MIT Technology Review argues that AI agents, rather than data-hungry models alone, could make scientific research faster, more reproducible, and broadly useful.

Google.org announces a $30 million AI for Science Impact Challenge, inviting nonprofits and research organizations to apply for funding to leverage AI for breakthrough scientific discoveries. The initiative aims to democratize access to advanced AI tools for scientific research globally.

Google announces AI tools DeepPolisher, DeepVariant, and DeepConsensus successfully sequenced genomes of 13 endangered species. Google.org commits funding to expand project to 150 additional species, releasing all data openly for conservation research.