IBM and NASA Trained the First Foundational Model for Heliophysics
Surya is a 366M-parameter model created by IBM and NASA to forecast solar activity, including flare events, solar winds, and precursors to solar eruptions, which can significantly impact astronaut safety in space as well as terrestrial systems such as communications, power distribution, and more.
Google Introduces VaultGemma: An Experimental Differentially Private LLM
VaultGemma is a 1B-parameter Gemma 2-based LLM that Google trained from scratch using differential privacy (DP) with the aim of preventing the model from memorizing and later regurgitating training data. While still a research model, VaultGemma could enable applications cases in healthcare, finance, legal, and other regulated sectors.
Google Stax Aims to Make AI Model Evaluation Accessible for Developers
Google Stax is a framework designed to replace subjective evaluations of AI models with an objective, data-driven, and repeatable process for measuring model output quality. Google says this will allow AI developers to tailor the evaluation process to their specific use cases rather than relying on generic benchmarks.
Dreamer 4: Learning to Achieve Goals from Offline Data Through Imagination Training
Researchers from DeepMind have described a new approach for teaching intelligent agents to solve complex, long-term tasks by training them exclusively on video footage rather than through direct interaction with the environment. Their new agent, called Dreamer 4, demonstrated the ability to mine diamonds playing Minecraft after being trained on videos, without ever actually playing the game.