4+ hour, 31+ min ago  (1451+ words) By Don Wallace, Conor Griffin, Sean O’Neill, Thang Luong, Owen Larter Over the past year, agents have transformed what it means to code. Scientific research may be next — from proposing novel hypotheses, to designing experiments, to discovering algorithms that improve…...

2+ mon, 1+ week ago  (819+ words) A year ago, we introduced AlphaEvolve, a Gemini-powered coding agent for designing advanced algorithms. We showed that AlphaEvolve can help make new discoveries on open problems across mathematics and computer science, and optimize algorithms that have since been deployed across…...

2+ mon, 2+ week ago  (1357+ words) A proof-of-concept for fusion energy By Conor Griffin, Don Wallace, and Theo Brown For 40 years, amid green pastures outside Culham, a small village in Oxfordshire, scientists and engineers toiled at the Joint European Torus. They were attempting to harness nuclear…...

2+ mon, 3+ week ago  (618+ words) Recent works show that image and video generators exhibit zero-shot visual understanding behaviors, in a way reminiscent of how Large Language Models (LLMs) such as Gemini and GPT develop emergent capabilities of language understanding and reasoning from generative pretraining. While…...

5+ mon, 22+ hour ago  (813+ words) With the help of Google Cloud’s Vertex Training Clusters (VTC) infrastructure and model training science support, AI Singapore developed a state-of-the-art SEA language model based on Gemma 3 27B. In late 2025, AI Singapore (AISG) released SEA-LION v4, the next chapter for their flagship…...

5+ mon, 4+ day ago  (556+ words) Thang Luong and Vahab Mirrokni Listen to article 10 minutes Under direction from expert mathematicians and scientists, Gemini Deep Think is solving professional research problems across mathematics, physics, and computer science In the last week, our teams published two papers (1, 2) detailing…...