Google DeepMind said on March 17, 2026 that it has published a new cognitive-science framework for evaluating progress toward AGI and launched a Kaggle hackathon to turn that framework into practical benchmarks. The proposal defines 10 cognitive abilities, recommends comparison against human baselines, and puts $200,000 behind community-built evaluations.
Google DeepMind said on X that it is launching a Kaggle hackathon with $200,000 in prizes to build new cognitive evaluations for AI. The linked Google post says the effort is part of a broader framework for measuring AGI progress across 10 cognitive abilities rather than a single benchmark.
Google DeepMind said on X that it is expanding AlphaFold Database with millions of AI-predicted protein complex structures in collaboration with EMBL-EBI, NVIDIA, and Seoul National University. The release pushes AlphaFold beyond single-protein structure prediction toward a broader public resource for studying how proteins interact.
Google DeepMind said on X that Gemini Embedding 2 is now in preview through the Gemini API and Vertex AI. The model is positioned as the first fully multimodal embedding model built on the Gemini architecture, aiming to unify retrieval across text, images, video, audio, and documents.
Google DeepMind announced Gemini 3.1 Flash-Lite on X on March 3, 2026. According to Google’s official post, the model is launching in preview with low per-token pricing and a speed-focused profile for high-volume developer workloads.
Google DeepMind's Aletheia AI research agent solved 6 out of 10 open research-level math problems in the FirstProof Challenge as judged by expert mathematicians. The system also generated a fully autonomous research paper and solved 4 open conjectures from Bloom's Erdős database.
Google DeepMind launched Nano Banana 2 (Gemini 3.1 Flash Image), a new image generation and editing model combining Pro-level quality with lightning-fast speed. It debuted at #1 in the Artificial Analysis Image Arena leaderboard.
Google DeepMind announced Gemini 3.1 Pro on February 19, 2026 as an upgraded core model for harder tasks. The company highlighted a verified 77.1% score on ARC-AGI-2 and broad rollout across developer, enterprise, and consumer surfaces.
On February 26, 2026 (UTC), Google DeepMind said on X that Nano Banana 2 can turn instructions into data-rich infographics and educational diagrams. The post also emphasized Gemini world knowledge and real-time web-grounded generation.
Google DeepMind posted on 2026-02-25 about Project Genie and linked a Q&A on world models. The post frames world models as environment simulators for agent training, education, and interactive media use cases.
Google DeepMind has opened applications for a Europe-focused robotics accelerator. The three-month program combines technical mentorship, product support, and potential cloud credits up to $350k for eligible startups.
Google DeepMind has released Gemini 3.1 Pro with over 2x reasoning performance versus Gemini 3 Pro. The model scores 77.1% on ARC-AGI-2 (up from 31.1%), 80.6% on SWE-bench Verified, and tops 12 of 18 tracked benchmarks at unchanged $2/$12 per million token pricing.