<img src="https://spectrum.ieee.org/media-library/conceptual-illustration-of-a-money-plant-growing-bigger-while-its-being-watered.jpg?id=62145334&width=1245&height=700&coordinates=0%2C300%2C0%2C300"/> <a href="https://www.givingtuesday.org/" rel="noopener noreferrer" target="_blank">Giving Tuesday</a>, being held on 2 December this year, is a day globally dedicated to generosity and empowering individuals and organizations to transform people’s lives and communities. For this year’s event, <a href="https://www.ieee.org/" rel="noopener noreferrer" target="_blank">IEEE</a> and the <a href="https://www.ieeefoundation.org/" rel="noopener noreferrer" target="_blank">IEEE Foundation</a> invite members to <a href="https://spectrum.ieee.org/members-donating-to-ieee-foundation" target="_self">invest</a> in the organization’s charitable programs. The programs aim to inspire the next generation of engineers, provide sustainable energy to those in need, assist in emergency response efforts, and more.This Giving Tuesday, members have the opportunity to help amplify the technological breakthroughs and innovative programs that change lives globally.<h2>Double your impact</h2>The initial US $75,000 donated to the Giving Tuesday campaign will be matched by the IEEE Foundation, dollar for dollar, up to $150,000.Donors can direct their gift to the IEEE <a href="https://www.ieeefoundation.org/impact/" rel="noopener noreferrer" target="_blank">program</a> they feel most connected to, or they can choose to direct their donation to the IEEE Foundation for efforts that:<ul><li>Illuminate the possibilities of technology to address global challenges.</li><li>Educate the next generation of innovators and engineers.</li><li>Engage a wider audience to appreciate the impact of engineering.</li><li>Energize innovation by celebrating excellence.</li><li>Shape the destiny of the next generation.</li></ul><h2>Help shine a light on your favorite program</h2>Donating money is not the only way to make an impact on IEEE’s Giving Tuesday. Here are some other opportunities.<ul><li>Become a <a href="https://www.ieeefoundation.org/community/?utm_source=institute&utm_medium=publication&utm_campaign=giving+tuesday25" rel="noopener noreferrer" target="_blank">community fundraiser</a> and help promote your favorite IEEE philanthropic program or the IEEE Foundation to your network by creating a personalized page on the IEEE Foundation website. Once your page is set up, you can share it on your social media profiles and email it to your friends, family, and professional contacts.</li><li>Share, like, and comment on Giving Tuesday posts on <a href="https://www.facebook.com/IEEEFoundation" rel="noopener noreferrer" target="_blank">Facebook</a> and <a href="https://www.linkedin.com/company/ieee-foundation" rel="noopener noreferrer" target="_blank">LinkedIn</a> leading up to and on the day.</li><li>Post an #Unselfie photo—a picture of yourself accompanied by why you support IEEE’s philanthropic programs—on social media using the hashtags #IEEEFoundation and #IEEEGivingTuesday. The Foundation provides a <a href="https://www.ieeefoundation.org/toolkit/?utm_source=institute&utm_medium=publication&utm_campaign=giving+tuesday25" rel="noopener noreferrer" target="_blank">tool kit</a> with social media templates and fundraising resources on its website.</li></ul>For updates, check the IEEE Foundation <a href="https://www.ieeefoundation.org/givingtuesday?utm_source=institute&utm_medium=publication&utm_campaign=giving+tuesday25" rel="noopener noreferrer" target="_blank">Giving Tuesday web page</a> and follow the <a href="https://spectrum.ieee.org/ieee-foundation-day" target="_self">Foundation</a> on <a href="https://www.facebook.com/IEEEFoundation" rel="noopener noreferrer" target="_blank">Facebook</a> and <a href="https://www.linkedin.com/company/ieee-foundation" rel="noopener noreferrer" target="_blank">LinkedIn</a>.This article was updated on 12 November 2025.

يُعقد يوم العطاء، المقرر في 2 ديسمبر، كحدث عالمي مخصص للكرم، حيث يشجع الأفراد والمنظمات على تحويل حياة الناس والمجتمعات. هذا العام، تدعو IEEE ومؤسسة IEEE الأعضاء للاستثمار في البرامج الخيرية التي تهدف إلى إلهام الجيل القادم من المهندسين، وتوفير الطاقة المستدامة للمحتاجين، والمساعدة في جهود الاستجابة للطوارئ. تؤكد هذه المبادرة على أهمية العمل الجماعي في تعزيز التغيير الإيجابي من خلال التبرعات.

El Giving Tuesday, programado para el 2 de diciembre, es un día global dedicado a la generosidad, alentando a individuos y organizaciones a transformar vidas y comunidades. Este año, IEEE y la Fundación IEEE invitan a los miembros a invertir en programas benéficos destinados a inspirar a la próxima generación de ingenieros, proporcionar energía sostenible y ayudar en los esfuerzos de respuesta a emergencias. La iniciativa enfatiza la importancia de la acción colectiva para fomentar un cambio positivo a través de donaciones.

Le Giving Tuesday, prévu pour le 2 décembre, est une journée mondiale dédiée à la générosité, encourageant les individus et les organisations à transformer des vies et des communautés. Cette année, l'IEEE et la Fondation IEEE invitent les membres à investir dans des programmes caritatifs visant à inspirer les futurs ingénieurs, à fournir de l'énergie durable et à aider dans les efforts de réponse aux urgences. L'initiative souligne l'importance de l'action collective pour favoriser un changement positif par le biais de dons.

Giving Tuesday, scheduled for December 2, is a global day dedicated to generosity, encouraging individuals and organizations to transform lives and communities. This year, IEEE and the IEEE Foundation are inviting members to invest in charitable programs aimed at inspiring future engineers, providing sustainable energy, and assisting in emergency response efforts. The initiative emphasizes the importance of collective action in fostering positive change through donations.

Be a Force for Good On Giving Tuesday

Apple has released a firmware update for a number of its accessories – here's how to check if you have it

أعلنت شركة آبل عن تحديث للبرامج الثابتة لعدد من ملحقاتها، بما في ذلك Magic Trackpad ولوحة المفاتيح. يمكن للمستخدمين التحقق مما إذا كانوا قد تلقوا التحديث لتحسين أداء أجهزتهم.

Apple ha anunciado una actualización de firmware para varios de sus accesorios, incluido el Magic Trackpad y el teclado. Los usuarios pueden verificar si han recibido la actualización para mejorar el rendimiento de sus dispositivos.

Apple a annoncé une mise à jour du firmware pour plusieurs de ses accessoires, y compris le Magic Trackpad et le clavier. Les utilisateurs peuvent vérifier s'ils ont reçu la mise à jour pour améliorer les performances de leurs appareils.

Apple has announced a firmware update for several of its accessories, including the Magic Trackpad and Keyboard. Users can check if they have received the update to enhance their device performance.

Your Apple Magic Trackpad and Keyboard just got a surprise firmware update

<a href="https://fetch.ai/">Fetch AI</a>, a startup founded and led by former DeepMind founding investor, Humayun Sheikh, <a href="https://www.businesswire.com/news/home/20251119088395/en/Fetch-Combines-Personalized-AI-with-Multi-Agent-Collaboration-to-Handle-Complex-Consumer-Tasks-Launches-Claim-Your-Agent-to-Fight-Brand-Knock-Offs">today announced the release</a> of three interconnected products designed to provide the trust, coordination, and interoperability needed for large-scale AI agent ecosystems. The launch includes <a href="https://asi1.ai/">ASI:One</a>, a personal-AI orchestration platform; <a href="https://business.fetch.ai/">Fetch Business</a>, a verification and discovery portal for brand agents; and <a href="https://agentverse.ai/?sort=relevancy&amp;page=1&amp;recommended=true">Agentverse</a>, an open directory hosting more than two million agents. Together, the system positions Fetch as an infrastructure provider for what it calls the “Agentic Web”—a layer where consumer AIs and brand AIs collaborate to complete tasks instead of merely suggesting them.The company says the tools address a central limitation in current consumer AI: models can provide recommendations but cannot reliably execute multi-step actions that require coordination across businesses. Fetch’s approach centers on enabling agents from different organizations to interoperate securely, using verified identities and shared context to complete end-to-end workflows.“We’re creating the same foundation for agents that Google created for websites,” said Humayun Sheikh, Founder and CEO of Fetch AI, and an early investor in DeepMind, in a press release provided to VentureBeat. “Instead of just finding information, your personal AI coordinates with verified brand agents to get things done.”<h2>Background: Fetch’s Founding and DeepMind Connection </h2>Fetch AI was founded in 2017 by Humayun Sheikh, an entrepreneur whose early investment in DeepMind helped support the company’s commercial development before its acquisition by Google. “I was one of the first five people at DeepMind and its first investor. My check was the first one in,” Sheikh said, reflecting on the period when advanced machine learning research was still largely inaccessible outside major technology companies.His early experience helped shape Fetch’s direction. “Even in 2013, it was clear to me that agentic systems were going to be the ones that worked. That’s where I focused—on the agentic web,” Sheikh noted. Fetch built on this thesis by developing infrastructure for autonomous software agents, focusing on verifiable identity, secure data exchange, and multi-agent coordination. Over the past several years, the company has expanded to a 70-person team across Cambridge and Menlo Park, raised approximately $60 million, and accumulated more than one million users interacting with its model—data that informed the design of the newly launched products.Sheikh added that his decision to bootstrap the company initially came directly from the proceeds of the DeepMind exit, noting in the interview that while the sale to Google was “a good exit,” he believed the team could have held out for a higher valuation. The early self-funding period allowed Fetch to begin work in 2015—well before transformer architectures went mainstream—on the hypothesis that agentic infrastructure would become foundational to applied AI.<h2>ASI:One — A Platform for Multi-Agent Orchestration</h2>At the core of the launch is ASI:One, a language model interface designed specifically for coordinating multiple agents rather than addressing isolated queries. Fetch describes it as an “intelligence layer” that handles context sharing, task routing, and preference modeling.The system stores user-level signals such as favored airlines, dietary constraints, budget ranges, loyalty program identifiers, and calendar availability. When a user requests a complex task—such as planning a trip with flights, hotels, and restaurant reservations—ASI:One retrieves those preferences and delegates work to the appropriate verified agents. The agents then return actionable outputs, including inventory and booking options, rather than generic recommendations.In practice, ASI:One functions as a workflow generator across organizational boundaries. By contrast with conventional LLM applications, which often rely on APIs or RAG techniques to surface information, ASI:One is built to coordinate autonomous agents that can complete transactions. Fetch notes that personalization improves over time as the model accumulates structured preference data.Sheikh emphasized the distinction between orchestrated execution and traditional AI output. “This isn’t searching for options separately and hoping they work together,” he said. “It’s orchestration.” He added that Fetch’s architecture is intentionally modular: “Our architecture is a mix of agentic and expert models. One large model isn’t enough—you need specialists. That’s why we built ASI1, tuned specifically for agentic systems.”The interview also revealed new details about ASI:One’s personalization systems: the platform uses multiple user-owned knowledge graphs to store preferences, travel history, social connections, and contextual constraints. These knowledge graphs are siloed per user and not co-mingled with any Fetch-operated data. Sheikh described this as a “deterministic backbone” that gives the personal AI a stable memory layer beyond the probabilistic output of a single large model.ASI:One launches in Beta today, with a broader release planned for early 2026. Fetch also offers ASI:One Mobile, released earlier this year, giving users access to the same agent-orchestration capabilities on iOS and Android. The mobile app connects directly to Agentverse and the user’s knowledge graphs, enabling on-the-go task execution and real-time interaction with registered agents.<h2>Fetch Business — Verified Identity and Brand Control</h2>To enable reliable coordination between consumers and companies, Fetch is introducing a verification and discovery portal called Fetch Business. The platform allows organizations to verify their identity and claim an official Brand Agent handle—for example, @Hilton or @Nike—regardless of which tools they use to build the underlying agent.Fetch positions the product as an analogue to ICANN domain registration and SSL certificate systems for websites. Verified status is intended to protect consumers from interacting with counterfeit or untrusted agents, a problem the company describes as a major barrier to widespread agent adoption.The system includes low-code tools for small businesses to create agents in a few steps and connect real-time APIs such as inventory, booking systems, or CRM platforms. “With Fetch, you can create an agent in one minute. It gets a handle, like a Twitter username, and you can personalize it completely—even give it your social media permissions to post on your behalf,” Sheikh said. Once a brand claims its namespace, its agent becomes discoverable to consumer AIs and other agents inside Agentverse.The company has pre-reserved thousands of brand namespaces in anticipation of demand. Verification status persists across any platform that integrates with Agentverse, creating a portable identity layer for business agents.The interview highlighted that Fetch Business inherits web-trust primitives directly: domain owners verify their identity by inserting a short code snippet into their existing website backend, allowing the system to pass a cryptographic challenge and grant the agent an authenticity badge similar to a “blue check” for agent identities. Sheikh framed this as “reusing the trust layer the web already spent decades building.”Companies can begin claiming agents now at <a href="https://business.fetch.ai/">business.fetch.ai</a>.<h2>Agentverse — An Open Directory of More Than Two Million Agents</h2>The final component of the release is <a href="https://agentverse.ai/">Agentverse</a>, an open directory and cloud platform that hosts agents and enables cross-ecosystem discoverability. Fetch states that millions of agents have already registered, spanning travel, retail, entertainment, food service, and enterprise categories.Agentverse provides metadata, capability descriptions, and routing logic that ASI:One uses to identify appropriate agents for specific tasks. It also supports secure communication and data exchange between agents. The company notes that the directory is platform-agnostic: agents built with any framework can join and interoperate.According to Sheikh, the lack of a discovery layer is one reason most AI agents see little or no usage. “Ninety percent of AI agents never get used because there’s no discovery layer,” he said. He framed the role of Agentverse in more technical terms: “Right now, if you build an agent, there’s no universal way for others to discover it. That’s what AgentVerse solves—it’s like DNS for agents.” He also described the system as an essential component of the emerging agent economy: “Fetch is building the Google of agents. Just like websites needed search, agents need discovery, trust, and interaction—Fetch provides all of that.”The interview further underscored that Agentverse is cloud-agnostic by design. Sheikh contrasted this with competing agent ecosystems tied to specific cloud providers, arguing that a universal registry is only viable if independent of proprietary cloud environments. He said the open architecture enables an LLM to query any agent “within one minute of deployment,” turning agent publication into a near-instantaneous process similar to registering a domain.Agentverse also integrates payment pathways, enabling agents to execute purchases using partners such as Visa, Skyfire, and supported stablecoins. Consumers can configure spending limits or require explicit approval for transactions.<h2>Industry Context and Implications</h2>Fetch’s launch comes at a time when consumer AI platforms are exploring the shift from static chat interfaces toward autonomous agents capable of completing actions. However, most agent systems remain limited by siloed architectures, limited interoperability, and weak verification standards.Fetch positions its infrastructure as a response to these limitations by providing a cross-platform coordination layer, identity system, and directory service. The company argues that an agent ecosystem requires consistent verification mechanisms to ensure that consumers interact with authentic brand representatives rather than imitations. By establishing namespace control and portable trust indicators, Fetch Business aims to fill a gap similar to early web domain verification.At the same time, ASI:One attempts to centralize user preference data in a way that enables more efficient personalization and multi-agent coordination. This approach differs from generalist LLM applications, which often lack persistent preference architectures or direct access to brand-controlled agents.The interview also made clear that micropayments and digital transaction infrastructure are central to Fetch’s long-term vision. Sheikh referenced integrations with protocols such as Coinbase’s 402 and AP2, positioning these capabilities as essential for autonomous agents to complete end-to-end tasks that include financial execution.<h2>Takeaway</h2>Fetch’s combined release of ASI:One, Fetch Business, and Agentverse introduces an interconnected stack designed to support large-scale deployment and usage of AI agents. The company frames the system as foundational infrastructure for an agentic ecosystem, where consumer AIs can coordinate with verified brand agents to complete tasks reliably and securely. The additions to its identity, discovery, and orchestration layers reflect Fetch’s long-standing thesis—rooted partly in lessons from DeepMind’s early development—that intelligence becomes meaningful only when paired with the capacity to act.

أطلقت شركة Fetch AI، وهي شركة ناشئة يقودها هميون شيخ، ثلاثة منتجات مترابطة تهدف إلى تعزيز نظام وكلاء الذكاء الاصطناعي. تشمل العروض الجديدة ASI:One، وهي منصة تنسيق ذكاء اصطناعي شخصي، وFetch Business، وهو بوابة للتحقق والاكتشاف لوكلاء العلامات التجارية، وAgentverse، وهو دليل مفتوح يضم أكثر من مليوني وكيل. تسعى هذه المبادرة إلى إنشاء بنية تحتية قوية لما تصفه Fetch بـ 'الويب الوكالي.'

Fetch AI, una startup dirigida por Humayun Sheikh, ha lanzado tres productos interconectados destinados a mejorar el ecosistema de agentes de IA. Las nuevas ofertas incluyen ASI:One, una plataforma de orquestación de IA personal, Fetch Business, un portal de verificación y descubrimiento para agentes de marca, y Agentverse, un directorio abierto con más de dos millones de agentes. Esta iniciativa busca establecer una infraestructura sólida para lo que Fetch describe como la 'Web Agente.'

Fetch AI, une startup dirigée par Humayun Sheikh, a lancé trois produits interconnectés visant à améliorer l'écosystème des agents IA. Les nouvelles offres comprennent ASI:One, une plateforme d'orchestration d'IA personnelle, Fetch Business, un portail de vérification et de découverte pour les agents de marque, et Agentverse, un annuaire ouvert avec plus de deux millions d'agents. Cette initiative vise à établir une infrastructure robuste pour ce que Fetch décrit comme le 'Web Agentique.'

Fetch AI, a startup led by Humayun Sheikh, has launched three interconnected products aimed at enhancing the ecosystem of AI agents. The new offerings include ASI:One, a personal-AI orchestration platform, Fetch Business, a verification and discovery portal for brand agents, and Agentverse, an open directory with over two million agents. This initiative seeks to establish a robust infrastructure for what Fetch describes as the 'Agentic Web.'

The Google Search of AI agents? Fetch launches ASI:One and Business tier for new era of non-human web

فشلت محاولة ديزني لوقف Sling TV عن تقديم بطاقات البث القصيرة الأجل. تم رفض الطلب الأولي للشركة لوقف هذه البطاقات، مما سمح لـ Sling TV بمواصلة عروضها الترويجية.

El intento de Disney de detener a Sling TV de ofrecer pases de streaming a corto plazo ha fracasado. La solicitud inicial de la compañía para detener estos pases fue denegada, permitiendo a Sling TV continuar con sus ofertas promocionales.

La tentative de Disney d'arrêter Sling TV de proposer des passes de streaming à court terme a échoué. La demande initiale de l'entreprise pour interrompre ces passes a été rejetée, permettant à Sling TV de poursuivre ses offres promotionnelles.

Disney's attempt to stop Sling TV from offering short-term streaming passes has been unsuccessful. The company's initial bid to halt these passes was denied, allowing Sling TV to continue its promotional offerings.

Disney fails in initial bid to halt Sling TV's short-term streaming passes

Oracle&#8217;s $300B OpenAI bet has wiped $315B off its market value. Investors question the debt-fueled strategy as the company bets everything on one risky customer. When Oracle announced its $300 billion partnership with OpenAI in September, Wall Street threw a party. The stock surged 36%- Oracle&#8217;s best day since 1992. Four months later, the market &#8230; <a href="https://ciente.io/news/oracles-shares-are-collapsing-nearly-lost-315-billion-in-market-value-since-openai-deal/" class="more-link">Read More "Oracle&#8217;s Shares Are Collapsing, Nearly Lost $315 Billion in Market Value Since OpenAI Deal."</a>

أدت شراكة أوراكل مع OpenAI، التي تقدر قيمتها بـ 300 مليار دولار، إلى خسارة مذهلة بلغت 315 مليار دولار في القيمة السوقية. في البداية، احتفل المستثمرون بهذه الصفقة، لكن سرعان ما أثارت مخاوف بشأن اعتماد أوراكل الكبير على عميل واحد واستراتيجيتها المدفوعة بالديون. ارتفعت الأسهم بنسبة 36% عند الإعلان، لكنها شهدت منذ ذلك الحين انخفاضات كبيرة، مما دفع المستثمرين إلى التساؤل عن استدامة مثل هذا الاستثمار عالي المخاطر.

La asociación de Oracle con OpenAI, valorada en 300 mil millones de dólares, ha resultado en una pérdida asombrosa de 315 mil millones de dólares en valor de mercado. Inicialmente celebrada por los inversores, el acuerdo ha suscitado preocupaciones sobre la fuerte dependencia de Oracle de un solo cliente y su estrategia impulsada por la deuda. La acción, que aumentó un 36% tras el anuncio, ha enfrentado desde entonces caídas significativas, lo que lleva a los inversores a cuestionar la sostenibilidad de una inversión tan arriesgada.

Le partenariat d'Oracle avec OpenAI, évalué à 300 milliards de dollars, a entraîné une perte stupéfiante de 315 milliards de dollars en valeur boursière. Initialement célébré par les investisseurs, cet accord soulève des inquiétudes quant à la forte dépendance d'Oracle à un seul client et à sa stratégie d'endettement. L'action, qui a bondi de 36 % lors de l'annonce, a depuis connu des baisses significatives, incitant les investisseurs à remettre en question la viabilité d'un tel investissement à haut risque.

Oracle's partnership with OpenAI, valued at $300 billion, has resulted in a staggering loss of $315 billion in market value. Initially celebrated by investors, the deal has raised concerns about Oracle's heavy reliance on a single customer and its debt-driven strategy. The stock, which surged 36% upon announcement, has since faced significant declines, prompting investors to question the sustainability of such a high-stakes investment.

Oracle’s Shares Are Collapsing, Nearly Lost $315 Billion in Market Value Since OpenAI Deal.

تخطط شركة AMD للكشف عن تقنية تحسين الصور Redstone في العاشر من ديسمبر، وفقًا لما ذكرته Engadget. من المتوقع أن تعرض هذه العرض التقديمي القادم تقدمًا في تحسين جودة الصورة، مما قد يكون له تأثيرات كبيرة على أداء الألعاب والرسوميات.

AMD presentará su tecnología de escalado Redstone el 10 de diciembre, según Engadget. Esta próxima demostración se anticipa que mostrará avances en la mejora de la calidad de imagen, lo que podría tener implicaciones significativas para el rendimiento en juegos y gráficos.

AMD prévoit de présenter sa technologie d'upscaling Redstone le 10 décembre, selon Engadget. Cette démonstration à venir devrait mettre en avant des avancées dans l'amélioration de la qualité d'image, ce qui pourrait avoir des implications significatives pour les performances de jeu et de graphisme.

AMD is set to preview its Redstone upscaling technology on December 10, as reported by Engadget. This upcoming demonstration is anticipated to showcase advancements in image quality enhancement, which could have significant implications for gaming and graphics performance.

AMD will preview its Redstone upscaling tech on December 10

Akira claims LG Energy Solution breach, and says it stole 1.7TB of sensitive data.

زعمت مجموعة أكيرا مسؤوليتها عن هجوم فدية على شركة LG Energy Solution، مدعية أنها سرقت 1.7 تيرابايت من البيانات الحساسة من الشركة. تثير هذه الخرق مخاوف بشأن أمان البيانات وتأثيرها المحتمل على عمليات LG.

Akira ha reclamado la responsabilidad de un ataque de ransomware a LG Energy Solution, alegando que ha robado 1.7TB de datos sensibles de la empresa. Esta violación plantea preocupaciones sobre la seguridad de los datos y el impacto potencial en las operaciones de LG.

Akira a revendiqué une attaque par ransomware contre LG Energy Solution, affirmant avoir volé 1,7 To de données sensibles de l'entreprise. Cette violation soulève des inquiétudes concernant la sécurité des données et l'impact potentiel sur les opérations de LG.

Akira has claimed responsibility for a ransomware attack on LG Energy Solution, alleging that it has stolen 1.7TB of sensitive data from the company. This breach raises concerns about data security and the potential impact on LG's operations.

Ransomware attack hits LG battery subsidiary

<img src="https://spectrum.ieee.org/media-library/a-black-pancake-shaped-motor-is-shown-as-an-inset-to-a-photograph-of-a-sleek-orange-racing-sedan.jpg?id=62210215&width=1200&height=800&coordinates=168%2C0%2C169%2C0"/> Tesla was first to patent a primitive axial-flux electric motor—<a href="https://ncesr.unl.edu/wordpress/wp-content/uploads/2010/08/105-Patterson-article-Axial-Flux.pdf" rel="noopener noreferrer" target="_blank">Nikola Tesla,</a> that is, way back in 1889. It would be 126 years before the concept found its way to a car, the 1,500-horsepower (1,103 kilowatt), US $1.9 million, Koenigsegg Regera hybrid, in 2015. Even today, nearly all the world’s EVs and hybrids rely on relatively inefficient, easy-to-manufacture <a href="https://ieeexplore.ieee.org/document/955750" target="_blank">radial-flux motors.</a>Yet the latest electrified revolution is underway,<a href="https://yasa.com/" target="_blank"> led by YASA. </a>Founded in the U.K. by <a href="https://www.linkedin.com/in/tim-woolmer-01a03719/?originalSubdomain=uk" target="_blank">Tim Woolmer</a> in 2009, a spin-off from his Oxford PhD project, the company’s pioneering axial-flux motors are powering hybrid supercars from a Who’s Who of makers: Ferrari, Lamborghini, McLaren and Koenigsegg. Those include the <a href="https://elitetraveler.com/cars-jets-and-yachts/cars/ferrari-296-speciale" target="_blank">Ferrari 296 Speciale </a>and Lamborghini Temerario that I recently drove in Italy.Boosted by these power-dense electric machines, these racy Italians carved up roads in Emilia-Romagna like hunks of prosciutto di Parma. The Temerario’s gasoline V-8 revs to a <a href="https://www.lamborghini.com/en-en/news/lamborghini-temerario-a-mechanical-masterpiece" target="_blank">stratospheric 10,000 rpm</a>, higher than any production supercar. Still not enough: The Temerario also integrates three YASA motors. A pair on the front axle deliver all-wheel-drive traction and a peak 294 horsepower (216 kilowatts). A total of 907 hybrid horsepower (667 kilowatts) sends the Temerario to a blistering 343 kph (213 mph) top speed. The electric motors ably fill any gaps in gasoline acceleration and finesse the handling with torque-vectoring , the electrified front wheels helping to catapult the Lamborghini out of corners with ridiculous ease.With their compact design and superior power-to-weight ratio, these motors are setting records on land, sea and air. The <a href="https://www.rolls-royce.com/media/press-releases/2022/20-01-2022-the-spirit-of-innovation-officially-breaks-speed-record.aspx" target="_blank">world’s fastest electric plane</a>, the Rolls-Royce Spirit of Innovation, integrated three YASA motors for its propeller, sending it to a record 559.9 kph (345.4 mph) top speed. Applying tech from its Formula E racing program, Jaguar used YASA motors to set a <a href="https://www.boatinternational.com/yachts/news/jaguar-vector-racing-breaks-maritime-electric-speed-record--37283" target="_blank">maritime electric speed</a> record of 142.6 kph (88 mph) in England’s Lake District in 2018 (that record has since been broken).<h2>Claimed Power Density is Three Times Tesla’s Best</h2>In August, YASA’s motors helped the Mercedes-AMG GT XX prototype set <a href="https://www.caranddriver.com/news/a65889576/mercedes-concept-amg-gt-xx-ev-records/" target="_blank">dozens of EV endurance records</a>. Cruising around Italy’s Nardo circuit at a sustained 186 mph (300 kph), the roughly 1,000-kilowatt (1,360 horsepower) Mercedes EV drove about 5,300 kilometers per day. In 7.5 days, it traveled 40,075 kilometers (24,902 miles), the exact equivalent of the earth’s circumference. That time included stops for charging, at 850 kilowatts. <img alt="A race car driver stands next to an orange racing sedan as a team readies it for action." class="rm-shortcode" data-rm-shortcode-id="67c719e69a8a22c015318f7ced50ac28" data-rm-shortcode-name="rebelmouse-image" id="edb3d" loading="lazy" src="https://spectrum.ieee.org/media-library/a-race-car-driver-stands-next-to-an-orange-racing-sedan-as-a-team-readies-it-for-action.jpg?id=62210212&width=980"/> Mercedes F1 driver George Russell stands next to a Mercedes AMG GT XX during its record-setting endurance run this past August. Powered by three YASA axial-flux motors, the concept EV drove the equivalent of the earth’s circumference in 7.5 days, at a near-steady 300 kph. A production version of the car could be a competitor for the Porsche Taycan. Mercedes-BenzMercedes bought YASA outright in 2021. Daimler, Mercedes’ corporate parent, is <a href="https://www.autonews.com/automakers/daimler-produce-first-house-electric-motor-berlin-plant/" target="_blank">retrofitting a factory in Berlin</a> to build up to 100,000 YASA motors a year, for the next logical step: The motors will power mass-produced EVs for the first time, specifically from AMG, Mercedes’ formidable high-performance division.The company recently unveiled its latest motor, and its stats are eye-opening: The axial-flux prototype generates a peak 750 kilowatts, or 1,005 horsepower, as tested on a dynamometer. The motor can output a continuous 350-400 kilowatts (469-536 horsepower). Yet the unit weighs just 12.7 kilograms (27.9 pounds). Woolmer says the resulting power density of 59 kilowatts per kilogram is an unofficial world record for an electric motor, and about three times that of leading radial-flux designs, including Tesla’s.<h3></h3> <div class="rblad-ieee_in_content"></div>“And this isn’t a concept on a screen — it’s running, right now, on the dynos,” Woolmer says. “We’ve built an electric motor that’s significantly more power-dense than anything before it, all with scalable materials and processes.”<a href="https://www.linkedin.com/in/simonodling/?originalSubdomain=uk" target="_blank">Simon Odling</a>, YASA’s chief of new technology, walks me through the tech. Conventional, radial-flux motors are shaped like a sausage roll. A spinning rotor is housed within a stationary stator. The lines of magnetic flux are oriented radially, perpendicular to the motor’s central shaft. These flux lines represent the interacting magnetic fields of the permanent magnets in the rotor and electromagnets in the stator. It is that interaction that provides torque.An <a href="https://spectrum.ieee.org/axial-flux-motor" target="_blank">axial flux design</a> is more like a pancake. In YASA’s configuration, a pair of much-larger rotors are positioned on either side of the stator, and, notably, all three have roughly the same diameter. Magnetic flux is oriented axially, parallel to the shaft. Because torque is proportional to the rotor diameter squared, an <a href="https://spectrum.ieee.org/axial-flux" target="_blank">axial-flux</a> design can generate substantially more torque than a comparable radial-flux unit. The dual permanent-magnetic rotors double the key torque-generating components, and ensure a short magnetic path, which enhances efficiency by reducing losses in the magnetic field. <img alt="A man with a beard, mustache, and eyeglasses holds a round, flat motor about the size of Frisbee disc in front of his torso." class="rm-shortcode" data-rm-shortcode-id="5de2b25f26aa6e42dfd71af178bf1ef1" data-rm-shortcode-name="rebelmouse-image" id="d5fea" loading="lazy" src="https://spectrum.ieee.org/media-library/a-man-with-a-beard-mustache-and-eyeglasses-holds-a-round-flat-motor-about-the-size-of-frisbee-disc-in-front-of-his-torso.jpg?id=62210213&width=980"/> YASA R&D Engineer Eddie Martin holds 12.7 kg axial-flux motor that cranks out 750 kilowatts/1,005 horsepower.YASAOdling says the company’s motors are about one-third the mass and length of a comparable radial-flux machine, with intriguing upsides for vehicle packaging and weight savings. “The motor sits between an engine and gearbox really nicely in a hybrid application, or it makes for a very compact drive unit in an EV,” Odling says. The configuration is also ideal for <a href="https://spectrum.ieee.org/hub-motor" target="_blank">in-wheel motors</a>, because the flat shape fits easily within the width of car and even <a href="https://spectrum.ieee.org/chinese-motorcycles" target="_blank">motorcycle</a> wheels.YASA also touts the weight savings. Cascading gains in vehicle architecture could eliminate at least 200 kilograms from today’s EVs, the company says, about half from the motors themselves, the rest from smaller batteries, brakes, and lighter-weight supporting structures.<h2>YASA’s Secret Sauce is a Soft Magnetic Composite</h2>The company’s name offers another clue to its technical edge: YASA stands for “Yokeless and Segmented Architecture.” The motors remove a heavy iron or steel yoke, the structural and magnetic backbone for the copper coils in a conventional stator. Instead, they use a <a href="https://mppinnovation.com/what-are-soft-magnetic-composites/" target="_blank">Soft Magnetic Composite</a> (SMC)—a material that has very high magnetic permeability. That characteristic means the material is a very effective conductor of magnetic flux, so it can be used to concentrate and direct the field in the motor. In a typical application, the stator’s coils are wrapped around structures made of SMC.Woolmer began studying SMCs in the mid 2000s before there were potential paying customers for his nascent motor designs: The first Tesla Roadster didn’t hit the road until 2008, and suppliers and tooling for these motors didn’t exist then. Woolmer’s early axial-flux designs finally made their way into the Jaguar C-X75 in 2010, a concept that was cancelled prior to production. By 2019, Ferrari was integrating one of Woolmer’s motors in its first hybrid, the SF90.<a href="https://yasa.com/about/#:~:text=Over%20the%20decades%20that%20followed,of%20the%20axial%20flux%20machine." target="_blank">SMC became a key innovation</a>, because axial-flux motors couldn’t be manufactured with the stacked-steel laminations of radial-flux machines. Woolmer segmented the stator into individual “pole pieces” made from SMC, which can be formed under pressure into a huge variety of 3D shapes. That flexibility greatly reduces weight and eddy-current losses, and lessens the cooling burden. Where a conventional motor might have 30 kilograms of iron, a comparable YASA design would need only 5 kilograms to generate the same power and torque.YASA’s stators also integrate flat copper windings with direct oil cooling, Odling says, with no “buried copper” that the oil can’t reach. That greatly improves thermal performance and recovery in stressful conditions, a potential boon for high-performance EVs.YASA designs and develops its motors at its Oxford Innovation Center. In May, it opened a new axial-motor “super factory” in nearby Yarnton, with capacity for more than 25,000 motors each year. The company also credits the <a href="https://www.apcuk.co.uk/" target="_blank">British Advanced Propulsion Center </a>(APC) as a linchpin of its expansion. The collaboration between the U.K. government, industry and academia looks to accelerate homegrown development of zero-emissions transportation to meet Net Zero targets.YASA intends to release more specifics on its latest prototype motor in December. But company executives say the motor is ready for customers, with no exotic materials or manufacturing techniques required.

قدمت تسلا براءة اختراع لمحرك كهربائي من نوع المحور المحوري في عام 1889، لكن لم يتم تطبيق هذه التكنولوجيا في سيارة حتى عام 2015 مع سيارة كوينجسيج ريجيرا الهجينة. لا تزال معظم السيارات الكهربائية تعتمد على محركات من نوع المحور الشعاعي الأقل كفاءة. تقود شركة ياسا أحدث التطورات في تكنولوجيا المحور المحوري، مما قد يحدث ثورة في سوق السيارات الكهربائية.

Tesla patentó un motor eléctrico axial-flux en 1889, pero no fue hasta 2015 que esta tecnología se aplicó en el superdeportivo híbrido Koenigsegg Regera. La mayoría de los vehículos eléctricos todavía utilizan motores radial-flux menos eficientes. Los últimos avances en tecnología axial-flux están liderados por YASA, que está a punto de revolucionar el mercado de vehículos eléctricos.

Tesla a déposé un brevet pour un moteur électrique axial-flux en 1889, mais ce n'est qu'en 2015 que cette technologie a été appliquée dans la supercar hybride Koenigsegg Regera. La plupart des véhicules électriques utilisent encore des moteurs radial-flux moins efficaces. Les dernières avancées en matière de technologie axial-flux sont menées par YASA, qui est sur le point de révolutionner le marché des véhicules électriques.

Tesla patented an early version of the axial-flux electric motor in 1889, but it wasn't until 2015 that the technology was applied in the Koenigsegg Regera hybrid supercar. Most electric vehicles still use less efficient radial-flux motors. The latest advancements in axial-flux technology are being led by YASA, which is set to revolutionize the electric vehicle market.

A New Axial-Flux Motor Becomes a Supercar Staple

<img src="https://spectrum.ieee.org/media-library/pny-logo.png?id=62213230&width=980"/> As artificial intelligence reshapes every industry, universities face a critical choice: lead the transformation or risk falling behind. The institutions that integrate AI across disciplines, invest in computing infrastructure, and conduct groundbreaking research will become destinations for top students, faculty, and research funding.This industry brief provides a practical roadmap for building a comprehensive AI strategy that drives enrollment, attracts research dollars, and delivers career-ready graduates.<a href="https://content.knowledgehub.wiley.com/the-roadmap-to-becoming-an-ai-university-industry-brief/" target="_blank">Download this free whitepaper now!</a>

بينما تعيد الذكاء الاصطناعي تشكيل الصناعات، يجب على الجامعات التكيف أو المخاطرة بالركود. المؤسسات التي تدمج الذكاء الاصطناعي عبر التخصصات، تستثمر في البنية التحتية الحاسوبية، وتقوم بإجراء أبحاث رائدة ستصبح وجهات للطلاب المتميزين وأعضاء هيئة التدريس وتمويل الأبحاث. يقدم هذا التقرير الصناعي خارطة طريق عملية لبناء استراتيجية شاملة للذكاء الاصطناعي تعزز التسجيل وتجذب الأموال البحثية وتخرج خريجين جاهزين للعمل.

A medida que la inteligencia artificial transforma las industrias, las universidades deben adaptarse o arriesgarse a quedar obsoletas. Las instituciones que integren la IA en diversas disciplinas, mejoren su infraestructura informática y realicen investigaciones innovadoras atraerán a los mejores talentos y financiamiento. Este informe de la industria proporciona un marco estratégico para desarrollar una estrategia integral de IA que aumente la matrícula y prepare a los graduados para las carreras futuras.

Alors que l'intelligence artificielle transforme les secteurs, les universités doivent s'adapter ou risquer l'obsolescence. Les établissements qui adoptent l'IA dans divers domaines, améliorent leur infrastructure informatique et s'engagent dans une recherche innovante attireront les meilleurs talents et financements. Ce document de l'industrie présente un cadre stratégique pour développer une stratégie IA complète qui augmente les inscriptions et prépare les diplômés aux carrières futures.

As artificial intelligence transforms industries, universities must adapt or risk obsolescence. Institutions that embrace AI across various fields, enhance their computing infrastructure, and engage in innovative research will attract top talent and funding. This industry brief outlines a strategic framework for developing a comprehensive AI strategy that boosts enrollment and prepares graduates for future careers.

Keys to Building an AI University: A Framework from NVIDIA

<img src="https://spectrum.ieee.org/media-library/a-silver-and-black-bipedal-humanoid-uses-its-five-fingered-hands-to-gray-towels-a-towel-to-be-folded-sits-on-one-side-and-on-t.gif?id=62207438&width=1200&height=800&coordinates=34%2C0%2C35%2C0"/> It seems like every week there’s a new video of a robot folding clothes. We’ve had some fantastic demonstrations, like <a href="https://x.com/weaverobotics/status/1954951502671515897" rel="noopener noreferrer" target="_blank">this semi-autonomous video from Weave Robotics on X</a>.It’s awesome stuff, but Weave is far from the only company producing these kinds of videos. <a href="https://x.com/Figure_robot/status/1955290971660251220" rel="noopener noreferrer" target="_blank">Figure 02 is folding clothes</a>. <a href="https://youtu.be/Eu5mYMavctM?t=292" rel="noopener noreferrer" target="_blank">Figure 03 is folding clothes</a>. <a href="https://www.physicalintelligence.company/" rel="noopener noreferrer" target="_blank">Physical Intelligence</a> launched their flagship vision-language-action model, pi0, with an <a href="https://www.physicalintelligence.company/blog/pi0" rel="noopener noreferrer" target="_blank">amazing video of a robot folding clothes</a> after unloading a laundry machine. You can see robots folding clothes <a href="https://x.com/MeRTcooking/status/1955551828038541662" rel="noopener noreferrer" target="_blank">live at robotics expos</a>. Even before all this, Google showed clothes folding in their work, <a href="https://aloha-unleashed.github.io/" rel="noopener noreferrer" target="_blank">ALOHA unleashed</a>. <a href="https://7xr.tech/" rel="noopener noreferrer" target="_blank">7X Tech</a> is even planning to sell robots to fold clothes!And besides folding actual clothes, there are other clothes-folding-like tasks, like Dyna’s <a href="https://x.com/DynaRobotics/status/1940443709621109186" rel="noopener noreferrer" target="_blank">napkin folding</a>— which leads to what is probably my top <a href="https://www.dyna.co/dyna-1/research" rel="noopener noreferrer" target="_blank">robot video of the year</a>, demonstrating 18 hours of continuous napkin folding. So why are all of these robotic manipulation companies suddenly into folding?<h2> Reason 1: We basically couldn’t do this before</h2>There’s work <a href="https://ieeexplore.ieee.org/document/6095109" rel="noopener noreferrer" target="_blank">going back over a decade</a> that shows some amount of robotic clothes folding. But these demonstrations were extremely brittle, extremely slow, and not even remotely production ready. Previous solutions existed (even learning based solutions!) but they relied on precise camera calibration, or on carefully hand-designed features, meaning that these clothes folding demos generally worked only on one robot, in one environment, and may have only ever worked a single time—just enough for the recording of a demo video or paper submission. <img alt="A series of 6 stills show an older humanoid robot called a PR2 making efforts to fold a tshirt." class="rm-shortcode" data-rm-shortcode-id="df977f3438add52ecf94a199adad813e" data-rm-shortcode-name="rebelmouse-image" id="e3ffa" loading="lazy" src="https://spectrum.ieee.org/media-library/a-series-of-6-stills-show-an-older-humanoid-robot-called-a-pr2-making-efforts-to-fold-a-tshirt.jpg?id=62207442&width=980"/> With a little bit of help from a creatively patterned shirt, PR2 was folding things back in 2014.<a href="https://ieeexplore.ieee.org/document/6095109" target="_blank">Bosch/IEEE</a>Take a look at <a href="https://spectrum.ieee.org/pr2-close-to-completing-laundry-cycle" target="_self">this example</a> of UC Berkeley’s PR2 <a href="https://spectrum.ieee.org/is-there-a-future-for-laundry-folding-robots" target="_blank">folding laundry</a> from 2014. This robot is, in fact, using a neural network policy. But that policy is very small and brittle; it picks and places objects against the same green background, moves very slowly, and can’t handle a wide range of shirts. Making this work in practice would require larger models, pretrained on web-scale data, and better, more general techniques for imitation learning.And so 10 years later, with the appropriate demonstration data, many different startups and research labs have been able to implement clothes-folding demos; it’s something we have seen from numerous hobbyists and startups, using broadly similar tools (like <a href="https://github.com/huggingface/lerobot" target="_blank">LeRobot from HuggingFace</a>), without intense specialization.<h2>Reason 2: It looks great and people want it!</h2>Many of us who work in robotics have this ‘north star’ of a robot butler which can do all the chores we don’t want to do. Mention clothes folding, and many, many people will chime in about how they don’t ever want to fold clothes again and are ready to part with basically any amount of money to make that happen. This is important for the companies involved as well. Companies like Figure and 1x have been raising large amounts of money predicated on the idea that they will be able to automate many different jobs, but increasingly these companies seem to want to start in the home. <img alt="A robotic system with two robot arms with grippers on the end work in tandem to fold a white towel." class="rm-shortcode" data-rm-shortcode-id="cd5b2feb8710da8d7609ed0da904923d" data-rm-shortcode-name="rebelmouse-image" id="86960" loading="lazy" src="https://spectrum.ieee.org/media-library/a-robotic-system-with-two-robot-arms-with-grippers-on-the-end-work-in-tandem-to-fold-a-white-towel.gif?id=62207449&width=980"/> Dyna Robotics can fold an indefinite number of napkins indefinitely.Dyna RoboticsAnd that’s part of the magic of these demos. While they’re slow, and imperfect, everyone can start to envision how this technology becomes the thing that we all want: a robot that can exist in our house and mitigate all those everyday annoyances that take up our time.<h2>Reason 3: It avoids what robots are still bad at</h2>These robot behaviors are produced by models trained via imitation learning. Modern imitation learning methods like <a href="https://diffusion-policy.cs.columbia.edu/" target="_blank">Diffusion Policy</a> use techniques inspired by generative AI to produce complex, dexterous robot trajectories, based on examples of expert human behavior that’s been provided to them—and they often need many, many trajectories. The work <a href="https://aloha-unleashed.github.io/" target="_blank">ALOHA Unleashed</a> by Google is a great example, needing about 6,000 demonstrations to learn how to, for example, tie a pair of shoelaces. For each of these demonstrations, a human piloted a pair of robot arms while performing the task; all of this data was then used to train a policy.We need to keep in mind what’s hard about these demonstrations. Human demonstrations are never perfect, nor are they perfectly consistent; for example, two human demonstrators will never grab the exact same part of an object with sub-millimeter precision. That’s potentially a problem if you want to screw a cover in place on top of a machine you’re building, but it’s not a problem at all for folding clothes, which is fairly forgiving. This has two knock-on effects:<ul><li>It’s easier to collect the demonstrations you need for folding clothes, as you don’t need to throw out every training demonstration that’s a millimeter out of spec.</li><li>You can use cheaper, less repeatable hardware to accomplish the same task, which is useful if you suddenly need a fleet of robots collecting thousands of demos, or if you’re a small team with limited funding!</li></ul>For similar reasons, it’s great that with cloth folding, you can fix your cameras in just the right position. When learning a new skill, you need training examples with “coverage” of the space of environments you expect to see at deployment time. So the more control you have, the more efficient the learning process will be—the less data you’ll need, and the easier it will be to get a flashy demo. Keep this in mind when you see a robot folding things on a plain tabletop or with an extremely clean background; that’s not just nice framing, it helps the robot out a lot!And since we’ve committed to collecting a ton of data—dozens of hours—to get this task working well, mistakes will be made. It’s very useful, then, if it’s easy to reset the task, i.e. restore it to a state from which you can try the task again. If something goes wrong folding clothes, it’s fine. Simply pick the cloth up, drop it, and it’s ready for you to start over. This wouldn’t work if, say, you were stacking glasses to put away in a cupboard, since if you knock over the stack or drop one on the floor, you’re in trouble.Clothes folding also avoids making forceful contact with the environment. Once you’re exerting a lot of pressure, things can break, the task can become non-resettable, and demonstrations are often much harder to collect because forces aren’t as easily observable to the policy. And every piece of variation (like the amount of force you’re exerting) will end up requiring more data so the model has “coverage” of the space it’s expected to operate in.<h2>What To Look Forward To</h2>While we’re seeing a lot of clothes-folding demos now, I still feel, broadly, quite impressed with many of them. As mentioned above, Dyna was one of my favorite demos this year, mostly because longer-running robot policies have been so rare until now. But they were able to demonstrate zero-shot folding (meaning folding without additional training data) at a couple of different conferences, including <a href="https://actuate.foxglove.dev/" target="_blank">Actuate in San Francisco</a> and the <a href="https://www.corl.org/" target="_blank">Conference on Robot Learning (CoRL)</a> in Seoul. This is impressive and actually very rare in robotics, even now.In the future, we should hope to see robots that can handle more challenging and dynamic interactions with their environments: moving more quickly, moving heavier objects, and climbing or otherwise handling adverse terrain while performing manipulation tasks.But for now, remember that modern learning methods will come with their own strengths and weaknesses. It seems that, while not easy, clothes folding is the kind of task that’s just really well suited for what our models can do right now. So expect to see a lot more of it.

تزداد عروض الروبوتات التي تطوي الملابس، حيث تعرض العديد من الشركات قدراتها. تشمل الأمثلة البارزة Weave Robotics وFigure 02 وFigure 03، التي شاركت جميعها مقاطع فيديو لروبوتاتها وهي تتعامل بكفاءة مع مهام الغسيل. تبرز هذه الاتجاهات التقدم في تكنولوجيا الروبوتات والأتمتة.

Los robots están siendo cada vez más presentados plegando ropa, con varias empresas demostrando sus capacidades. Ejemplos notables incluyen a Weave Robotics, Figure 02 y Figure 03, que han compartido videos de sus robots manejando tareas de lavandería de manera eficiente. Esta tendencia destaca los avances en la tecnología de robótica y automatización.

Les robots sont de plus en plus présentés en train de plier des vêtements, avec plusieurs entreprises démontrant leurs capacités. Des exemples notables incluent Weave Robotics, Figure 02 et Figure 03, qui ont toutes partagé des vidéos de leurs robots s'occupant efficacement des tâches de lessive. Cette tendance met en lumière les avancées dans la technologie de la robotique et de l'automatisation.

Robots are increasingly being showcased folding clothes, with various companies demonstrating their capabilities. Notable examples include Weave Robotics, Figure 02, and Figure 03, all of which have shared videos of their robots efficiently handling laundry tasks. This trend highlights advancements in robotics and automation technology.

Be a Force for Good On Giving Tuesday

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