According to Google DeepMind, the company will open its first automated materials discovery lab in the UK in 2026, fully integrated with the Gemini AI model. The lab will leverage AI-driven automation to synthesize hundreds of new candidate materials daily, addressing key business opportunities in developing advanced solar cells, semiconductor chips, and next-generation batteries. This AI-powered materials research platform is expected to accelerate time-to-market for innovative materials and create competitive advantages for companies in the energy and electronics sectors (source: @GoogleDeepMind, Dec 11, 2025).

According to @MetaAI, Meta FAIR, Georgia Tech, and Cusp AI have released the Open Direct Air Capture 2025 dataset, now the largest open dataset focused on discovering advanced materials for direct air capture of CO2. This dataset empowers AI researchers and companies to rapidly and accurately screen materials for carbon capture, significantly accelerating the development of new, efficient direct air capture technologies. The availability of such a comprehensive, high-quality dataset presents immediate business opportunities for startups and enterprises aiming to apply machine learning and AI to environmental and climate tech sectors. The release is expected to drive innovation in AI-powered materials discovery and commercial applications for carbon removal (Source: @MetaAI, @GeorgiaTech, @cusp_ai on Twitter).