Google unveils Ironwood, its most powerful TPU, for the age of inference, and Axion Arm VMs promising up to 2× better price-performance for AI workloads.
The post <a href="https://www.techrepublic.com/article/news-google-ironwood-most-powerful-ai-chip/">Google Unveils Ironwood, Its ‘Most Powerful’ and ‘Energy-Efficient’ AI Chip to Date</a> appeared first on <a href="https://www.techrepublic.com">TechRepublic</a>.

أعلنت جوجل عن Ironwood، شريحة الذكاء الاصطناعي الأكثر قوة وكفاءة في استهلاك الطاقة حتى الآن، المصممة لأعباء العمل المتقدمة في الذكاء الاصطناعي. تعد هذه الشريحة الجديدة بتحسينات كبيرة في الأداء، حيث تقدم ضعف نسبة السعر إلى الأداء مقارنة بالنماذج السابقة، مما يمثل خطوة مهمة إلى الأمام في تكنولوجيا الذكاء الاصطناعي.

Google ha presentado Ironwood, su chip de IA más potente y eficiente en energía hasta la fecha, diseñado para cargas de trabajo de IA avanzadas. Este nuevo TPU promete mejoras significativas en el rendimiento, ofreciendo hasta el doble de relación calidad-precio en comparación con modelos anteriores, marcando un avance importante en la tecnología de IA.

Google a dévoilé Ironwood, sa puce AI la plus puissante et économe en énergie à ce jour, conçue pour des charges de travail AI avancées. Ce nouveau TPU promet des améliorations de performance significatives, offrant jusqu'à deux fois le rapport qualité-prix par rapport aux modèles précédents, marquant une avancée importante dans la technologie AI.

Google has unveiled Ironwood, its most powerful and energy-efficient AI chip to date, designed for advanced AI workloads. This new TPU promises significant performance improvements, offering up to twice the price-performance ratio compared to previous models, marking a significant step forward in AI technology.

Google Unveils Ironwood, Its ‘Most Powerful’ and ‘Energy-Efficient’ AI Chip to Date

<A HREF="https://fortune.com/2025/11/19/exclusive-doppel-raises-70-million-series-c-at-more-than-600-million-valuation-to-fight-ai-powered-social-engineering-attacks/"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251119/i39.jpg"></A>
<A HREF="http://www.techmeme.com/251119/p39#a251119p39" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Allie Garfinkle / <A HREF="http://www.fortune.com/">Fortune</A>: 
<A HREF="https://fortune.com/2025/11/19/exclusive-doppel-raises-70-million-series-c-at-more-than-600-million-valuation-to-fight-ai-powered-social-engineering-attacks/">Doppel, which makes an AI social engineering detection service, raised a $70M Series C led by Bessemer at a $600M+ valuation, up from $205M in May</A>&nbsp; &mdash;&nbsp; Senior Finance Reporter And Author Of Term Sheet&nbsp; &mdash;&nbsp; I tried to fool my brother, sort of.&nbsp; &mdash;&nbsp; Next to him and his Pekingese on the couch &hellip;

دوبل، وهي شركة متخصصة في خدمات الكشف عن الهندسة الاجتماعية باستخدام الذكاء الاصطناعي، نجحت في جمع 70 مليون دولار في جولة تمويل من السلسلة C بقيادة بيسمر. وقد زادت هذه الجولة من تقييم الشركة إلى أكثر من 600 مليون دولار، ارتفاعًا من 205 مليون دولار في مايو.

Doppel, una empresa que se especializa en servicios de detección de ingeniería social mediante IA, ha recaudado con éxito 70 millones de dólares en una ronda de financiación Serie C liderada por Bessemer. Esta ronda ha elevado la valoración de la empresa a más de 600 millones de dólares, un aumento significativo desde los 205 millones en mayo.

Doppel, une entreprise spécialisée dans les services de détection d'ingénierie sociale par IA, a levé avec succès 70 millions de dollars lors d'un tour de financement de série C dirigé par Bessemer. Ce tour de financement a porté la valorisation de l'entreprise à plus de 600 millions de dollars, contre 205 millions en mai.

Doppel, a company specializing in AI social engineering detection services, has successfully raised $70 million in a Series C funding round led by Bessemer. This funding round has increased the company's valuation to over $600 million, a significant rise from $205 million in May.

Doppel, which makes an AI social engineering detection service, raised a $70M Series C led by Bessemer at a $600M+ valuation, up from $205M in May (Allie Garfinkle/Fortune)

The service is customized for teachers' needs and includes added security and privacy, a collaborative workspace, and more.

OpenAI expands free educational offerings - here's what ChatGPT for Teachers can do

GPT-5.1-Codex-Max is ready to take on your next massive coding job. Here's what's new.

OpenAI's Codex Max solves one of my biggest AI coding annoyances - and adds dramatically faster performance

The agent offers one-click buying for all your holiday needs and will be free for all US-based users.

Perplexity's AI shopping tool is free for all now, just in time for Black Friday - how to use it

<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

If aesthetics and efficiency top your list of needs, there are several Linux distributions that are right up your alley. Both Ubuntu Budgie and Pop!_OS should top that list.

Ubuntu Budgie vs. Pop!_OS: I've used both Linux distros - here's how to choose

<h1>
 
 
 Sector HQ Weekly Digest - November 17, 2025
</h1>

Who's shipping vs who's just talking? Here's this week's AI industry intelligence.

<h2>
 
 
 🏆 Top 10 Companies
</h2>

<ol>
<li>
OpenAI - Score: 442385.7 | 343 events this week</li>
<li>
Anthropic - Score: 266113.1 | 51 events this week</li>
<li>
Amazon - Score: 135242.8 | 22 events this week</li>
<li>
Nvidia - Score: 128360.7 | 161 events this week</li>
<li>
Google - Score: 111135.8 | 125 events this week</li>
<li>
Microsoft - Score: 95559.7 | 99 events this week</li>
<li>
Meta - Score: 78015.6 | 61 events this week</li>
<li>
Apple - Score: 64936.3 | 94 events this week</li>
<li>
Tesla - Score: 41242.1 | 12 events this week</li>
<li>
AMD - Score: 40235.9 | 43 events this week</li>
</ol>

<h2>
 
 
 📈 Biggest Movers
</h2>

<ul>
<li>↑ Sony jumped 277 positions to #58</li>
<li>↑ Stability AI jumped 183 positions to #78</li>
<li>↑ Bytedance jumped 143 positions to #68</li>
<li>↑ Scale AI jumped 122 positions to #66</li>
<li>↑ Palantir jumped 107 positions to #17</li>
</ul>

<h2>
 
 
 🚨 Hype Gap Alerts
</h2>

No high hype alerts this week

<h2>
 
 
 📊 Key Insights
</h2>

<ul>
<li>Total companies tracked: 100</li>
<li>Total events this week: 1317</li>
<li>Average activity per company: 13.2 events</li>
</ul>

<h2>
 
 
 💡 What This Means
</h2>

The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector.

Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz.




Want real-time updates? Check out the live leaderboard at <a href="https://sectorhq.co" rel="noopener noreferrer">sectorhq.co</a>

Track specific companies and get instant alerts when they move in the rankings.

<h2>
 
 
 Tags
</h2>

<h1>
 
 
 AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard
</h1>

تسليط الضوء على أحدث التطورات في صناعة الذكاء الاصطناعي في نشرة قطاع HQ الأسبوعية بتاريخ 17 نوفمبر 2025، مع التركيز على أداء الشركات الرائدة. تتصدر OpenAI القائمة برصيد 442385.7 و343 حدثًا، تليها Anthropic وAmazon. كما يشير التقرير إلى تحركات كبيرة، حيث قفزت Sony 277 مركزًا في الترتيب، مما يعكس الطبيعة الديناميكية للقطاع.

El Digest semanal de Sector HQ del 17 de noviembre de 2025 destaca los últimos desarrollos en la industria de la IA, centrándose en el rendimiento de las principales empresas. OpenAI lidera con una puntuación de 442385.7 y 343 eventos, seguido de Anthropic y Amazon. El informe también señala movimientos significativos, con Sony saltando 277 posiciones en el ranking, reflejando la naturaleza dinámica del sector de la IA.

Le Digest hebdomadaire du Secteur HQ du 17 novembre 2025 met en lumière les derniers développements de l'industrie de l'IA, en se concentrant sur la performance des principales entreprises. OpenAI est en tête avec un score de 442385,7 et 343 événements, suivi d'Anthropic et d'Amazon. Le rapport note également des mouvements significatifs, Sony ayant grimpé de 277 positions dans le classement, reflétant la nature dynamique du secteur de l'IA.

The Sector HQ Weekly Digest for November 17, 2025, highlights the latest developments in the AI industry, focusing on the performance of top companies. OpenAI leads with a score of 442385.7 and 343 events, followed by Anthropic and Amazon. The report also notes significant movements, with Sony jumping 277 positions in the rankings, reflecting the dynamic nature of the AI sector.

Sector HQ Weekly Digest - November 17, 2025

Google has backtracked partially on its anti-third party app store policy. It will allow power users to install Android apps from alternative sources. The Mountain View company had recently announced a system [&#8230;]
Thank you for being a Ghacks reader. The post <a href="https://www.ghacks.net/2025/11/17/google-will-allow-experienced-users-to-install-apps-from-third-party-sources-on-android/" data-wpel-link="internal">Google will allow experienced users to install apps from third-party sources on Android</a> appeared first on <a href="https://www.ghacks.net" data-wpel-link="internal">gHacks Technology News</a>.

أعلنت شركة جوجل عن تراجع جزئي في سياستها ضد متاجر التطبيقات الخارجية، مما يسمح للمستخدمين ذوي الخبرة بتثبيت تطبيقات أندرويد من مصادر بديلة. يأتي هذا التغيير بعد أن حافظت الشركة على موقف صارم ضد مثل هذه الممارسات. تُعتبر هذه القرار تحولًا كبيرًا في نهج جوجل تجاه توزيع التطبيقات على منصتها أندرويد.

Google ha anunciado un cambio parcial en su política contra las tiendas de aplicaciones de terceros, permitiendo a los usuarios experimentados instalar aplicaciones de Android desde fuentes alternativas. Este cambio se produce después de que la compañía mantuviera una postura estricta contra tales prácticas. La decisión se considera un cambio significativo en el enfoque de Google hacia la distribución de aplicaciones en su plataforma Android.

Google a annoncé un revirement partiel de sa politique contre les magasins d'applications tiers, permettant aux utilisateurs expérimentés d'installer des applications Android à partir de sources alternatives. Ce changement survient après que l'entreprise ait maintenu une position stricte contre de telles pratiques. Cette décision est considérée comme un changement significatif dans l'approche de Google en matière de distribution d'applications sur sa plateforme Android.

Google has announced a partial reversal of its policy against third-party app stores, allowing experienced users to install Android apps from alternative sources. This change comes after the company had previously maintained a strict stance against such practices. The decision is seen as a significant shift in Google's approach to app distribution on its Android platform.

Google will allow experienced users to install apps from third-party sources on Android

<A HREF="https://www.theguardian.com/technology/2025/nov/16/google-deepmind-hurricane-forecast"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251116/i7.jpg"></A>
<A HREF="http://www.techmeme.com/251116/p7#a251116p7" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Eric Holthaus / <A HREF="http://www.theguardian.com/">The Guardian</A>: 
<A HREF="https://www.theguardian.com/technology/2025/nov/16/google-deepmind-hurricane-forecast">Forecasters at the US National Hurricane Center are increasingly leaning on Google's new DeepMind prediction model, though questions about its methods remain</A>&nbsp; &mdash;&nbsp; &lsquo;Less expensive and time consuming&rsquo; model helps with fast and accurate predictions, possibly saving lives and property

يستخدم المتنبئون في المركز الوطني للأعاصير في الولايات المتحدة بشكل متزايد نموذج التنبؤ الجديد من جوجل ديب مايند، المصمم لتقديم توقعات أسرع وأكثر دقة للأعاصير. على الرغم من مزاياه، لا تزال هناك أسئلة حول طرقه وموثوقيته. يُلاحظ أن النموذج أقل تكلفة ويستغرق وقتًا أقل، مما قد يساعد في إنقاذ الأرواح والممتلكات خلال أحداث الأعاصير.

Los pronosticadores del Centro Nacional de Huracanes de EE. UU. están utilizando cada vez más el nuevo modelo de predicción DeepMind de Google, diseñado para proporcionar pronósticos de huracanes más rápidos y precisos. A pesar de sus ventajas, persisten preguntas sobre los métodos y la fiabilidad del modelo. Se destaca que el modelo es menos costoso y requiere menos tiempo, lo que podría ayudar a salvar vidas y propiedades durante los eventos de huracanes.

Les prévisionnistes du Centre national des ouragans des États-Unis s'appuient de plus en plus sur le nouveau modèle de prévision DeepMind de Google, conçu pour fournir des prévisions d'ouragans plus rapides et plus précises. Malgré ses avantages, des questions subsistent concernant les méthodes et la fiabilité du modèle. Ce modèle est reconnu pour être moins coûteux et moins chronophage, ce qui pourrait aider à sauver des vies et des biens lors des événements d'ouragans.

Forecasters at the US National Hurricane Center are increasingly utilizing Google's new DeepMind prediction model, which is designed to provide faster and more accurate hurricane forecasts. Despite its advantages, questions regarding the model's methods and reliability persist. The model is noted for being less expensive and time-consuming, potentially aiding in saving lives and property during hurricane events.

Forecasters at the US National Hurricane Center are increasingly leaning on Google's new DeepMind prediction model, though questions about its methods remain (Eric Holthaus/The Guardian)

Multi-agent AI orchestration frameworks like Claude-Flow help teams modernize legacy applications faster by automating analysis, planning, testing, and cutover.
The post <a href="https://www.techrepublic.com/article/news-multi-agent-ai-claude-flow/">Inside Claude-Flow: Using Multi-Agent AI to Modernize Legacy Applications Faster</a> appeared first on <a href="https://www.techrepublic.com">TechRepublic</a>.

تساعد أطر تنسيق الذكاء الاصطناعي متعددة الوكلاء مثل Claude-Flow الفرق على تحديث التطبيقات القديمة بشكل أسرع من خلال أتمتة عمليات مثل التحليل والتخطيط والاختبار والانتقال.

Los marcos de orquestación de IA multiagente como Claude-Flow ayudan a los equipos a modernizar aplicaciones heredadas más rápidamente al automatizar procesos como análisis, planificación, pruebas y transición.

Les cadres d'orchestration d'IA multi-agents comme Claude-Flow aident les équipes à moderniser plus rapidement les applications héritées en automatisant des processus tels que l'analyse, la planification, les tests et la transition.

Multi-agent AI orchestration frameworks like Claude-Flow assist teams in modernizing legacy applications more efficiently by automating processes such as analysis, planning, testing, and cutover.

Inside Claude-Flow: Using Multi-Agent AI to Modernize Legacy Applications Faster

Microsoft, Nvidia, and Anthropic seal a multibillion-dollar AI pact, scaling Claude on Azure with Nvidia chips to bring frontier models to more enterprises.
The post <a href="https://www.techrepublic.com/article/news-microsoft-nvidia-anthropic-ai-infrastructure-alliance/">Microsoft, Nvidia, Anthropic Forge ‘Dream Come True’ AI Alliance</a> appeared first on <a href="https://www.techrepublic.com">TechRepublic</a>.

تعاونت مايكروسوفت ونيفيديا وأنتروبيك في شراكة بمليارات الدولارات لتعزيز قدرات الذكاء الاصطناعي. ستعمل هذه الشراكة على توسيع نموذج الذكاء الاصطناعي الخاص بأنتروبيك، كلود، على منصة أزور الخاصة بمايكروسوفت باستخدام شرائح نيفيديا، مما يجعل تقنيات الذكاء الاصطناعي المتقدمة أكثر وصولاً للشركات.

Microsoft, Nvidia y Anthropic han establecido una asociación multimillonaria para mejorar las capacidades de inteligencia artificial. Esta colaboración escalará el modelo de IA de Anthropic, Claude, en la plataforma Azure de Microsoft utilizando chips de Nvidia, haciendo que las tecnologías de IA avanzadas sean más accesibles para las empresas.

Microsoft, Nvidia et Anthropic ont conclu un partenariat de plusieurs milliards de dollars pour améliorer les capacités d'intelligence artificielle. Cette collaboration permettra de déployer le modèle d'IA d'Anthropic, Claude, sur la plateforme Azure de Microsoft en utilisant les puces de Nvidia, rendant les technologies d'IA avancées plus accessibles aux entreprises.

Microsoft, Nvidia, and Anthropic have entered into a multibillion-dollar partnership to enhance artificial intelligence capabilities. This collaboration will scale Anthropic's AI model, Claude, on Microsoft's Azure platform using Nvidia's chips, making advanced AI technologies more accessible to enterprises.

Microsoft, Nvidia, Anthropic Forge ‘Dream Come True’ AI Alliance

The collaboration will launch next week in a test phase, allowing consumers to tag Target in ChatGPT and describe what they are looking for.
The post <a href="https://www.techrepublic.com/article/news-target-openai-partnership/">Target Teams With OpenAI in Bid to Revitalize Sales</a> appeared first on <a href="https://www.techrepublic.com">TechRepublic</a>.

تتعاون شركة تارجت مع OpenAI لتحسين استراتيجيتها في المبيعات من خلال دمج ChatGPT في خدمة العملاء. ستسمح هذه الشراكة للمستهلكين بوسم تارجت في ChatGPT وتحديد احتياجاتهم الشرائية، بهدف تحسين تجربة المستخدم وزيادة المبيعات.

Target se asocia con OpenAI para mejorar su estrategia de ventas integrando ChatGPT en su servicio al cliente. Esta colaboración permitirá a los consumidores etiquetar a Target en ChatGPT y especificar sus necesidades de compra, con el objetivo de mejorar la experiencia del usuario y aumentar las ventas.

Target s'associe à OpenAI pour améliorer sa stratégie de vente en intégrant ChatGPT dans son service client. Cette collaboration permettra aux consommateurs de taguer Target dans ChatGPT et de spécifier leurs besoins d'achat, dans le but d'améliorer l'expérience utilisateur et de stimuler les ventes.

Target is partnering with OpenAI to enhance its sales strategy by integrating ChatGPT into its customer service. This collaboration will allow consumers to tag Target in ChatGPT and specify their shopping needs, aiming to improve user experience and drive sales.

Google Unveils Ironwood, Its ‘Most Powerful’ and ‘Energy-Efficient’ AI Chip to Date

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