Google DeepMind
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8 months ago
Google DeepMind's advanced Gemini model with Deep Think solved five of six International Mathematical Olympiad problems, achieving a gold-medal score officially certified by IMO coordinators. The system scored 35 out of 42 points and completed all solutions within the competition's 4.5-hour time limit using only natural language, without requiring human translation into formal languages. This represents a significant advance over last year's AlphaProof and AlphaGeometry system, which solved four problems and required days of computation plus expert intervention to convert between natural and formal languages.
Google DeepMind
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8 months ago
Researchers released Aeneas, an AI model that helps historians interpret, restore, and contextualize fragmentary ancient Roman inscriptions by identifying textual and contextual parallels. The model was trained on a dataset of 176,000 Latin inscriptions and achieves 73% accuracy when restoring damaged text gaps up to ten characters and 72% accuracy in attributing inscriptions to one of 62 ancient Roman provinces. The tool is freely available to researchers and students at predictingthepast.com, with historians in testing reporting increased confidence and faster identification of parallel texts for their research.
Google DeepMind
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8 months ago
Google DeepMind released Genie 3, a world model that generates interactive 3D environments from text prompts with real-time user control. The system produces consistent 720p environments at 24 frames per second for several minutes of continuous interaction, with visual memory extending back one minute. This enables researchers to train AI agents in simulated worlds and create new applications for education, robotics training, and creative media production.
Google DeepMind
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8 months ago
Gemini 2.5 Deep Think solved 10 of 12 problems at the 2025 International Collegiate Programming Contest World Finals, achieving gold-medal level performance. The model completed 8 problems in 45 minutes and 2 additional problems within 3 hours, and was the only competitor to solve Problem C, which required optimizing liquid distribution through interconnected ducts. The result demonstrates AI capability in abstract reasoning and multi-step problem solving, with potential applications in software development, drug design, and microchip engineering.
