The latest breakthroughs in AI research, large language models, and real-world applications.
28 articles — page 1 of 4
China's CXMT is advancing its 4F² DRAM memory-chip architecture to boost density. Here's why memory bottlenecks matter for AI data centers and global semiconductor competition.
Oct 14, 2026
Google's new AI model targets complex coding, research, cybersecurity and business tasks. With a 1M token context and agentic workflows, is the chatbot era giving way to AI agents?
From AlphaFold 3 to AlphaGenome, Google DeepMind and Google Cloud are providing European researchers with access to frontier scientific AI models and $3 million in computing credits.
AI is learning to act. Now, researchers need to make sure it acts safely. NVIDIA commits $250 million in compute infrastructure to UK research universities for agentic safety.
Anthropic's massive TPU commitments show that the AI race is no longer just about better models. It is increasingly about chips, data centers, electricity and who can finance the infrastructure.
Oct 5, 2026
AI agents are gaining access to browsers, terminals, APIs and enterprise systems. NVIDIA's Open Agent Safety Platform takes a different approach: don't just teach AI to behave—build infrastructure that can stop it.
NVIDIA-backed Reflection is preparing a new open-weight AI model aimed at challenging leading closed and open models. The bigger story is the growing race to make powerful AI models organizations can actually control.
Sam Altman says society should accept some AI risks for the technology's benefits. Days earlier, OpenAI safety leader David Robinson resigned and called the company's culture broken. The AI safety debate is entering a new phase.
OpenAI's new Dots are always-on AI agents designed to keep working toward your goals across apps, tools, and cloud computers. This could change AI from something you ask into something that works beside you.
