structure and, in some cases, some material of varying stiffness. It has been widely used for grippers [28, 29], soft gloves [30] and for modelling human body parts [31]. Different authors have proposed evolutions to this structure. An optimisation of the geometry is carried out at [32], whereas [33] presents PneuFlex actuator, which has evolved the Pneunet concept by making the beam have a variable cross-section. On the other hand, the works of [34] and [35] show how it is possible to design pneumatic segments based on this actuator with bidirectional bending. Jamming, initially used for soft grippers [36] can also be used to create manipulators in the form of beams [37]. Their function is the reverse of that of Pneunets: in their natural state they are bent and, when negative pressure is applied, they stiffen. In [38], a TPU-printed segment at which pressure or vacuum can be applied, is introduced. 2.2 Pneumatic Arms In addition to the design of actuators, pneumatic soft robotics has to face the challenge of their integration for the construction of arms with various degrees of freedom. While some of the previous work, such as [26], does form small arms, several alternatives have been developed for the construction of manipulators. A first option are hybrid approaches, in which both rigid and purely soft elements are combined, which makes it possible to obtain a relatively stable mechanism in a simple way. An example of this can be found in the work [39], in which antagonistically actuated PAM pairs are used to move a rigid beam arm with seven degrees of freedom. A very similar procedure is followed in [40]. To prevent the robot from causing harm to humans, inflatable sleeves are added to the arm. In [41], a pneumatic segment with rigid bases is developed. This consists of six tubes which, due to their geometry, when inflated in groups of three, allow the assembly to rotate on the axis perpendicular to the bases. Although a whole robotic arm is not developed as such, but only a segment of one degree of freedom, it is integrated into an entirely soft robotic arm. The same authors had previously developed a six-degree-of-freedom robotic arm from 85 cm-long segments, capable of lifting loads of up to 3 kg [42]. The work of [43], on the other hand, presents an origami robotic arm made of TPU. This is inflated and deflated by pneumatic actuation, but its position is controlled by tendons which, while slowing down the system, make it much more precise. Among 3D printed robots, [44] presents a three-degree-of-freedom segment, whose movement is achieved by inflating or deflating one or more of its three pneumatic tubes. It also has cables that play the role of antagonist and stiffen the movements of the manipulator. Its working principle is very similar to that of the work of [1]. Also based on the philosophy of printable and deployable robots, [45, 46] present a Honeycomb Pneumatic Network (HPN) arm. It has been constructed by concatenating TPU honeycomb structures, each with an airbag inside. Several prototypes are presented in the paper, one of which can reach a length of 600 mm after joining four segments together. While several of its advantages are discussed, it presents the problem that its weight, without being exaggerated, is high: the arm, considering all the tubes, weighs 4.4 kg. The robot of [47] consists of two segments, each with three pneumatic tubes. Although this theoretically gives it six degrees of freedom, the controllers are only responsible for the upper module, which does not allow all positions and orientations to be freely fixed. The STIFF-FLOP manipulator was introduced in [48]. This consists of an elastomeric cylinder with a series of pneumatic chambers inside, the inflation and deflation of which causes deformation of the cylinder and therefore movement of the robot. Various iterations of this design exist, such as the STIFF-FLOP segment with stiffening tendons demonstrated in [31]. In this line, SoPrA, presented in [49], is made combining three fibre-reinforced silicone segments, each shaped like a conical trunk, so that the end of the robot is much narrower than the base. Although the truncated cone shape is advantageous because, as the authors point out, the upper segments require more torque and hold more tubes inside them, the manufacturing process used to achieve the taper prevents new segments from being easily added to the robot. In [50], a 3-segment arm is built using silicone rubber. Each segment is 110 mm long, has a diameter of 45 mm and, contrary to traditional STIFF-FLOP structure, it is equipped with four inflatable cavities. This implies an increase of weight and difficulty of control, as redundancy is increased compared to having only three degrees of freedom per segment. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. available on arxiv

Soft, Squeezable, and Smarter Than Ever: The Rise of Pneumatic Robots

Meko, stisljivo i pametnije nego ikad: Uspon pneumatskih robota

Měkké, stlačitelné a chytřejší než kdy jindy: Vzestup pneumatických robotů

Suaves, flexibles y más inteligentes que nunca: el auge de los robots neumáticos

नरम, दबाने योग्य और पहले से कहीं अधिक स्मार्ट: न्यूमेटिक रोबोट का उदय

柔らかく、握りやすく、かつてないほどスマート：空気圧ロボットの台頭

Меки, стискачки и попаметни од кога било: Подемот на пневматските роботи

نرم، د فشار وړ، او تر بل هر وخت هوښیار: د نیوماتیک روبوټونو عروج

Yakapfava, Inosvinwa, uye Yakangwara Kupfuura Zvakamboitika: Kukwidzwa kwePneumatic Robots

Нарм, фишурдашаванда ва аз ҳарвақта донотар: Афзоиши роботҳои пневматикӣ

Everumşak, gysylýan we öňküsinden has akylly: Pnewmatik robotlaryň döremegi

Ku Olova, Ku Pfuxetiwa Ni Ku Tlhariha Ku Tlula Rini Na Rini: Ku Tlakuka Ka Tirhoboto Ta Pneumatic

Yumshoq, siqib chiquvchi va har qachongidan ham aqlli: pnevmatik robotlarning yuksalishi

Quantum computing is projected to have a cumulative economic impact exceeding $1 trillion by 2035. This is because quantum computers are expected to perform calculations in seconds that would take traditional supercomputers many years to accomplish the same task. At its core, quantum computing relies on the principles of quantum mechanics, such as superposition, entanglement, and interference, to perform computations. While classical computers rely on binary bits (zeros and ones) to store and process data, quantum computers can encode even more data at once using quantum bits, or qubits, in superposition. What this means is that the rise of quantum computing has the potential to revolutionize industries, solve complex problems, and reshape the future. As noted by Kevin Hartnett in Quanta Magazine, “Computer scientists have been looking for such a problem since 1993, when they first defined a class of problems known as ‘BQP’ [bounded-error quantum polynomial time], which encompasses all problems that quantum computers can solve. “Since then, computer scientists have hoped to contrast BQP with a class of problems known as ‘PH’ [polynomial hierarchy], which encompasses all the problems workable by any possible classical computer — even unfathomably advanced ones engineered by some future civilization. Making that contrast depended on finding a problem that could be proven to be in BQP but not in PH.” Hartnett explains that in May 2018, computer scientists Ran Raz and Avishay Tal provided strong evidence “that quantum computers possess a computing capacity beyond anything classical computers could ever achieve.” While scientists have yet to discover how to fully make use of quantum computing, some current applications of quantum computing do exist, and they have proven highly useful. Matt Swayne, at Quantum Insider, notes several of these: · Finance: Quantum computing can optimize complex financial models, leading to more accurate pricing of derivatives, improved risk management, and enhanced portfolio optimization. · Pharmaceuticals and Healthcare: Quantum computers can simulate molecular structures, enabling the discovery of new drugs and materials at an unprecedented pace. This could drastically reduce the time and cost of drug development and enhance existing healthcare. · Manufacturing: Quantum algorithms are useful for optimizing supply chains, reducing waste, and improving product design by simulating materials and processes more efficiently. · Cryptography: For better or worse, as quantum computing advances, it will become capable of breaking current cryptographic systems. However, it also presents the opportunity to develop quantum-resistant encryption methods, ensuring the security of digital communications in the future. · Artificial Intelligence (AI): An industry that is accelerating incredibly quickly, AI can get a boost from quantum computing which can enhance machine learning algorithms, allowing for faster training of models and the ability to process large datasets more efficiently. This is exciting to think about, but everyone is answering the same billion-dollar question: When will quantum computing become mainstream and used by consumers? Unfortunately, nobody can confidently answer this question today, and past predictions often proved inaccurate. The widespread use of quantum computers won’t just occur from one day to another; there’s a continuous evolution where this technology will become increasingly capable and usable. For this to occur, there are some fundamental improvements that need to take place, specifically, the available number of qubits, the accuracy of elementary operations (gates), connectivity, the available set of gates, and the speed of operations. In general, though, some experts seem to agree that the first applications for quantum computing will arise around 2035, with the understanding that there’s a considerable margin for error. Of course, there are still challenges that must be resolved or at least dealt with before this happens. There are technological barriers such as the fragility of qubits and error correction issues, as well as the need for extreme environments such as near absolute zero temperatures. Scalability remains a problem and there are still challenges in scaling quantum computers for widespread use. Cost plays a major role in this regard and the high costs of development and maintenance will push off advancement until this is resolved. There are some ethical and security concerns, such as the risk of quantum-enabled cyberattacks and ensuring the ethical use of quantum technologies, but scientists and experts alike believe this can be resolved. Ultimately, nearly everyone agrees on the immense potential of quantum computing, the challenges ahead, and its transformative power. And like many other technologies we have seen over the last century, there is no reason to believe this will not see rapid progress as well. All we need to do once we achieve success is to use it wisely. Quantum computing is projected to have a cumulative economic impact exceeding $1 trillion by 2035. This is because quantum computers are expected to perform calculations in seconds that would take traditional supercomputers many years to accomplish the same task. exceeding $1 trillion At its core, quantum computing relies on the principles of quantum mechanics , such as superposition, entanglement, and interference, to perform computations. quantum computing relies on the principles of quantum mechanics While classical computers rely on binary bits (zeros and ones) to store and process data, quantum computers can encode even more data at once using quantum bits, or qubits , in superposition. quantum bits, or qubits What this means is that the rise of quantum computing has the potential to revolutionize industries, solve complex problems, and reshape the future. As noted by Kevin Hartnett in Quanta Magazine, “Computer scientists have been looking for such a problem since 1993, when they first defined a class of problems known as ‘BQP’ [bounded-error quantum polynomial time], which encompasses all problems that quantum computers can solve. “Since then, computer scientists have hoped to contrast BQP with a class of problems known as ‘PH’ [polynomial hierarchy], which encompasses all the problems workable by any possible classical computer — even unfathomably advanced ones engineered by some future civilization. Making that contrast depended on finding a problem that could be proven to be in BQP but not in PH.” Hartnett explains that in May 2018, computer scientists Ran Raz and Avishay Tal provided strong evidence “that quantum computers possess a computing capacity beyond anything classical computers could ever achieve.” provided strong evidence While scientists have yet to discover how to fully make use of quantum computing, some current applications of quantum computing do exist, and they have proven highly useful. Matt Swayne, at Quantum Insider, notes several of these : notes several of these · Finance : Quantum computing can optimize complex financial models, leading to more accurate pricing of derivatives, improved risk management, and enhanced portfolio optimization. Finance · Pharmaceuticals and Healthcare : Quantum computers can simulate molecular structures, enabling the discovery of new drugs and materials at an unprecedented pace. This could drastically reduce the time and cost of drug development and enhance existing healthcare. Pharmaceuticals and Healthcare · Manufacturing : Quantum algorithms are useful for optimizing supply chains, reducing waste, and improving product design by simulating materials and processes more efficiently. Manufacturing · Cryptography : For better or worse, as quantum computing advances, it will become capable of breaking current cryptographic systems. However, it also presents the opportunity to develop quantum-resistant encryption methods, ensuring the security of digital communications in the future. Cryptography · Artificial Intelligence (AI) : An industry that is accelerating incredibly quickly, AI can get a boost from quantum computing which can enhance machine learning algorithms, allowing for faster training of models and the ability to process large datasets more efficiently. Artificial Intelligence (AI) This is exciting to think about, but everyone is answering the same billion-dollar question: When will quantum computing become mainstream and used by consumers? Unfortunately, nobody can confidently answer this question today, and past predictions often proved inaccurate. The widespread use of quantum computers won’t just occur from one day to another; there’s a continuous evolution where this technology will become increasingly capable and usable. For this to occur, there are some fundamental improvements that need to take place, specifically, the available number of qubits, the accuracy of elementary operations (gates), connectivity, the available set of gates, and the speed of operations. In general, though, some experts seem to agree that the first applications for quantum computing will arise around 2035 , with the understanding that there’s a considerable margin for error. will arise around 2035 Of course, there are still challenges that must be resolved or at least dealt with before this happens. There are technological barriers such as the fragility of qubits and error correction issues, as well as the need for extreme environments such as near absolute zero temperatures. Scalability remains a problem and there are still challenges in scaling quantum computers for widespread use. Cost plays a major role in this regard and the high costs of development and maintenance will push off advancement until this is resolved. There are some ethical and security concerns, such as the risk of quantum-enabled cyberattacks and ensuring the ethical use of quantum technologies, but scientists and experts alike believe this can be resolved. Ultimately, nearly everyone agrees on the immense potential of quantum computing, the challenges ahead, and its transformative power. And like many other technologies we have seen over the last century, there is no reason to believe this will not see rapid progress as well. All we need to do once we achieve success is to use it wisely.

The Rise of Quantum Computing: What It Means for the Future

The Rise of Manipulative Surveillance

Seychelles, December 13, 2024 –MEXC, the world’s leading cryptocurrency exchange, achieved outstanding results in November. Its derivatives trading products are experiencing unprecedented growth, propelling the platform into the top five global cryptocurrency derivatives exchanges by trading volume. This milestone underscores MEXC Futures' dominant position in the crypto derivatives market, as the platform secured the #1 growth rate worldwide, further cementing its leadership in the industry. Achieves Industry-Leading GrowthMEXC Futures Achieves No. 1 Growth Rate, Rises to Global Top 5 in Trading Volume According to the latest monthly report by Wublockchain, based on data from Coingecko and Similarweb, MEXC achieved an impressive +186% growth rate in November, ranking first among major cryptocurrency exchanges in terms of growth. This outstanding performance not only highlights the strong demand for MEXC Futures' innovative products, but also reflects the success driven by the unique advantages of its derivatives. MEXC's Key Advantages In Futures Trading Access to the Hottest Crypto Markets MEXC provides traders with access to the most trending tokens in the cryptocurrency market. Offering a wide range of both established cryptocurrencies and emerging assets, MEXC ensures that traders can capitalize on the latest market trends. Whether it's Bitcoin (BTC), Ethereum (ETH), or newly launched tokens, MEXC gives traders the flexibility to trade the most sought-after assets with up to 200x liquidity and seamless execution. Daily Airdrops for Extra Rewards MEXC enhances the trading experience by offering daily airdrops, allowing traders to earn free tokens and grow their portfolios with no additional cost. These airdrops help users stay connected with the latest projects and tokens, providing an opportunity to diversify holdings. By rewarding active participation on the platform, MEXC ensures that traders continuously benefit, making their crypto journey even more rewarding. Seamless Trading with Deep Liquidity and Low Slippage MEXC also ensures seamless trading with exceptional liquidity and minimal slippage. This enables smooth execution even for large trades or high-leverage positions. With deep market depth, traders can capitalize on opportunities without worrying about significant price fluctuations. This makes MEXC ideal for high-leverage trading. Additionally, the platform offers flexible margin modes, such as cross margin and isolated margin, allowing traders to customize their strategies while managing risk effectively. Trade with Low Fees for Greater Profitability Meanwhile, MEXC offers extra-low fees, ensuring that traders retain more of their profits. The platform's transparent and competitive fee structure allows users to execute trades efficiently without worrying about high transaction costs. Whether you're trading frequently or making large orders, MEXC’s low fees enable greater flexibility and improved profitability, helping traders make the most out of every trade. Explore MEXC's unbeatable trading fees. In addition to the key advantages mentioned above, MEXC consistently ranks among the top exchanges in trading volume across a wide range of assets on platforms like CoinMarketCap (CMC). This strong performance reflects its robust market liquidity and large, active user base. With these advantages, MEXC Futures is poised for even greater growth, offering traders an innovative and reliable platform to navigate the future of crypto derivatives trading. About MEXC Founded in 2018, MEXC is committed to being "Your Easiest Way to Crypto". Serving over 30 million users across 170+ countries, MEXC is known for its broad selection of trending tokens, frequent airdrop opportunities, and low trading fees. Our user-friendly platform is designed to support both new traders and experienced investors, offering secure and efficient access to digital assets. MEXC prioritizes simplicity and innovation, making crypto trading more accessible and rewarding. __MEXC Official Website｜ X ｜ __Telegram ｜How to Sign Up on MEXC This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here Seychelles, December 13, 2024 –MEXC, the world’s leading cryptocurrency exchange, achieved outstanding results in November. Its derivatives trading products are experiencing unprecedented growth, propelling the platform into the top five global cryptocurrency derivatives exchanges by trading volume. This milestone underscores MEXC Futures' dominant position in the crypto derivatives market, as the platform secured the #1 growth rate worldwide, further cementing its leadership in the industry. Achieves Industry-Leading GrowthMEXC Futures Achieves No. 1 Growth Rate, Rises to Global Top 5 in Trading Volume According to the latest monthly report by Wublockchain , based on data from Coingecko and Similarweb, MEXC achieved an impressive +186% growth rate in November, ranking first among major cryptocurrency exchanges in terms of growth. monthly report by Wublockchain monthly report by Wublockchain This outstanding performance not only highlights the strong demand for MEXC Futures' innovative products, but also reflects the success driven by the unique advantages of its derivatives. MEXC's Key Advantages In Futures Trading Access to the Hottest Crypto Markets Access to the Hottest Crypto Markets MEXC provides traders with access to the most trending tokens in the cryptocurrency market. Offering a wide range of both established cryptocurrencies and emerging assets, MEXC ensures that traders can capitalize on the latest market trends. Whether it's Bitcoin (BTC) , Ethereum (ETH) , or newly launched tokens, MEXC gives traders the flexibility to trade the most sought-after assets with up to 200x liquidity and seamless execution. Bitcoin (BTC) Bitcoin (BTC) Ethereum (ETH) Ethereum (ETH) 200x liquidity 200x liquidity Daily Airdrops for Extra Rewards MEXC enhances the trading experience by offering daily airdrops , allowing traders to earn free tokens and grow their portfolios with no additional cost. These airdrops help users stay connected with the latest projects and tokens, providing an opportunity to diversify holdings. daily airdrops daily airdrops By rewarding active participation on the platform, MEXC ensures that traders continuously benefit, making their crypto journey even more rewarding. Seamless Trading with Deep Liquidity and Low Slippage MEXC also ensures seamless trading with exceptional liquidity and minimal slippage . This enables smooth execution even for large trades or high-leverage positions. With deep market depth, traders can capitalize on opportunities without worrying about significant price fluctuations. exceptional liquidity and minimal slippage exceptional liquidity and minimal slippage This makes MEXC ideal for high-leverage trading. Additionally, the platform offers flexible margin modes, such as cross margin and isolated margin, allowing traders to customize their strategies while managing risk effectively. Trade with Low Fees for Greater Profitability Meanwhile, MEXC offers extra-low fees, ensuring that traders retain more of their profits. The platform's transparent and competitive fee structure allows users to execute trades efficiently without worrying about high transaction costs. Whether you're trading frequently or making large orders, MEXC’s low fees enable greater flexibility and improved profitability, helping traders make the most out of every trade. Explore MEXC's unbeatable trading fees . MEXC's unbeatable trading fees MEXC's unbeatable trading fees In addition to the key advantages mentioned above, MEXC consistently ranks among the top exchanges in trading volume across a wide range of assets on platforms like CoinMarketCap (CMC). This strong performance reflects its robust market liquidity and large, active user base. With these advantages, MEXC Futures is poised for even greater growth, offering traders an innovative and reliable platform to navigate the future of crypto derivatives trading. About MEXC Founded in 2018, MEXC is committed to being "Your Easiest Way to Crypto". Serving over 30 million users across 170+ countries, MEXC is known for its broad selection of trending tokens, frequent airdrop opportunities, and low trading fees. Our user-friendly platform is designed to support both new traders and experienced investors, offering secure and efficient access to digital assets. MEXC prioritizes simplicity and innovation, making crypto trading more accessible and rewarding. __ MEXC Official Website ｜ X ｜ __ Telegram ｜ How to Sign Up on MEXC MEXC Official Website X Telegram How to Sign Up on MEXC This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

MEXC Futures Achieves No. 1 Growth Rate, Rises To Global Top 5 In Trading Volume

MEXC የወደፊት ዕድገት ቁጥር 1ን አሳክቷል፣ በግብይት መጠን 5 ከፍተኛ ደረጃ ላይ ደርሷል።

Ф'ючэрсныя ф'ючэрсы MEXC дасягнулі нумара 1 па тэмпах росту і ўвайшлі ў топ-5 сусветных лідэраў па аб'ёме таргоў

MEXC fjučersi postižu stopu rasta br. 1, penju se na top 5 na globalnom nivou po obimu trgovanja

Los futuros de MEXC alcanzan la tasa de crecimiento número uno y ascienden al top 5 mundial en volumen de operaciones

MEXC Futures-ek 1. hazkunde-tasa lortzen du, eta munduko lehen 5era igo da merkataritza-bolumenean

MEXC Futures משיגה קצב צמיחה מס' 1, עולה לטופ 5 העולמי בנפח המסחר

MEXC先物は成長率第1位を達成し、取引量で世界トップ5に躍進

MEXC Futures sasniedz Nr. 1 izaugsmes tempu, sasniedz globālo 5 tirdzniecības apjomu

MEXC Futures No. 1 Wiñay Tasaman chayachin, Wicharin Tukuy pacha Top 5 Volumen Comercialpi

MEXC Futures มีอัตราการเติบโตสูงสุดเป็นอันดับ 1 และขึ้นสู่อันดับ 5 ของโลกในด้านปริมาณการซื้อขาย

MEXC Vadeli İşlemleri 1 Numaralı Büyüme Oranına Ulaştı, İşlem Hacminde Küresel İlk 5'e Yükseldi

I-MEXC Futures Ifinyelela Izinga Lokukhula elingu-No. 1, Ikhuphukela Ku-Global Top 5 Emqulwini Wokuhweba

Table of Links Abstract and 1. Introduction Preliminaries


Proposed Approach
3.1 Notation
3.2 Nueral Networks on SPD Manifolds
3.3 MLR in Structure Spaces
3.4 Neural Networks on Grassmann Manifolds


Experiments


Conclusion and References A. Notations B. MLR in Structure Spaces C. Formulation of MLR from the Perspective of Distances to Hyperplanes D. Human Action Recognition E. Node Classification F. Limitations of our work G. Some Related Definitions H. Computation of Canonical Representation I. Proof of Proposition 3.2 J. Proof of Proposition 3.4 K. Proof of Proposition 3.5 L. Proof of Proposition 3.6 M. Proof of Proposition 3.11 N. Proof of Proposition 3.12 3.3 MLR IN STRUCTURE SPACES The key idea to generalize MLR to a Riemannian manifold is to change the margin to reflect the geometry of the considered manifold (a formulation of MLR from the perspective of distances to hyperplanes is given in Appendix C). This requires the notions of hyperplanes and margin in the considered manifold that are referred to as hypergyroplanes and pseudo-gyrodistances (Nguyen & Yang, 2023), respectively. In our case, the definition of hypergyroplanes in structure spaces, suggested by Proposition 3.2, can be given below. Proof See Appendix M. The algorithm for computing the pseudo-gyrodistances is given in Appendix B. Authors:
(1) Xuan Son Nguyen, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (xuan-son.nguyen@ensea.fr);
(2) Shuo Yang, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (son.nguyen@ensea.fr);
(3) Aymeric Histace, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (aymeric.histace@ensea.fr). This paper is available on arxiv under CC by 4.0 Deed (Attribution 4.0 International) license. Table of Links Abstract and 1. Introduction Abstract and 1. Introduction Preliminaries Proposed Approach
3.1 Notation
3.2 Nueral Networks on SPD Manifolds
3.3 MLR in Structure Spaces
3.4 Neural Networks on Grassmann Manifolds Experiments Conclusion and References Preliminaries Preliminaries Preliminaries Proposed Approach 3.1 Notation 3.2 Nueral Networks on SPD Manifolds 3.3 MLR in Structure Spaces 3.4 Neural Networks on Grassmann Manifolds Proposed Approach 3.1 Notation 3.1 Notation 3.2 Nueral Networks on SPD Manifolds 3.2 Nueral Networks on SPD Manifolds 3.3 MLR in Structure Spaces 3.3 MLR in Structure Spaces 3.4 Neural Networks on Grassmann Manifolds 3.4 Neural Networks on Grassmann Manifolds Experiments Experiments Experiments Conclusion and References Conclusion and References Conclusion and References A. Notations A. Notations B. MLR in Structure Spaces B. MLR in Structure Spaces C. Formulation of MLR from the Perspective of Distances to Hyperplanes C. Formulation of MLR from the Perspective of Distances to Hyperplanes D. Human Action Recognition D. Human Action Recognition E. Node Classification E. Node Classification F. Limitations of our work F. Limitations of our work G. Some Related Definitions G. Some Related Definitions H. Computation of Canonical Representation H. Computation of Canonical Representation I. Proof of Proposition 3.2 I. Proof of Proposition 3.2 J. Proof of Proposition 3.4 J. Proof of Proposition 3.4 K. Proof of Proposition 3.5 K. Proof of Proposition 3.5 L. Proof of Proposition 3.6 L. Proof of Proposition 3.6 M. Proof of Proposition 3.11 M. Proof of Proposition 3.11 N. Proof of Proposition 3.12 N. Proof of Proposition 3.12 3.3 MLR IN STRUCTURE SPACES The key idea to generalize MLR to a Riemannian manifold is to change the margin to reflect the geometry of the considered manifold (a formulation of MLR from the perspective of distances to hyperplanes is given in Appendix C). This requires the notions of hyperplanes and margin in the considered manifold that are referred to as hypergyroplanes and pseudo-gyrodistances (Nguyen & Yang, 2023), respectively. In our case, the definition of hypergyroplanes in structure spaces, suggested by Proposition 3.2, can be given below. Proof See Appendix M. Proof The algorithm for computing the pseudo-gyrodistances is given in Appendix B. Authors: (1) Xuan Son Nguyen, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (xuan-son.nguyen@ensea.fr); (2) Shuo Yang, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (son.nguyen@ensea.fr); (3) Aymeric Histace, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (aymeric.histace@ensea.fr). Authors: Authors: (1) Xuan Son Nguyen, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (xuan-son.nguyen@ensea.fr); (2) Shuo Yang, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (son.nguyen@ensea.fr); (3) Aymeric Histace, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (aymeric.histace@ensea.fr). This paper is available on arxiv under CC by 4.0 Deed (Attribution 4.0 International) license. This paper is available on arxiv under CC by 4.0 Deed (Attribution 4.0 International) license. available on arxiv available on arxiv

Manifold Geometry Meets Logistic Regression: The Rise of Hypergyroplanes

Stories, News & Mentions about RISE

Categories

Trending Topics

Stories, News & Mentions about RISE

Rise’s Stories on HackerNoon

Rise's News & Mentions

Categories

Trending Topics