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We were honored to host Dr. Nadia Brancati(NRCI), for a guest seminar on May 28th! 🇮🇹
She shared incredible insights from her cutting-edge work in Computer Vision, Machine Learning, and Medical Imaging. Thank you for an inspiring talk! #ComputerVision# #MedicalAI# #MachineLearning#
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input costs of medical ai apps falling quickly
The child needed urgent medicalattention, and the mounted policerushed them to the hospitalimmediately#TrafficPolice# #Rescue# #Help#
Tether Unveils Medical AI That Runs on Phones, Outperforms Much Larger SoTA Models, and Can Cut the Cloud Out Entirely
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It is true that data is the biggest limitation for the progress of bio+medical AI
It is also true that interesting models with meaningful impact can be developed with already existing data sources.
Superior methodology beats raw parameter count. 🧠
Introducing QVAC MedPsy: Local-first medical AI that redefines the possible.
1/ Unprecedented Power: MedPsy 1.7B model outperforms Google’s MedGemma 4B by 11 points and our 4B model beats MedGemma 27B on real-world health benchmarks.
2/ Extreme Efficiency: 3.2x fewer tokens means near-instant inference on your phone or wearable.
3/ Absolute Privacy: Expert-level reasoning running 100% locally. No data leaves your device.
We aren’t simply shrinking models; we’re anchoring intelligence where it matters most.
High-level medical logic is now a sovereign right.
The future of healthcare is local.
Learn more:
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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:
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