Bird-trained AI model helps decode underwater acoustic mysteries
Google Research repurposes an AI trained on bird calls to analyze ocean sounds, revealing unexpected underwater signals.
Frontier models, research results, agents, and developer tooling.
Google Research repurposes an AI trained on bird calls to analyze ocean sounds, revealing unexpected underwater signals.
New theoretical work from Google Research addresses how to maximize throughput when scheduling capacity changes over time.
A new AI/ML tool is introduced, but the announcement lacks specifics.
A Google Research project is applying machine perception to the challenge of interpreting maps.
Google Research outlines a framework for determining when and why multi-agent systems outperform simpler alternatives.
Google Research is exploring how to author, simulate, and test AI systems that take part in dynamic group conversations with multiple humans.
Google DeepMind has released an experimental research prototype that lets U.S. subscribers to Google AI Ultra create and explore worlds.
Daggr lets developers link applications in code while offering a visual way to inspect the resulting chains.
H Company's Holo2, a 235B-parameter model with 22B active parameters, is reported to take the lead in UI localization.
A detailed ablation analysis from Photoroom shows which training design decisions matter most for text-to-image models.
Google Research's GIST algorithm reduces the cost of sampling large datasets for machine learning by producing smaller, more representative training sets.
A new collaboration lets developers train AI models at no cost using Unsloth's optimization and Hugging Face's job infrastructure.
A practical retrospective from LinkedIn engineers details lessons from applying agentic reinforcement learning to GPT-OSS.
A Hugging Face analysis examines how Chinese open-source models are exploring architectural choices beyond DeepSeek's influence.
A new Google Research blog post outlines ATLAS, a framework aimed at practical scaling laws for multilingual model development.
Google DeepMind’s updated embodied reasoning model aims to strengthen real-world robotics by improving spatial reasoning and multi-view understanding.
A new framework from Google Research quantifies the gap between simulated and real user behavior, then uses that signal to improve the simulators.
Hugging Face's library now supports models that embed and rerank both text and images, making cross-modal retrieval more practical.