10 articles
The C-BRAIN consortium is combining governed institutional data, NVIDIA systems, and open AI tools to shorten the path from dementia research evidence to testable hypotheses.
OpenAI is offering university research labs access to GPT-Rosalind, a move that shifts life-sciences AI from model novelty toward reproducible academic workflows.
Google Deep Review analyzes technical documents with cited checks, exposing where AI research assistance helps and where human judgment remains essential.
A Mount Sinai study reported that safety reminders can reduce harmful choices by AI systems in clinical scenarios, but the result is a guardrail—not a substitute for care-team judgment.
A new arXiv paper on Context Language Models proposes a model that learns from its context as it runs, reopening the design space beyond fixed-weight inference.
The UK’s Isambard-AI supercomputer shows what national AI capacity looks like when research access, power, networking, and governance share one machine.
Anthropic’s latest scientist-focused work shows the company is pushing Claude beyond chat and into the research workflow, where reproducibility, tool access, and domain trust matter more than slick demos.
Anthropic’s Claude Science launch suggests the company wants scientists to adopt AI as a workbench, not just a chat assistant.
MIT's new child-safety method for illegal AI-generated content shows safety now depends on engineering controls, not just policy language.
Pew’s latest survey shows chatbot use is becoming ordinary for many Americans, even as a much larger share says AI is advancing too quickly.