TurboQuant: Redefining AI efficiency with extreme compression
Google Research released TurboQuant, compressing the KV cache to three bits without loss of model accuracy or training and fine-tuning, alongside the QJL and PolarQuant methods.
Google / Gemini
All topicsAI at Google and DeepMind: the Gemini models, the Veo video models, research results and the product family.
146selectedRelated topicsOpenAI / ChatGPTAnthropic / ClaudeMultimodal
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141–146 of 146Mar 25
Mar 18
Improving breast cancer screening workflows with machine learning
The AIMS collaboration between Google Research and several NHS organisations published two companion studies in Nature Cancer evaluating an AI breast cancer detection system within NHS screening workflows.
Mar 12
Protecting cities with AI-driven flash flood forecasting
Google introduced urban flash-flood forecasts on Flood Hub, using a new AI approach to predict risks in urban areas up to 24 hours ahead.
Introducing Groundsource: Turning news reports into data with Gemini
Google Research launched Groundsource, using Gemini to extract structured historical disaster data from global news. Its first open dataset contains 2.6 million urban flash-flood records across over 150 countries, spanning 2000 to the present.
Exploring the feasibility of conversational diagnostic AI in a real-world clinical study
Google Research and Beth Israel Deaconess Medical Center conducted a prospective, single-centre feasibility study in which AMIE held text consultations with patients before outpatient primary care visits, under live physician supervision by video.
Mar 7
WAXAL: A large-scale open resource for African language speech technology
Google Research released WAXAL, a large open speech dataset initially covering 27 sub-Saharan African languages spoken by more than 100 million people, under CC-BY-4.0.