Anthropic said on March 23, 2026 that it is launching a Science Blog focused on how AI is changing research practice and scientific discovery. The new blog will publish feature stories, workflow guides, and field notes, while also highlighting Anthropic's broader AI-for-science programs.
Microsoft has introduced Copilot Health as a separate, secure space inside Copilot for combining health records, wearable data, and health history. The company is starting with a waitlist and says the service will launch first in English for U.S. adults 18 and older.
The subreddit focused on the unusually candid part of Anthropic's physics case study: Claude moved work faster, but still needed expert supervision to catch fabricated checks, wrong formulas, and weak judgment.
Google DeepMind said on X on March 12, 2026 that a new podcast for AlphaGo’s tenth anniversary explores how methods first sharpened in games now feed into scientific discovery. The post lines up with DeepMind’s March 10 essay arguing that AlphaGo’s search, planning, and reinforcement ideas now influence work in biology, mathematics, weather, and algorithms.
A heavily discussed HN post focused on Epoch AI’s confirmation that GPT-5.4 Pro helped solve one FrontierMath Open Problems combinatorics challenge, shifting attention from benchmark scores toward expert-verified research workflows.
A Reddit discussion on r/MachineLearning surfaced an arXiv study on age-related bias in breast MRI segmentation. The paper says automated labels can distort fairness measurement through a 'Biased Ruler' effect and that poorer performance for younger patients is not fully explained by breast density alone.
On Feb. 12, 2026, Google announced a major Gemini 3 Deep Think upgrade for science, research, and engineering. The new version is available in the Gemini app for Google AI Ultra subscribers and, for the first time, via early API access for researchers, engineers, and enterprises.
Google says joint research with Imperial College London and the UK’s NHS found that an experimental AI system identified 25% of interval cancers missed by conventional screening. The studies also suggest AI could reduce screening workload, while highlighting trust and calibration challenges in real clinical workflows.
On March 12, 2026, Google introduced Groundsource, a Gemini-powered method that converted public reports and Google Maps signals into a dataset covering more than 2.6 million historical flood events across 150 countries. Google says the resulting model can forecast urban flash floods up to 24 hours in advance and is now available in Flood Hub.
NVIDIA and Oracle said on March 16, 2026 that they will build the U.S. Department of Energy's largest AI supercomputer at Argonne National Laboratory. The Solstice and Equinox systems combine 110,000 Blackwell GPUs and a stated 2,200 exaflops of AI performance for scientific discovery.
A Reddit discussion around a new medical segmentation paper argues that using automated labels for both training and evaluation can hide age-related disparities, making younger-patient performance look better than it really is.
On March 12, 2026, Google Research said it is expanding Flood Hub with urban flash-flood predictions that can give up to 24 hours of advance notice. The company says it trained the model with a Groundsource dataset built by using Gemini to extract past flood-event details from public news reports.