Introducing SensorFM, a large-scale Sensor Foundation Model that learns from 1 trillion-minutes of unlabeled wearable data drawn from five million consented participants.
SensorFM learns a single, reusable representation of sensed human physiology that transfers across cardiovascular, metabolic, sleep, and mental health, as well as lifestyle and demographic factors.
More →https://t.co/lbi1DG0zAW
Introducing TabFM, a foundation model designed specifically for tabular data classification & regression. This approach allows generation of high-quality predictions on previously unseen tables in a single forward pass.
Learn more and try out the model →https://t.co/OTbVQ8oUQs
New @Nature publication from @GoogleResearch & @GoogleDeepMind: In this study, we advance AMIE, our research medical AI, from one-off diagnostic conversations toward treating & managing disease over time, using clinical guidelines & drug formularies. More: https://t.co/SN8jqdYy10
Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini 🚀
Today, we’re sharing the @GoogleDeepMind white paper for GE 2, our first native multimodal embedding model. Whether it’s text, audio, video, or image, GE 2 provides a unified representation of the input.
@donocooperativa De qualquer forma parece-me que há uma dupla falha: incapacidade do país em aumentar a sua produtividade e em simultâneo incapacidade de fomentar a natalidade.