Google DeepMind unveils Gemma 4 12B, a multimodal model that processes image and audio without separate encoders and runs on laptops with 16 GB of memory.
DeepMind has released DiffusionGemma, an experimental open model that generates blocks of text in parallel. It promises up to four times faster performance on local GPUs, albeit with lower overall quality than conventional Gemma models.
Google DeepMind introduces Gemma 4 12B, an open-weight model that integrates image and audio without separate encoders and, according to the company, fits systems with 16GB of VRAM or unified memory.
Google DeepMind has unveiled Genie 3, a model that generates navigable worlds at 24fps and 720p from text prompts, with consistent physics lasting several minutes. The company positions it as a key building block for training general-purpose agents.
Google DeepMind has unveiled Genie 3, a model that can create navigable environments from a text prompt at 720p and 24 frames per second. The company presents it as a simulator for training AI agents before they enter the real world.
DeepMind introduces AlphaGenome, a model that analyzes up to one million base pairs to estimate how genetic variants alter gene regulation. Its goal is to help interpret the 98% of the genome that does not code for proteins.
AlphaProof and AlphaGeometry 2 solved four of the six problems at the 2024 International Mathematical Olympiad. Their 28 points amounted to a silver medal, just one point short of the gold cutoff.
Google DeepMind and Isomorphic Labs have unveiled AlphaFold 3, which can predict complexes involving proteins, DNA, RNA and small molecules. The advance expands AI’s role in biology, although its results still require experimental validation.
Combining laboratories does not guarantee speed or safety. Integration is tested through authority, resources, product transfer and technical counterpower.
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