How AI inhibits our curiosity, and what to do to regain it, according to science

AI for science is changing what storage infrastructure needs to do. Most of this infrastructure was originally built around simulations and long term storage. Now AI systems need constant and […] The post AI-Driven Science Is Turning Data Storage Into a Competitive Advantage appeared first on AIwire.

Scientists rethink their ideas after experiments. AI agents struggle to learn from evidence and recognize when an idea is obviously incorrect.

The rise in AI-generated content challenges originality, complicates legal and academic integrity, and raises unresolved copyright issues. The post OpenAI’s ChatGPT drives surge in AI-generated content across books, lawsuits, and science appeared first on Crypto Briefing.

May 18, 2026 — From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this […] The post Berkeley Lab: New MatterChat Model Helps AI to ‘See’ the Language of Science appeared first on AIwire.

Quantitative models in drug discovery, materials discovery, science and other sectors will now have much wider distribution via Claude PALO ALTO, Calif., May 18, 2026 — SandboxAQ today announced the […] The post SandboxAQ Integrates Its Quantitative AI Models with Anthropic’s Claude via MCP appeared first on AIwire.

Readers discuss artificial intelligence and writing in the classroom. Also: President Trump’s latest assault on science; election workers.

The Genesis Mission was launched by the Department of Energy seven months ago to propel the nation forward into the realm of AI for science and engineering. The mission is […] The post Understanding Genesis Mission Core Components appeared first on AIwire.

A new study from Harvard Medical School indicates that AI can outperform doctors in initial assessments in emergency care, according to The Guardian. The study, published in the journal Science, compared AI tools with doctors in triage situations — the process in which patients are sorted and prioritized, and where quick decisions must be made based on limited information. The results show that the AI system identified the correct or nearly correct diagnosis in 67% of cases, compared to 50% to 55% percent for doctors. When more detailed patient data was available, the AI’s accuracy increased to 82%, while the doctors’ accuracy ranged from 70% to 79%. The AI, based on OpenAI’s model o1, also performed better when it came to developing treatment plans. In a test using clinical cases, the AI achieved 89% accuracy, while doctors using traditional tools such as search engines reached 34%. However, the researchers emphasized that the results do not mean AI can outright replace doctors. The s