HPC Wire AI·
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.
Read full articleQuantitative 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
A study published in Science by researchers at Harvard Medical School and Beth Israel Deaconess Medical Center found that OpenAI’s o1 model outperformed internal medicine physicians in emergency room diagnostic accuracy, correctly identifying the exact or near diagnosis in 67% of triage cases compared to 55% and 50% for the two attending physicians assessed. Lead author Arjun […]
