OpenAI says ChatGPT is already being used at research scale across science and mathematics. In its January 2026 report, the company says advanced science and math usage reached nearly 8.4 million weekly messages from roughly 1.3 million weekly users, with early evidence that GPT-5.2 is contributing to serious mathematical work.
NVIDIA AI Dev highlighted on March 27, 2026 that Edison's PaperQA3 can reason over more than 150 million research papers and patents and posted strong LABBench2 results. Edison's article says the multimodal system can now read figures and tables, compare hundreds of visual elements before answering, and rank among the strongest deep-research agents on relevant LABBench2 subsets.
Google Research said on March 16, 2026 that its superconductivity case study found curated-source systems outperforming open-web LLMs. NotebookLM and a custom RAG setup scored highest on expert-written questions about high-temperature superconductors.
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.
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.
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 DeepMind said on February 11, 2026 that Gemini Deep Think is now helping tackle professional problems in mathematics, physics, and computer science under expert supervision. The company tied the claim to two fresh papers, a research agent called Aletheia, and examples ranging from autonomous math results to work on algorithms, optimization, economics, and cosmic-string physics.
A study published in Science journal found that ChatGPT surfaced a surprising insight in particle physics research that human scientists had missed, raising new questions about AI's role in scientific discovery.