Google DeepMind and Google Cloud are committing $40 million in AI tokens and cloud credits to the DOE Genesis Mission. The program aims to double the pace of U.S. scientific discovery within a decade, starting from work across 17 DOE national labs.
Anthropic is not only selling Claude Science as a research workbench. It says it wants to discover treatments for neglected diseases, raising a harder question: can a frontier AI lab become both a pharma software vendor and a drug developer?
Anthropic is moving AI-for-science support from chat into reproducible work sessions. Claude Science combines 60-plus scientific skills and connectors, reviewer agents, HPC or SSH workflows, and up to $30,000 in credits for as many as 50 projects.
Microsoft Discovery became generally available on June 2 for organizations building governed R&D workflows. The platform connects specialized agents, scientific knowledge, simulation tools, validation data, and a new local preview app for researchers.
Google DeepMind is tying frontier models directly to a national research agenda. On April 27, 2026, it said Korea will get a new AI Campus in Seoul plus joint work with SNU, KAIST, and three AI Bio Innovation Hubs.
This turns Google DeepMind’s science stack into a named national partnership instead of another generic AI pledge. The plan starts with a Seoul AI Campus, work with SNU and KAIST, and an AlphaFold base already used by more than 85,000 researchers in Korea.
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.org announced a new $30 million global open call for AI-for-science projects on February 18, 2026. Applications are open through April 17, 2026, with focus areas in health and life sciences, crisis resilience, and environmental science.
On February 18, 2026, Google DeepMind announced expanded partnerships in India across science, education, and public-interest AI deployment. The plan combines model access, training programs, and funding, including a $30 million Google.org AI for Science challenge.
On February 13, 2026, OpenAI reported that GPT-5.2 produced a candidate derivation for the charged Cardy formula, a long-standing theoretical physics problem. The release included a paper, model outputs, and named external expert analysis.
Google DeepMind said it is supporting the U.S. DOE Genesis Mission and providing accelerated access to AI for Science tools across all 17 DOE National Laboratories. The program starts with AI co-scientist and is set to expand in early 2026 to tools including AlphaEvolve, AlphaGenome, and WeatherNext.