Article 50 of the EU AI Act has entered into force, setting transparency obligations for AI providers and deployers operating across the bloc. Enterprises running generative AI tools now have to comply with Article 50, which requires providers and deployers of certain AI systems to tell people when they’re interacting with a machine, and to […] The post EU AI Act Article 50 transparency rules enter force appeared first on AI News.
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Article 50 of the EU AI Act has entered into force, setting transparency obligations for AI providers and deployers operating across the bloc. Enterprises running generative AI to…
GSK has entered into a research collaboration with British biotechnology company Relation Therapeutics worth up to $110 million, expanding the companies’ existing work in AI-assisted drug discovery. Under the agreement, Relation will generate large-scale datasets measuring how human cells respond to genetic changes and drug interventions. The data will be used to train AI models […] The post Why biological data matters more in AI drug discovery appeared first on AI News.
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GSK has entered into a research collaboration with British biotechnology company Relation Therapeutics worth up to $110 million, expanding the companies’ existing work in AI-assis…
OpenAI says its safety, security, and transparency work aligns with the EU AI Act’s GPAI Code, citing internal frameworks, provenance tools, and a new EU cyber plan. The company acknowledges the codes are still evolving and no single mechanism solves content provenance.
OpenAI contributed to and endorsed the EU’s GPAI Code of Practice and the Code of Practice on Transparency of AI-Generated Content.
Internal Preparedness and Frontier Governance Frameworks govern risk assessment, safeguards, and incident response.
Mark Zuckerberg has published a WSJ op-ed that argues superintelligence must reach individuals, not just a handful of institutions. He outlines a 'personal superintelligence' vision and commits Meta to building toward it on principles of individual empowerment, invention, and balance of power. The piece criticizes industry doomism and argues for widespread distribution to counter concentrated power.
Zuckerberg argues superintelligence should be a personal tool, not concentrated in institutions.
Meta's 'personal superintelligence' strategy is based on individual empowerment, invention, and balance of power.
Small and mid-sized businesses now face rising cybersecurity threats. AI is transforming Linux VPS security by analyzing multiple signals—logins, traffic, resource usage—to detect anomalies earlier than rule-based systems. It helps with patching, network monitoring, access control, and incident response. However, AI doesn't replace human administrators; fundamentals like updates, firewalls, backups, and audits remain essential. Pairing AI monitoring with sound practices provides the most resilient protection.
AI analyzes multiple signals (logins, traffic, behavior) to detect anomalies earlier than traditional rule-based systems.
Common Linux VPS risks include brute-force attacks, malware via unpatched software, DDoS, misconfigurations, and stealthy unauthorized access.
OpenAI releases a field report tracking eight scientific computing projects where coding agents (Codex and Claude Code) cut runtimes. Tasks include packaging, performance optimization, and full ports. Agents handle implementation but verification remains human. The report highlights risks of fragmentation and the need for stewardship.
Eight scientific projects used coding agents to reduce runtimes.
Tasks included packaging cleanup, performance optimization, and language ports.
Similarweb reports that AI Overviews now appear in 43% of US searches, up from 15% a year ago. AI Mode usage is growing, but citation increases don't always drive traffic.
AI Overviews appear in 43% of US searches, nearly tripling from last year
AI Mode surpasses 1 billion monthly users, though metrics differ
Guardoc Health processes over one million clinical documents daily using Amazon Nova models through Bedrock, reporting a 46% reduction in documentation errors, 70% drop in audit fines, and over $400,000 in annual ROI per facility. The company's RAG pipeline combines Amazon Textract, Titan embeddings, and Nova models for accuracy and cost efficiency.
Guardoc Health processes over 1 million clinical documents daily using Amazon Nova models via Bedrock.
Reports 46% fewer documentation errors, 70% reduction in audit fines, and >$400k annual ROI per facility.
Armenia is pursuing compute sovereignty by building a major AI hub with NVIDIA GPUs, rather than chip fabrication. The Firebird project aims to transform the country into a regional AI compute center, leveraging U.S. export approvals and local talent.
Armenia's Firebird AI hub will host thousands of NVIDIA Blackwell GPUs, backed by $4 billion investment, positioning it as a regional compute center.
The initiative focuses on compute sovereignty, not chip manufacturing, using imported GPUs to build AI infrastructure.
Insilico Medicine has reduced the time needed to produce some drug development candidates to about one year by combining artificial intelligence with laboratory research in China, according to CEO Alex Zhavoronkov. The Hong Kong-listed company’s fastest programme reached candidate nomination in nine months, while its typical timeline is about 13 months. Conventional approaches usually take about four-and-a-half years to reach the same stage.
Insilico Medicine uses AI to cut drug candidate discovery from 4.5 years to about 13 months, with fastest case at 9 months.
AI-designed molecules are synthesized and tested (60-200 compounds) before preclinical candidate nomination in 12-18 months.
Artificial intelligence has become one of the defining investment stories in the United States, with Microsoft, Meta, Amazon and Alphabet committing hundreds of billions to AI infrastructure, while demand for advanced chips has turned NVIDIA into one of the world’s most valuable companies. The investment is driving construction, manufacturing, energy and digital infrastructure, reshaping supply chains, and influencing financial markets.
Tech giants are pouring hundreds of billions into AI infrastructure, driving a new wave of economic investment.
The AI boom is boosting construction, semiconductor manufacturing, and energy sectors beyond Silicon Valley.
Two dozen companies and organizations signed an open letter urging US policymakers to protect open-weight AI models. The letter draws parallels to the open-source software movement, arguing that open weights lower barriers, increase competition, and prevent vendor lock-in. It also addresses security concerns, arguing that closed models are not inherently safer, and defends model distillation as a legitimate technique.
24 companies and organizations including Meta, Microsoft, Nvidia, IBM sign a letter supporting open-weight AI.
Open-weight models allow anyone to download, inspect, modify, and run them, contrasting with closed API models.
OpenAI is deploying a Health feature in ChatGPT, enabling users to connect Apple Health data and medical records for personalized conversations. The feature is available to US users 18+ on web and iOS, across all tiers. It aims to help users understand health information rather than diagnose.
Users can sync Apple Health and US hospital records to ChatGPT for contextual conversations.
OpenAI positions the tool as supportive, not diagnostic; users should verify important info with providers.
OpenAI's Presence is a managed enterprise AI agent product, deployed by its own engineers, aiming to address the high failure rate of agentic AI projects. It is currently in limited general availability.
Presence is sold as a project, not a product, with deployment led by OpenAI's Forward Deployed Engineers.
Each agent is given only the knowledge and access needed for a specific job, with customer-defined rules.
Nvidia's open-source Medical Physics Simulation framework treats healthcare robots as physical AI systems, generating training data through simulation to accelerate surgical robot development.
Nvidia releases Medical Physics Simulation framework for physical AI training of healthcare robots.
Combines classical physics simulation with generative AI to run thousands of parallel training environments, drastically cutting training time.
AMD has agreed to invest up to $5 billion in Anthropic as part of an infrastructure deal that includes deploying up to two gigawatts of capacity using AMD's Instinct MI450-series accelerators, with the first gigawatt starting in the first half of 2027. The investment is tied to deployment milestones, and the companies also plan a multi-year engineering collaboration to optimize Claude for AMD hardware.
AMD invests up to $5 billion in Anthropic for AI infrastructure
Anthropic to deploy up to 2 gigawatts of AMD Instinct MI450-based systems, first gigawatt by H1 2027
SenseTime has launched the Galaxy Project, partnering with nearly 20 companies to scale domestic AI chip infrastructure in China. The company claims its platform processes 2.42 trillion tokens daily and projects a 25-fold increase to 10 trillion by Q4 2026, though these figures lack independent verification. The project spans chips, components, and infrastructure, with additional bets on space computing.
SenseTime launches Galaxy Project with nearly 20 partners to scale domestic AI chip infrastructure.
Claims 2.42 trillion daily token processing, targeting 10 trillion by Q4 2026, but numbers unverified.
Google has released Gemini 3.6 Flash and 3.5 Flash-Lite as new workhorses designed to cut latency and token costs for enterprise AI agents. The new models offer significant performance improvements, targeted pricing, and integrated computer-use tools, with enterprise partners already deploying them in production.
Gemini 3.6 Flash reduces output tokens by 17% (up to 65% in specific tests), priced at $1.50/1M input and $7.50/1M output tokens.
Gemini 3.5 Flash-Lite offers high throughput at lower cost ($0.3/1M input, $2.5/1M output), suitable for high-volume agentic tasks.
This article explores how generative AI tools create variable reward loops that fragment attention and hinder deep work, and provides strategies to protect focus in an AI-driven workplace.
Generative AI interfaces reward continued engagement over task completion, creating time sinks.
While AI boosts efficiency in some domains, it can increase workload in judgment-heavy tasks.
Bristol Myers Squibb is purchasing an Nvidia DGX SuperPOD built on the Vera Rubin architecture to support AI across drug discovery and development. It will be the first life sciences company to acquire this system, which offers 10x performance per megawatt. The system will be used for model training, predictions, and shared across global research sites.
BMS buys Nvidia DGX SuperPOD with Vera Rubin architecture for AI-driven drug discovery
System includes 8 DGX Vera Rubin NVL72 racks, delivering 10x performance per watt
US policymakers are debating whether to create regulatory risk around Chinese open-weight models. The release of Moonshot AI's Kimi K3 reignited the argument. Enterprises face not just performance questions but whether these models will remain easily accessible in a year.
Moonshot AI's Kimi K3, the largest open-weight model to date, rekindled a dormant policy debate in Washington.
Potential mechanisms include procurement rules, export blacklists, and security advisories that ripple through global cloud providers.
Public health departments across the US will test generative AI tools under a new program, PULSE, involving the Coalition for Health AI, OpenAI, Anthropic, and Accenture. The program will run trials in 10 jurisdictions, providing enterprise licenses for up to 2,000 practitioners. It covers five use cases including biosurveillance, social determinants of health, public communications, and automated clinical data retrieval. Pilots are scheduled for autumn 2026, with playbooks expected in 2027.
The PULSE program, involving CHAI, OpenAI, Anthropic, and Accenture, will conduct trials in 10 jurisdictions.
OpenAI and Anthropic donated 10 enterprise licenses serving up to 2,000 public health practitioners.
Moonshot AI’s Kimi K3, a 2.8-trillion-parameter open-weight model, uses mixture-of-experts, quantization, and attention caching to trade compute for memory, circumventing US chip restrictions. While it tops benchmarks in coding, deployment requires data-center infrastructure, pricing is high, and software support is incomplete.
Kimi K3 has 2.8 trillion parameters, making it the largest open-weight model released.
It employs mixture-of-experts, quantisation-aware training, and Kimi Delta Attention to reduce compute and memory demands.
Bunkerhill Health has raised $55 million to scale its agentic AI platform, Carebricks. The platform is already live at Cleveland Clinic, UTMB, and Intermountain Health. UTMB has deployed over 20 agents across clinical, operational, and administrative workflows, reporting early wins such as a coronary calcium detection agent that flagged a patient at imminent heart attack risk, leading to a life-saving triple bypass.
Bunkerhill Health closes $55M Series B with participation from Sequoia Capital, Khosla Ventures, and others.
Its agentic AI platform Carebricks allows hospitals to build custom AI agents for clinical, operational, and administrative tasks.
Google DeepMind and Isomorphic Labs outlined a bioresilience program to curb AI misuse in biology while aiding outbreak response. The initiative has built over 15 partnerships with government bodies, biosecurity organizations, and research groups in the past year.
Program rests on three pillars: preventing misuse, detecting outbreaks faster, and responding. It has over 15 partnerships including Lawrence Livermore National Laboratory and UK AI Security Institute.
DNA synthesis screening is a key risk; AI can design sequences that bypass current screens.
Neko Health raised $700 million in Series C funding to launch its AI-powered preventive health screening service in the United States, starting with a New York clinic. The company combines full-body scans, blood tests, and clinician review.
Neko Health raised $700 million to expand its AI body scan service to the US.
The funding round was led by Lightspeed and O.G. Venture Partners, with participation from celebrities.
Nokia launched its AI-RAN platform on July 15, claiming it as the industry's first GPU-accelerated AI radio platform. Built on its anyRAN software and NVIDIA's Aerial system, it aims to significantly improve spectral efficiency, already showing over 20% gains with targets of 50% by 2027 and over 100% by 2028. However, the platform is not yet commercial and faces competition from Ericsson's already-deployed AI-in-RAN software.
Nokia launched AI-RAN platform on July 15, claiming first GPU-accelerated AI-RAN.
Platform aims for >100% spectral efficiency gains by 2028; currently 20%.
Bluesight, with AWS support, has created Prism, an AI layer for hospital pharmacy compliance. The ControlCheck agent is now general available across 20 health systems, while a multi-product agent for 340B GPO compliance is scheduled for 2026. The system uses Amazon Bedrock and agentic workflows to automate manual data-intensive tasks, reducing report generation time by up to 97% in initial deployments.
Bluesight's Prism AI layer integrates pharmacy and compliance data; ControlCheck assistant is GA across 20 health systems.
A multi-agent for 340B GPO compliance is in development, using Claude models, achieving high accuracy in synthetic tests.
Cloudflare will block AI agent crawlers by default on ad-supported pages from September 15, categorizing bots into Search, Agent, and Training. This forces AI companies to renegotiate access and spawns pay-per-use models.
Cloudflare splits its AI bot block into three categories: Search, Agent, and Training, blocking the latter two on ad pages by default.
New defaults apply from September 15 for new Cloudflare domains and existing free-tier customers.
Jensen Huang proposes a test for engineers: their annual AI token consumption should be at least half their salary. Nvidia aims for $2 billion yearly token bill. Many firms cut headcount to fund AI, but Gartner finds 80% saw no ROI improvement. Optimization techniques like prompt caching, model routing, and RAG can reduce token costs significantly. Retaining and training junior engineers is crucial for long-term success.
Jensen Huang suggests engineers' AI token usage should be at least 50% of their salary.
Companies are cutting jobs to afford AI token costs, often with poor returns.