Google Research released TabFM on July 1, a foundation model for tabular data that achieves zero-shot classification and regression with no training or hyperparameter tuning, beating Optuna-tuned XGBo…
Google Research published a first-of-its-kind national-scale study (n=13,917) showing that a conversational AI agent powered by Gemini Flash 2.0 can conduct end-to-end symptom interviews and different…
Google Quantum AI researchers Volodymyr Sivak and Paul Klimov demonstrated that a quantum computer can continuously adapt to drift and remain stable during long computations by integrating reinforceme…
Google Research tested 180 agent configurations across five architectures and found that multi-agent graph variants degraded performance by 39–70% on sequential reasoning tasks while boosting parallel…
Researchers from Stanford University, ETH Zurich, and other institutions introduced OpenTSLM, a family of time-series language models that process raw multivariate signals alongside text, outperformin…
Google Research released TimesFM 2.5, a decoder-only foundation model for time series forecasting, with 10,000 GitHub stars and support for installation, fine-tuning, and real-world applications. The …
A diffusion model's creativity is a mathematical consequence of neural networks learning a 'smoothed' version of the score function, driving the model to interpolate between training data points along…
Four months after Google Research and DeepMind published TurboQuant, a training-free algorithm suite claiming 6x memory reduction for KV cache, the promised official code has not shipped. Instead, the…
Google Research's SensorFM, a foundation model trained on over a trillion minutes of Fitbit and Pixel Watch data from five million users, beats existing benchmarks on 34 of 35 health and behavioral ta…
Google Research's SensorFM, a foundation model trained on over a trillion minutes of wearable data from five million Fitbit and Pixel Watch users, outperforms existing benchmarks on 34 of 35 health an…
Google Research introduced TabFM, a foundation model that treats tabular data predictions as an in-context learning problem, enabling predictions via a simple API call without traditional model traini…
Octochains, a zero-dependency Python framework for parallel, isolated multi-agent reasoning and consensus, has been released. It executes domain specialists in parallel isolated threads to prevent cog…
Google Research, Google DeepMind, and university collaborators introduced SensorFM, a wearable health foundation model pretrained on over one trillion minutes of unlabeled sensor data from 5 million p…
Google Research introduced SensorFM on July 9, 2026, a foundation model pre-trained on over one trillion minutes of de-identified wearable sensor data from five million participants. The model, which …
Researchers at EPFL and Google Research developed Cells2Pixels, a neural cellular automata model that achieves an 8x resolution boost by treating cells as local neural fields rather than pixels. The m…
Google Research introduced SensorFM on July 9th, a wearable health foundation model trained on over one trillion minutes of sensor data from five million consented Fitbit and Pixel Watch users. The mo…
Google Research published a study showing that modifying its Maps routing algorithm to reroute a small share of trips away from congested segments improved median driving speeds by about 2% and reduce…
Earth Fire Alliance launched its first three operational FireSat satellites, combining multispectral sensing with AI analysis to detect wildfires earlier and build a global dataset. The system, suppor…
A developer built PA-Trace, an on-device agentic workflow using Google's MedGemma model to automate prior-authorization documentation for imaging orders. The system extracts evidence from clinic notes…
Google Research is using AI to accelerate scientific discovery across genomics, neuroscience, epidemiology and climate science, according to Lizzie Dorfman, who leads science AI at the company. Dorfma…