Artificial Intelligence News

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.