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Google DeepMind launches cheminformatics skill for Antigravity

On November 3, 2026, Google DeepMind released a cheminformatics skills set (Cheminformatics Skills) for Google Antigravity. The skill is based on RDKit, connects to ChEMBL and PubChem, and has a language model responsible for task orchestration and scientific reasoning, while deterministic chemistry tools perform molecular computations. Taking a lung cancer drug as an example, the agent retrieved thousands of compounds within about one hour, completed matched molecular pair analysis and trained a potency prediction model, and also proposed novel rigidified macrocyclic molecule designs with synthetic routes. Google DeepMind also noted that sparse data, inter-laboratory assay noise and narrow dynamic range can limit prediction accuracy, and that computational design is only a verifiable hypothesis that still requires experimental synthesis for validation. The skill is now live on Antigravity and can be used by installing the Science plugin, and free access to the highest usage tier for six months is being offered to 10,000 scientists.

Google DeepMind launches cheminformatics skills for Antigravity

On November 3, 2026, Google DeepMind released a cheminformatics skills set (Cheminformatics Skills) for Google Antigravity. The skill is based on RDKit, connects to ChEMBL and PubChem, and has a language model responsible for task orchestration and scientific reasoning, while deterministic chemistry tools perform molecular computations. Taking a lung cancer drug as an example, the agent retrieved thousands of compounds within about one hour, completed matched molecular pair analysis and trained a potency prediction model, and also proposed novel rigidified macrocyclic molecule designs with synthetic routes. Google DeepMind also noted that sparse data, inter-laboratory assay noise and narrow dynamic range can limit prediction accuracy, and that computational design is only a verifiable hypothesis that still requires experimental synthesis for validation. The skill is now live on Antigravity and can be used by installing the Science plugin, and free access to the highest usage tier for six months is being offered to 10,000 scientists.

View story:Google DeepMind launches cheminformatics skill for Antigravity

Google DeepMind releases the Gemini 4 Carbon model

On October 28, 2026, Google DeepMind released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0, and scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. The model is aimed at long-horizon engineering tasks and was first opened to some cybersecurity defenders, then expanded through the Fairwind Program, and afterward made available to developers, enterprises, and consumers. On October 29, Arena.ai said Gemini 4 Carbon ranked 2nd in Agent Arena with a net improvement of 16.2%, and was on the Pareto frontier for cost, time, and output tokens per task; the same day, Yuchen Jin cited Artificial Analysis data saying it was smarter than Opus 5.5 and cheaper per task, but noted that the evaluation used the Antigravity CLI. On October 30, the Artificial Analysis Intelligence Index showed it in first place with 59 points, 1 point higher than Claude Opus 5.5. On October 31, Perplexity CEO Aravind Srinivas shared early evaluations

Google DeepMind expands PlanAssist to 12 more local planning authorities in England

The AI planning tool PlanAssist, developed by Google DeepMind in partnership with the UK government, will be expanded to 12 additional local planning authorities in England, bringing the total number of participants to 15. In early pilots in Barnet, Camden and Dorset, the tool cut the average time planning officers spent assessing household residential applications by 58%, and more than 70% of the generated reports were approved by officers without modification. Built on Gemini, PlanAssist verifies application materials and drawings, checks against heritage protection restrictions and local and national planning policy, reviews past objections, and drafts reports with citations, with the final decision still made by planning officers. The tool has been piloted since June and is now entering a 12-month Beta phase; if testing goes smoothly, the UK government plans to make it available to all local councils in England in 2027.

Google DeepMind expands PlanAssist to 12 more local planning authorities

The AI planning tool PlanAssist, developed by Google DeepMind in partnership with the UK government, will be expanded to 12 additional local planning authorities in England, bringing the total number of participants to 15. In early pilots in Barnet, Camden and Dorset, the tool cut the average time planning officers spent assessing household residential applications by 58%, and more than 70% of the generated reports were approved by officers without modification. Built on Gemini, PlanAssist verifies application materials and drawings, checks against heritage protection restrictions and local and national planning policy, reviews past objections, and drafts reports with citations, with the final decision still made by planning officers. The tool has been piloted since June and is now entering a 12-month Beta phase; if testing goes smoothly, the UK government plans to make it available to all local councils in England in 2027.

View story:Google DeepMind expands PlanAssist to 12 more local planning authorities in England