Here's a dialogue where a user is trying to better understand a surgical procedure demonstrated in a video.
@jeffdean
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Med-Gemini-M Analyzes Laparoscopic Surgery Video for Safety Assessment
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Here's one example of assessing a Med-Gemini-M 1.5 analyzing a video clip from the Cholec80 dataset to assess achievement of the Critical View of Safety (CVS) during a laparoscopic cholecystectomy.
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Med-Gemini Achieves State-of-the-Art Medical Task Results
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The multimodal capabilities of the base Gemini models shine in evaluation of multimodal medical tasks in Med-Gemini, showing state-of-the-art results in 5 of the 8 benchmarks we examined.
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Med-Gemini Outperforms Human Experts in Medical Text Tasks
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Med-Gemini results are preferred over human expert results on long-form text-based tasks like medical summarization, doctor referral generation, and medical simplification (where the goal is to generate a plain language summary that can be understood by most readers without a
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Med-Gemini Advances Clinical Diagnosis on NEJM Benchmark
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On the NEJM CPC benchmark (an open-ended diagnosis task), the input is a text-based, challenging clinico-pathological case (CPC) report, and the output is a differential diagnosis list, comprising 10 potential diagnoses. The Med-Gemini model does well on its own and improves
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Med-Gemini-L 1.0 Achieves State-of-the-Art Medical Reasoning Performance
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The Med-Gemini-L 1.0 model is state-of-the-art on 10 of the 16 text-based medical reasoning tasks that we looked at.
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Spherical Deep Learning Outperforms Flat Space Models
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Some well-rounded results: @GoogleResearch work shows that deep learning on a sphere — instead of flat space — is superior for things like prediction of weather & molecular properties.
— Jeff Dean (@JeffDean) 4 octobre 2023
Consider spherical surfaces (much better than pretending the world is flat!). See JAX code! https://t.co/8Q0msyJDcC pic.twitter.com/uGzb4piHYQSome well-rounded results: @GoogleResearch work shows that deep learning on a sphere — instead of flat space — is superior for things like prediction of weather & molecular properties. Consider spherical surfaces (much better than pretending the world is flat!). See JAX code!
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Google Maps Eco-Friendly Routing: Methodology and Sustainability Report
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In addition to the link that @danbri pointed at, there's a more detailed report on eco-friendly routing here: https://
gstatic.com/gumdrop/sustai
nability/google-maps-eco-friendly-routing.pdf
… In particular, it has some methodological details about how this is calculated. -
Google’s AI Impact: 500M Users, Healthcare Screening, Translation
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So many fun numbers: 15: Google products w/500M+ users 250,000: patients screened for diabetic retinopathy 133: languages Google Translate supports. 1.2 million: tons of CO2 emissions that eco-friendly routing on Google Maps has helped prevent +more
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Google supports FIRST robotics education programs for high school students
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As the father of two daughters who participated on @FIRSTweets teams in high school (the older one continued her excitement around robotics & just finished her PhD in robotics and ML a couple of months ago), I'm very happy to see @Googleorg supporting robotics participation!