Latest AI (Artificial Intelligence) News
AI Vulnerabilities Named Fastest-Growing Cyber Risk
A World Economic Forum survey identifies AI vulnerabilities as the fastest-growing cyber risk in 2025, with 87% of respondents agreeing, outpacing geopolitics and fraud. Organizations are ramping up AI security assessments from 37% to 64%, as AI expands attack surfaces while aiding both defenders and attackers. The report, based on over 800 global executives, warns of novel vulnerabilities traditional controls can't address.
Yale-Google AI Model Discovers New Cancer Treatment Method
A Yale and Google DeepMind AI model, using language processing on gene expression data, predicted Silmitasertib could enhance immune detection of tumors, validated in lab tests. This marks the first LLM application to model cellular biology and drug effects experimentally. Google's CEO hailed it as a milestone for AI in science.
Senhwa Biosciences is now exploring this new use.
UCSC Experts Guide Ethical AI Development
UC Santa Cruz researchers address AI's 2025 impacts on workplaces, markets, infrastructure, and geopolitics, pushing for sustainable and socially beneficial directions. Concerns include job displacement, AI 'slop' content, and data center environmental costs. Experts note real demand unlike dot-com bubble, but stress managing downsides.
Breakthrough AI Technologies Reshaping 2026
Key 2026 advancements include AI agents that act autonomously, edge AI on devices for privacy and speed, ultra-efficient hardware reducing energy use, and climate AI digital twins. Precision medicine AI tailors treatments, while secure AI systems enable verification and watermarking.
Humanoid robots improve slowly for logistics and healthcare.
UC Berkeley AI Experts Predict 2026 Trends
Berkeley experts watch for AI data center bubble risks, deepfake erosion of trust, and humanoid robot limitations due to data gaps. Policy battles intensify amid economic reliance on AI stocks. Stuart Russell warns of AGI control challenges if breakthroughs occur.
Materials Project Accelerates AI-Driven Materials Discovery
Lawrence Berkeley's Materials Project provides AI-ready data for energy tech, aiding Google DeepMind's GNoME models and the A-Lab's robotic synthesis of novel materials. It enables quick property predictions for hundreds of thousands of materials.
Community contributions expand coverage.
Visa Forecasts AI-Driven Global GDP Growth at 2.7% in 2026
Visa's outlook predicts steady 2.7% global GDP growth amid AI adoption, supply chain shifts, and demographics, with small businesses adopting generative AI faster than consumers for higher transaction growth. Business investment offsets softening consumption.
Geonomics displaces globalization.
Thomson Reuters Launches Trust in AI Alliance
Thomson Reuters Labs unites Anthropic, AWS, Google Cloud, and OpenAI to define principles for trustworthy agentic AI systems. The alliance advances responsible development across industry and academia.
EU Unveils AI Omnibus for Regulatory Simplification
The EU proposes the AI Omnibus to streamline digital rules, boosting innovation and cutting costs for AI development. Announced January 12, 2026.
NVIDIA BioNeMo Adopted for AI Drug Discovery
Life sciences leaders like Lilly adopt NVIDIA's BioNeMo platform; Lilly and NVIDIA launch AI co-innovation lab, with Thermo Fisher for autonomous labs. Accelerates drug discovery.
Pharma Trends: Targeted AI in Clinical Trials
2026 pharma trends include accelerated AI protocol automation, risk-based validation, continuous trials, and navigating uncertainty with targeted AI.