The European Commission launched the RAISE pledge initiative at the 2026 European AI in Science Summit in Dublin, mobilizing private and philanthropic resources such as models, computing power, data, software, and expertise for European AI researchers, with first pledgers including Novo Nordisk Foundation, NVIDIA, Sanofi, Elsevier, Frontiers, Google, and Mistral AI.
In an interview on October 22, 2026, Google DeepMind CEO Demis Hassabis compressed his AGI timeline from three to five years to two to three years, citing accelerating progress. He reaffirmed AGI's primary role in accelerating scientific discovery and maintained a cautious regulatory stance, while noting Isomorphic Labs' $2.1 billion Series B and plans to file its first clinical trial application by end of 2026.
The second International Conference of Artificial Intelligence Scientists (ICAIS 2026) was held in Beijing from October 17 to 19, under the theme "Back to the Origin of AI, Expanding Scientific Exploration." It brought together Nobel and Turing laureates and academicians. Liu Tieyan announced three core action plans, including a joint research center, support for young researchers, and an international AI scientists community, which was launched on October 17.
2021 Turing Award winner Jack Dongarra spoke at the Second International Conference on AI Scientists, saying AI will not make researchers unemployed but will drive progress. He noted AI cannot answer all questions or do everything, and encouraged continued study of mathematics and ongoing work.
At the AIIC 2026 main forum, Zhou Jun, chairman of Alexander Intelligent Technology, released GomROS-Brain, a brain-inspired architecture for the company's domestic robot operating system GomROS, detailing features including five brain-region mappings, sub-millisecond response via the Zhiyao high-speed bus, a 6MB minimal installation package, and deployment across more than 200 enterprises.
On October 15, the Hong Kong Monetary Authority announced the ART framework (Accountability, Resilience, Trust) to support the responsible adoption of artificial intelligence in banking. Measures include issuing a regulatory guideline on responsible AI use, building an AI training data sharing platform with Cyberport and the University of Hong Kong, and testing agentic AI through the GenA.I. Sandbox++ while publishing a related governance discussion paper.
From October 15 to 16, the Hong Kong Monetary Authority and Cyberport co-hosted the "Finance + A.I." forum, marking the successful conclusion of the second phase of GenAI sandbox testing. More than 60% of the use cases explored agentic artificial intelligence, reflecting the industry's active push to adopt advanced AI systems.
At the Dublin International AI Summit, Anthropic's international business lead said open-weight AI models are riskier than Anthropic's own models and that he cannot guarantee their safety. He cited the company's experience securing its products, warned that small AI models could soon drive new botnets, and called for slowing AI development until international standards and unified evaluation mechanisms are established. He also said continued investment in frontier models is worthwhile, noting Claude Opus 5.5 is 40% cheaper than earlier versions.
Shing-Tung Yau initiated the establishment of the Mathematics and Artificial Intelligence Laboratory Alliance with multiple mathematical research institutions, calling on more mathematicians to participate in AI research to enhance AI's mathematical reasoning capabilities. The alliance will gather over a thousand researchers to focus on mathematics-specific large models and AI-assisted mathematical proof.
On October 11, the Yau Mathematics and Artificial Intelligence Laboratory Alliance was established at Tsinghua University to promote deep integration of AI and mathematics, releasing over 10 key achievements and research directions in "AI+mathematics" involving scientific problems such as the degenerate Arnold conjecture, boundedness of minimal modifications, and 7-dimensional homotopy spheres, spanning geometry, quantum computing, and life sciences. AI mainly served as an assistant in exploring proof strategies, simplifying calculations, and providing inspiration.