--- format: "aidr-story-markdown/v1" id: "dffa212fdc08d8d6f5eacc65b2f10f5595466e199d619998ca3e2463f303475c" canonical_url: "https://aidr.today/dffa212f?lang=en" title: "Google Says Multi-Agent AI Solved 10 Open Theory Problems for Math and CS" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-11-13T21:27:07.000Z" category: "Tools" topics: ["google","agent","devtools"] source_urls: ["https://huggingnews.com/ai/google-says-multi-agent-ai-solved-10-open-theory-problems-for-math-and-c-bd3452f1","https://marketbrief.now/ai/google-says-multi-agent-ai-solved-10-open-theory-problems-for-math-and-c-bd3452f1"] summary: "Google's /teamwork multi-agent workflows utilizing Gemini 4 models solved more than 10 open problems in computer science and math theory. The system achieved a 95% top-1 exact match for NMR molecular structure elucidation and increased the speed of clustering 1 trillion-edge graphs by up to 180 times. Google is inviting 10,000 academic researchers to apply for six months of complimentary access to the premium usage tier of its Antigravity AI platform." --- # Google Says Multi\-Agent AI Solved 10 Open Theory Problems for Math and CS > [Open the canonical story]() **Published:** 2026-11-13T21:27:07.000Z **Category:** Tools **Topics:** google, agent, devtools ## Summary Google's /teamwork multi\-agent workflows utilizing Gemini 4 models solved more than 10 open problems in computer science and math theory\. The system achieved a 95% top\-1 exact match for NMR molecular structure elucidation and increased the speed of clustering 1 trillion\-edge graphs by up to 180 times\. Google is inviting 10,000 academic researchers to apply for six months of complimentary access to the premium usage tier of its Antigravity AI platform\. ## Sources - [Story source]() - [Story source]()