"Built from the ground up to be fully integrated with Gemini, the lab will synthesize and characterize hundreds of materials per day, cutting the time needed to identify new materials. Superconductors that operate at ambient temperature and pressure could allow for low-cost medical imaging and reduce power loss in electrical grids, the firm said, while other novel materials could lead to advanced batteries, next-generation solar cells, and more efficient computer chips."
"As part of the deal, scientists will be given priority access to Google DeepMind's existing AI models, including tools like AlphaGenome for DNA sequencing, AlphaEvolve for designing algorithms, weather forecasting models, and a new AI 'co-scientist': a multi-agent system that acts as a virtual research collaborator. Meanwhile, a new AI system, Gemini for Government, aims to cut bureaucracy and automating routine tasks."
Google DeepMind will construct an automated research laboratory fully integrated with Gemini capable of synthesizing and characterizing hundreds of materials per day, greatly accelerating materials discovery. The facility targets breakthroughs such as ambient-temperature, ambient-pressure superconductors that could enable low-cost medical imaging and reduce power loss in electrical grids. Additional targets include advanced batteries, next-generation solar cells, and more efficient computer chips. The agreement covers AI-enabled research in areas including fusion energy and grants scientists priority access to models like AlphaGenome, AlphaEvolve, weather forecasting tools, and a multi-agent AI 'co-scientist.' Gemini for Government aims to reduce bureaucracy and automate routine tasks, and a curriculum-grounded Gemini pilot saved teachers about ten hours per week in Northern Ireland. DeepMind will expand collaboration with the UK's AI Security Institute by sharing models, data, and joint reports.
Read at IT Pro
Unable to calculate read time
Collection
[
|
...
]