AI News Archive: June 9, 2026 — Part 2
Sourced from 500+ daily AI sources, scored by relevance.
- West China Hospital Develops MicroSpine: A 2mm Robotic Arm System for Minimally Invasive Spinal Surgery
Sichuan University West China Hospital's MicroSpine surgical robot, featuring three 2mm robotic arms in an 8mm sheath, achieves posterior spinal target access with 100% accuracy in preclinical testing.
Score: 64🌐 MovesJun 9, 2026https://pandaily.com/microspine-robot-west-china-hospital-spinal-surgery-jun2026 - SpaceX unveils 11-million-square-foot Gigasat factory, a new manufacturing facility for space-based data centers — aims for 1 GW/year of space AI compute by late 2027 from its satellites
SpaceX's new Gigasat factory will mass-produce AI satellites for orbital data centers. Musk says the company is targeting 1 GW of space AI compute by 2027 and 100 GW per year by 2030.
- Claude Fable 5 review: what the new Mythos model gets right (and very wrong)
Watch now | 🎙️Early access to Claude Fable 5: what Anthropic claims, what I tested, and my honest take
- Democrats Want a Military AI Restriction Law Following Anthropic’s Pentagon Fallout
Three Democrats are pushing for bills that would ban fully autonomous weapons.
- Atos Group and Microsoft expand strategic collaboration to scale secure agentic AI across Atos Group workforce and clients
The post Atos Group and Microsoft expand strategic collaboration to scale secure agentic AI across Atos Group workforce and clients appeared first on Source .
- New leap for embodied AI: Hong Kong to launch 24-hour convenience store run entirely by a humanoid robot
Embodied AI is transforming various industries, including retail. A new store in Hong Kong will be operated by a humanoid robot, offering 24-hour service. This initiative follows successful implementations in factories and other sectors, showcasing AI's growing role in everyday life.
- WeChat Opens AI Agent Ecosystem for Food Orders and Flight Bookings
WeChat Opens AI Agent Ecosystem for Food Orders and Flight Bookings Caixin Global
- LG CNS adopts Anthropic's Claude across LG Group
LG CNS said Tuesday it has partnered with Anthropic to deploy Claude Enterprise across LG Group, as the IT services arm steps up efforts to accelerate artificial intelligence transformation. Claude is Anthropic's enterprise-focused AI model, known for its reasoning capabilities, security features and ability to handle long documents. The platform also supports AI-powered productivity tools, including AI agent development, coding assistance and integration with corporate systems. Under the agreem
- China is closing in on America’s AI advantage
China is closing in on America’s AI advantage
- OpenAI tests multi-advertiser ad placements in ChatGPT
OpenAI is testing multi-advertiser placements in ChatGPT while adding new targeting and campaign tools that expand its ad platform. The post OpenAI tests multi-advertiser ad placements in ChatGPT appeared first on MarTech .
Score: 62🌐 MovesJun 9, 2026https://martech.org/openai-tests-multi-advertiser-ad-placements-in-chatgpt/ - ‘Getting control where we can’: Europe wants sovereign AI, but most of the chips are from the U.S.
‘Getting control where we can’: Europe wants sovereign AI, but most of the chips are from the U.S. Fortune
- Apple and Brussels blame each other for delaying European Union rollout of Siri AI
Apple and the European Union are blaming each other for delaying the rollout of Apple's Siri AI app to European users
Score: 62🌐 MovesJun 9, 2026https://abcnews.com/Technology/wireStory/apple-brussels-blame-delaying-european-union-rollout-siri-133710648 - Last Month, Salesforce Announced It Hit $1.2 Billion in AI Revenue—Now It’s Laying Off Staff Tied to the Product
The cuts come less than two weeks after the company’s CEO said AI was helping Salesforce increase its engineering output—without adding engineers.
- Powered by Hivemind: Combat-Ready AI Piloted Helicopters
As part of the U.S. Marine Corps’ Aerial Logistics Connector (ALC) program that aims to provide logistics to distributed units in a contested environment, Shield AI, Airbus U.S. Space & Defense, L3Harris Technologies, and Parry Labs completed their fourth autonomous flight test period on the H145 helicopter. For the first time, the H145 flew with […]
Score: 61🌐 MovesJun 9, 2026https://shield.ai/powered-by-hivemind-combat-ready-ai-piloted-helicopters/ - Palo Alto Networks unveils AI-driven security platform designed for European compliance standards
All support personnel will be based in Europe. The platform initially targets healthcare, financial services, the public sector and critical infrastructure industries.
- Nine Things About Claude Mythos 5 That Matter If You’re Not an Enterprise Customer
Anthropic just released the most powerful model in the world
- Stellantis, Bolt, Pony.ai to launch autonomous vehicle test program in Luxembourg
Stellantis, Bolt, Pony.ai to launch autonomous vehicle test program in Luxembourg Automotive News
Score: 60🌐 MovesJun 9, 2026https://www.autonews.com/technology/mobility/ane-stellantis-bolt-pony-autonomous-luxembourg-0609/ - Anthropic's warning over AI self-improvement has a hidden message — accelerating development requires more compute before companies ever risk losing control of frontier AI models
The company that just a few weeks ago told us that its Mythos model was much too powerful to be released is now saying that we might need to hit the pause button.
- 'More than any other country in the world' - Ukraine wants to be the biggest drone and robot producer worldwide, outstripping China, Russia, and the US combined —Kyiv claims it could build more than 30 million units annually within years
Ukraine claims allied funding could help produce millions of military drones annually while expanding deep strike operations inside Russia.
- MIIT and SASAC Launch 2026 Humanoid Robot Real-Scene Training Initiative
China's MIIT and SASAC jointly launch a 2026 nationwide action plan to deploy humanoid robots in real-world industrial, service, and specialized scenarios, targeting thousand-unit deployments and over 100 high-value application scenarios.
Score: 59🌐 MovesJun 9, 2026https://pandaily.com/miit-sasac-humanoid-robot-real-scene-training-2026-jun2026 - Musk’s xAI, SpaceX hit with class action over data center ‘nuisance’
Musk’s xAI, SpaceX hit with class action over data center ‘nuisance’ Reuters
- In apparent first, Navy drone boat rescues helicopter crew downed at sea
The unmanned vessel, made by Texas-based Saronic, was sent to the region in March.
- EHR vendor notebook: Elsevier, athenahealth and PointClickCare ramp up agentic AI
EHR vendor notebook: Elsevier, athenahealth and PointClickCare ramp up agentic AI Healthcare IT News
- The AI supersystem shift: Why Arista’s 1.6T announcement is an Ethernet inflection point
The networking industry loves inflection points. Over the years, we have had many new compute models that require the network to evolve. For as long as I can remember, the holy war between InfiniBand and Ethernet was fought on a relatively simple battlefield: throughput versus ubiquity. But as artificial intelligence workloads scale from tens of […] The post The AI supersystem shift: Why Arista’s 1.6T announcement is an Ethernet inflection point appeared first on SiliconANGLE .
- Apple’s new Siri lives everywhere: What comes next?
Apple is expanding Siri across its ecosystem with a new AI layer that could shape future devices and experiences.
- UAE’s 50% agentic AI goal explained: What it means and who it will affect
UAE’s 50% agentic AI goal explained: What it means and who it will affect
Score: 58🌐 MovesJun 9, 2026https://www.khaleejtimes.com/business/uae-50-agentic-ai-explained-what-means-who-affect - ByteDance sets four AI priorities for 2026
World models, coding, Seedance, and Doubao monetization are set to guide its AI agenda this year.
- AI Power Demand Sends Energy Storage Supplier Up 625% in Shenzhen Debut
AI Power Demand Sends Energy Storage Supplier Up 625% in Shenzhen Debut Caixin Global
- Multibillion pound data centre project risks collapse over government delays
Multibillion pound data centre project risks collapse over government delays The Telegraph
Score: 58🌐 MovesJun 9, 2026https://www.telegraph.co.uk/business/2026/06/09/multibillion-pound-data-centre-project-risks-collapse/ - Apple's New AI Models Contain 'None' of Google's Gemini Assistant
Apple executives have detailed the architecture of the company's new Apple Foundation Models (AFM) and clarified exactly how Google's technology factored into their development. Craig Federighi, Apple's SVP of Software Engineering, held a post-keynote tech talk (via 9to5Mac ) with press on Monday alongside AI VP Amar Subramanya, Siri lead Mike Rockwell, and software VP Sebastien Marineau-Mes to walk through how the third-generation AFM family was built and how it powers Apple Intelligence . "The amount of the Google Assistant we use is none," Federighi said, explaining that Apple uses none of the Gemini models deployed to Google's customers, none of Google's client-side code, and no Google Search infrastructure as the knowledge backbone. Of course, we don't have the Gemini app as our app. In fact, none of that client code is part of how we run on iOS. For these models, we use none of the models that Google deploys to their customers, nor do we use the infrastructure and means by which they deploy models to their customers. And then, when it comes to the knowledge base, we of course don't use Google Search or anything like that as the foundation of our system. Subramanya outlined the new AFM family, which spans two on-device models and three server-side models. The on-device tier consists of AFM Core, a next-generation dense architecture model, and AFM Core Advanced, which uses a sparse architecture and is natively multimodal. Subramanya said AFM Core Advanced is "unlike any on-device model we've run before," enabling new features including invitation and expressive voices without any cloud requests. On the server side, AFM Cloud handles latency-optimized Private Cloud Compute requests, while AFM Cloud Image powers image generation and editing features including spatial reframing. The key detail on the Google collaboration came in Subramanya's description of how these four models were trained. "All of these are custom built for Apple Silicon , trained using proprietary data with reinforcement learning and refined using outputs from Gemini frontier models," he said, making clear that Google's contribution was distillation-based, not a wholesale adoption of Gemini. The fifth and most capable model, AFM Cloud Pro, is designed for agentic tool use and complex reasoning tasks, with quality that Subramanya said is "similar to Gemini frontier models." This model marks a departure from Apple's standard Private Cloud Compute setup. To run it, Apple worked with both Google and Nvidia to extend its private cloud infrastructure to Nvidia GPUs hosted in Google's cloud. Marineau-Mes said Apple wanted to use Nvidia's latest chips but required them to be configured so they couldn't read the contents of Apple's servers. A recent Nvidia technology called "ambiguous confidential compute" provided the solution. We wanted to avail ourselves of the latest technology from Nvidia, and so we set out to extend private cloud compute to third-party cloud. Federighi described the broader system architecture as being organized around a System Orchestrator, a piece of software he called "key to the privacy architecture of our entire system." The orchestrator routes any given query to the appropriate model, on-device or cloud, based on the complexity of the request and the personal context required. It draws on an App Toolbox for in-app actions, a Spotlight Semantic Index for personal content, and on-screen context for real-time awareness. For queries involving current events, responses are found through Apple's own World Knowledge Service, which Federighi said the company has been building for several years. Apple also maintains that all Private Cloud Compute infrastructure, including the extended Nvidia GPU capacity in Google's cloud, can be independently verified by third-party researchers to confirm that user data is never stored or accessed. Tags: Apple Intelligence , Craig Federighi , Google This article, " Apple's New AI Models Contain 'None' of Google's Gemini Assistant " first appeared on MacRumors.com Discuss this article in our forums
- Japan's Mitsubishi HC, Canada's Brookfield to buy European wind, solar farms in AI play
Japan's Mitsubishi HC, Canada's Brookfield to buy European wind, solar farms in AI play Nikkei Asia
- Samsung bets on AI to reinvent how it works
Samsung Group is launching a sweeping artificial intelligence initiative across its affiliates, allowing employees to use external generative AI tools such as ChatGPT, Gemini and Claude as the conglomerate seeks to overhaul the way it operates. The group said Tuesday that the tools will be rolled out this month to boost productivity in areas including software development and marketing. But for Samsung, whose businesses span semiconductors, smartphones, displays, home appliances and consumer ele
- Datadog launches more than 100 features at DASH to push autonomous AI ops
Observability and security platform company Datadog Inc. today unveiled more than 100 new capabilities at its annual DASH 2026 conference, headlined by a major expansion of its Bits AI agents that the company says can now run operations autonomously across the software development lifecycle. The releases center on two pressures Datadog argues are reshaping enterprise […] The post Datadog launches more than 100 features at DASH to push autonomous AI ops appeared first on SiliconANGLE .
Score: 56🌐 MovesJun 9, 2026https://siliconangle.com/2026/06/09/datadog-launches-100-features-dash-push-autonomous-ai-ops/ - UK AI Hardware Plan ‘significant step’ forward, but missing key energy question
UK AI Hardware Plan ‘significant step’ forward, but missing key energy question
Score: 56🌐 MovesJun 9, 2026https://sifted.eu/articles/uk-announces-new-1-1bn-bet-on-ai-infrastructure/ - China Exports Beat Forecasts on AI Boom
China Exports Beat Forecasts on AI Boom Caixin Global
Score: 56🌐 MovesJun 9, 2026https://www.caixinglobal.com/2026-06-09/china-exports-beat-forecasts-on-ai-boom-102452541.html - Zscaler launches zero trust platform for agentic AI
Zscaler announced what it calls the first complete zero trust platform for agentic AI, aimed at securing how AI agents access data and talk to one another. “Traditional security was never designed for millions of autonomous agents that act and reach sensitive data at machine speed,” said Jay Chaudhry , Zscaler’s chairman and CEO, in the Tuesday announcement . The company will be extending its Zscaler Zero Trust Exchange platform to cover AI agents, including how they connect, how they access data, and how they run on devices. According to Christina Powers , partner and cybersecurity consulting leader at management consulting firm West Monroe Partners, zero trust for agentic systems means treating every AI agent, tool, and action as untrusted until it is explicitly verified and authorized. “As organizations give agents greater autonomy to access systems and make decisions, zero trust becomes essential because of the risk of unauthorized actions being executed at scale,” she says. To this end, the new Zscaler AI Broker will secure MCP [Model Context Protocol] and A2A [Agent to Agent] communications. MCP and A2A are the top open standards for how AI agents connect to data and to each other, respectively. Second, Zscaler Endpoint AI Security will help find and stop AI-related threats on employee devices. It covers browsers, plugins, extensions, and local AI tools — which traditional endpoint security tools can miss. In addition to these two new security tools, Zscaler is announcing the Zscaler AI Access Graph, which maps how identities, applications, and data sources connect across the enterprise. This new tool is powered by Zscaler’s recent acquisition of Symmetry Systems. “The integration of this technology with Zscaler’s Zero Trust Exchange enables organizations to understand and then enforce policies, reduce unnecessary access and risk, and track data lineage in real-time across every channel,” the company said in its announcement . Finally, Zscaler is expanding Zscaler AI Protect, which was launched in January 2026. The platform will now include AI asset management, which will identify AI agents and MCP servers, discover embedded AI in SaaS and internet traffic, scan agentic code bases for risks, and provide visibility to AI activity on endpoints. The platform will also have expanded controls for AI interactions, with prompt extraction, across more than 250 genAI apps. It includes full conversational views, support for Anthropic and OpenAI compliance APIs, and intent-based guardrails for multi-turn conversations. Zscaler is also introducing AI red teaming for MCP servers, a standalone prompt hardening service, and compliance heat maps to strengthen AI governance. Zscaler is entering an agentic AI security market that barely existed a year ago. According to a report from the Dell’Oro Group , the AI systems security market is projected to grow from “essentially zero” to $8 billion by 2030 — and there are already nearly 60 vendors active in the space, offering everything from model and component security, to AI validation and red teaming, AI security posture management, runtime guardrails, and agent security. Zero trust is just one component of the AI security puzzle, says Dell’Oro Group analyst Mauricio Sanchez . At its heart, zero trust for agentic AI extends beyond users and devices to the agents themselves. “An AI agent should not inherit broad access simply because a user launched it or because it runs within a trusted application,” Sanchez says. “It needs its own identity, its own permissions, a clear scope of action, and continuous monitoring of its activities.” Enterprises need to know who authorized the agent, what it’s allowed to do, what systems it can access — and whether it can be stopped quickly if it starts to misbehave. “This is important because agentic systems can act at machine speed,” he says. “They can call APIs, move data, trigger workflows, create content, and interact with other systems.” The idea is to protect agents from both adversaries and accidental misconfigurations, says Michela Menting , vice president and analyst at ABI Research. “I would say this is particularly important, as threat actors moving laterally within an organization tend to use other internal assets to escalate privileges and reach corporate crown jewels,” she says. “Agentic systems and agents are a powerful new asset that can be exploited quite easily without such controls, and could lead to catastrophic outcomes.”
Score: 55🌐 MovesJun 9, 2026https://www.networkworld.com/article/4182976/zscaler-launches-zero-trust-platform-for-agentic-ai.html - AI model enables over a million-fold acceleration of diffuse optical tomography for real-time diagnosis
AI model enables over a million-fold acceleration of diffuse optical tomography for real-time diagnosis EurekAlert!
- Apple’s AI announcements: One big question, and 11 key features
Almost two years after Apple first showed off a video promoting the new Siri and lots of exciting new Apple Intelligence features, that future has finally arrived – at least in first beta form. The company had a lot of ground to make up. Obviously, the test will be how well the new features work in real life usage, but let’s start with what seemed to me to be the most important things the company announced … more…
Score: 55🌐 MovesJun 9, 2026https://9to5mac.com/2026/06/09/apples-ai-announcements-one-big-question-and-11-key-features/ - Wells Fargo, JPMorgan, and Other Big Banks Face Pressure to Address AI Risks
Wells Fargo, JPMorgan, and Other Big Banks Face Pressure to Address AI Risks Barron's
Score: 55🌐 MovesJun 9, 2026https://www.barrons.com/articles/wells-fargo-jpmorgan-ai-congress-fdce8b64 - FirstEnergy asks FERC to require data centers to pay for transmission interconnection costs
FirstEnergy’s proposal adopts a cost allocation practice from the gas pipeline sector. It comes ahead of the Federal Energy Regulatory Commission’s expected large load interconnection decision on June 18.
Score: 55🌐 MovesJun 9, 2026https://www.utilitydive.com/news/firstenergy-ferc-data-center-transmission-interconnection/822333/ - Rubrik turns its platform into an AI agent and ships Agent Cloud for Claude
Rubrik Inc. today turned its data security platform into an autonomous agent and made its control layer for Anthropic PBC’s Claude generally available, the headline items in a wave of announcements at its Rubrik Forward conference in Las Vegas. The releases share a common pitch: as enterprises hand more work to AI agents, the question […] The post Rubrik turns its platform into an AI agent and ships Agent Cloud for Claude appeared first on SiliconANGLE .
Score: 55🌐 MovesJun 9, 2026https://siliconangle.com/2026/06/09/rubrik-brings-agent-cloud-claude-launches-rubrik-ai-automate-recovery/ - National Cancer Center Korea developing genAI for predicting drug efficacy
National Cancer Center Korea developing genAI for predicting drug efficacy Healthcare IT News
- Walmart, Wing add 7 markets to drone delivery expansion plan
The companies aim to start operations in Philadelphia, Phoenix and other metros by 2027 as the retailer advances its fast delivery push.
Score: 55🌐 MovesJun 9, 2026https://www.supplychaindive.com/news/walmart-wing-add-7-markets-to-drone-delivery-expansion-plan/822330/ - Nvidia chief Huang wraps up visit to S. Korea focused on AI partnerships
Nvidia Corp. CEO Jensen Huang wrapped up his five-day visit to South Korea on Tuesday, focused on expanding partnerships with major Korean technology companies across a broad range of the artificial intelligence ecosystem. Huang departed from Gimpo International Airport in western Seoul, describing the trip as "very good" and highlighting the strong partnerships Nvidia has built with Korean companies. He pointed to several key announcements made during the visit, including a multiyear technology
- Apple says its AI is still private, even when it's running on Google's servers
Some models run in Google's cloud, but without giving Google any kind of access.
- Meet Hades: The malware that lies to AI security agents
Meet Hades: The malware that lies to AI security agents InfoWorld
Score: 55🌐 MovesJun 9, 2026https://www.infoworld.com/article/4182692/meet-hades-the-malware-that-lies-to-ai-security-agents.html - Intel announces AI innovations at Computex — Chip to rackscale AI solutions
At Computex 2026, Intel unveiled new innovations that address customers’ chip-to-systems-level AI needs with solutions tailored to address their specific industry challenges, including: New rackscale AI infrastructure: Intel announced rackscale AI infrastructure for customers interested in scaling their inference and agentic workloads based on Intel Xeon processors and SambaNova SN-50 Reconfigurable Dataflow Units (RDUs). Agentic cloud offering for disaggregated inference: Vector Core Compute, a new purpose-built enterprise inference cloud formed by Vista Equity Partners and Cambium Capital, unveiled fully disaggregated inference running on Intel Xeon processors, SambaNova RDUs, and NVIDIA Blackwell GPUs. Deep industry solutions: Strategic collaborations with industry leaders, including Foxconn, Siemens, Hitachi, Echo Neurotechnologies, and Greenstone Biosciences focused on delivering integrated vertical customer solutions based on Intel processors and purpose-built silicon. Intel Xeon 6+ processors: Next-generation data center CPU built on Intel 18A and designed for high-density, scale-out workloads. PC, gaming handheld, and physical AI momentum: Broad partner support and customer uptake for the Series 3 family of processors. “For more than five decades, Intel, its ecosystem partners, and Taiwan have brought the world the foundational technologies for the PC, Internet, and now AI eras,” said Lip-Bu Tan, CEO of Intel. “Today, with the rise of inference, agentic, and physical AI, Intel is poised to bring the world new innovations from the chip to systems level that promise to transform industry and society for the better. We are proud to join all our partners in building great products that will delight customers and bring the power of AI to more people as we create a brighter future together.” Rackscale AI infrastructure for inference and agentic workloads As the training of AI models has matured, and more AI applications have moved into production, the industry has witnessed an exponential rise in the demand for cost-effective and power-efficient AI inference. With the emergence of agentic AI, the growing demand for AI inference is changing the balance of power in the data center, returning the CPU to a position of prominence. According to Creative Strategies CEO and principal analyst Ben Bajarin, while “the training-era world looked closer to a one-CPU-per-four-GPU relation in AI deployments, agentic inference changes that relationship to roughly a one-CPU-to-one-GPU (or less) ratio.” Seeking to capitalize on this trend at a systems level, Intel, SambaNova, and Foxconn today announced their intent to build rackscale AI infrastructure for data center, hyperscale, and intelligence center deployments—built on Intel Xeon processors. The companies are demonstrating production-ready racks that combine Intel Xeon processors with SambaNova SN-50 RDUs, which together are designed to deliver high performance AI inference with improved cost and power efficiency. As part of the collaboration, Foxconn will provide system integration capabilities for the new rackscale AI infrastructure. Foxconn also plans to manufacture a CPU-dense variant of the rackscale infrastructure for workloads that do not require additional acceleration, including cost-optimized inference, data processing, and hybrid AI. Agentic cloud for fully disaggregated inference Vector Core Compute, a new purpose-built enterprise inference cloud formed by Vista Equity Partners and Cambium Capital, unveiled fully disaggregated inference. Running onstage at Computex, Intel, SambaNova, Vista Equity Partners and Cambium Capital showcased the first real-world demonstration of a disaggregated inference system, using Intel Xeon 6 processors for orchestration and execution, SambaNova SN40 RDUs for decode, and NVIDIA Blackwell GPUs for prefill—operating from a Vector Core Compute data center in Los Angeles, California. Together.ai is the first commercial customer running workloads on Vector Core Compute’s agentic cloud, which delivered the fastest enterprise inference on the MiniMax 2.5 model of any architecture to date. Vista Equity Partners has secured early access to the company’s high-quality, low-cost inference solutions for its 90+ portfolio companies which serve more than 2.5 million enterprise customers and 750 million users worldwide. Industry-specific solutions based on Intel processors and purpose-built silicon It is often stated that AI is transforming every industry. It is also true that the computing needs of specific industries vary widely due to differences in their business environments, processes, workflows, and customers. Intel announced several strategic partnerships designed to co-develop industry-specific vertical solutions based on Intel processors and purpose-built silicon, including: Foxconn: The world’s largest electronics manufacturer is working with Intel to provide systems integration capabilities for rackscale AI infrastructure and explore collaboration in design services and custom silicon development. Siemens: The leading technology company focused on industry, infrastructure, transport, and healthcare and Intel have expanded their existing collaboration. In 2023, Siemens and Intel first joined forces; now the two companies are strengthening their collaboration across the entire value chain from design to manufacturing to chips embedded in Siemens products. Siemens brings its capabilities for the design, manufacturing, and lifecycle management of chips, as well as fab digitalization, automation, and electrification. This collaboration will enable the exploration of use cases for purpose-built Intel silicon for Siemens’ varied compute requirements, which may include edge devices, high-performance computing (HPC), and robotics. Hitachi: A global leader in digital innovation and sustainable solutions and Intel intend to work together on a range of solutions including foundry tools and quantum computing. Echo Neurotechnologies: The developer of neuroscience and brain-computer interface solutions and Intel are exploring new neuromorphic technologies to advance neuro-AI, speech neuroscience, brain-computer interfaces, and Intel's future neuromorphic and conventional hardware architectures. Greenstone Biosciences: The Silicon Valley biotech company plans to use Intel processors, purpose-built silicon, and the Intel Health and Life Sciences AI Suite to accelerate human-centric drug development using stem cells, organoids, genomics, and AI. Intel Xeon 6+ processors for next-gen data centers Intel also announced the availability of Intel Xeon 6+ processors, which provide greater performance density, power efficiency, and operational scale for cloud-native, agentic AI, and network-intensive workloads. Built on Intel 18A—its first use in a data center CPU—Xeon 6+ is engineered for sustained performance under real-world power constraints—addressing the orchestration, concurrency, and data movement demands of emerging agentic AI. Xeon 6+ can be configured for AI rackscale infrastructure purpose-built for hosting agents at maximum density. For example, a single liquid-cooled rack can deliver 36,864 cores using 32U of compute space, which provides the highest agent density available (at approximately 100-kilowatt rack power compute). Optimized for environments where watts per rack, throughput per core, and latency predictability are critical, Xeon 6+ emphasizes scale-out performance—making room for new AI workloads without requiring disruptive data center redesign. Series 3 scale and momentum Core Ultra Series 3, built on Intel 18A, continues to experience strong customer uptake for a platform that now powers more than 325 consumer and commercial PC designs. Leveraging the same advanced IP as Ultra, the recently launched Core processors are enabling a new class of thin, sleek, powerful, and efficient PCs at affordable price points. Series 3 also pushes into the growing market of handheld gaming with the new Intel Arc G-series processors, which will be available starting this month. The expansion of the Series 3 processor family is being accelerated by increased 18A yields and strong customer and partner engagement. Beyond the PC, Intel has powered edge devices in manufacturing, robotics, retail, and smart cities for decades. For the first time, the latest Series 3 IP scaling in the PC ecosystem will deploy in parallel to thousands of edge customers globally. Over 130 customers have already chosen Series 3 to power edge AI and robotics designs.
- NIST Mathematical Proof Supports Transition to a Continuous-Monitor-and-Update Security Model for AI Systems
The proof extends to AI the logic used by famed mathematician Kurt Gödel, whose incompleteness theorems have had a profound effect on math for nearly a century.
- TCS will have as many AI agents as employees in 3 years: N Chandrasekaran
TCS Chairman N Chandrasekaran has predicted that the company could match its human workforce with the same number of AI agents in next three years
- India’s TCS chair says AI agents may equal headcount, dampen hiring
India’s TCS chair says AI agents may equal headcount, dampen hiring Reuters
Score: 54🌐 MovesJun 9, 2026https://www.reuters.com/world/india/indias-tcs-chairman-expects-ai-agents-equal-employee-count-2026-06-09/