Google Research

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SensorFM: Towards a general intelligence and interface for wearable health data

Google Research has introduced SensorFM, a foundation model designed to act as a general intelligence interface for analyzing wearable health data.

Google Research published work exploring algorithmic and collaborative approaches to mitigating traffic congestion.

Google Research has expanded its heat resilience data project to cover more than fifty cities globally to help combat climate change challenges.

Google Research has introduced TabFM, a new zero-shot foundation model designed specifically for managing and analyzing tabular data.

Google researchers have developed a method to accelerate Gemini Nano models on Pixel devices using frozen multi-token prediction.

Google researchers proposed a linear elastic caching algorithm to optimize cloud computing economics.

Google Research has explored how reasoning mechanisms can help large language models better access and utilize their stored parametric knowledge.

Google Research has introduced Earth AI tools designed to assist in nature restoration and environmental planning by analyzing geospatial data.

Google Research is investigating how artificial intelligence models can assist users in identifying and understanding various skin conditions.

Google Research has proposed a low-carbon computing platform that repurposes retired smartphones to handle distributed computational tasks.