Meet Shah

31 posts

Meet Shah

Meet Shah

@meetshahdev

Research Engineer @GoogleDeepmind prev: @Waymo, @Uber_ATG, @metaai, @iitbombay

Mountain View, CA Katılım Şubat 2016
523 Takip Edilen178 Takipçiler
Meet Shah retweetledi
Yash Bhalgat
Yash Bhalgat@ysbhalgat·
Gemini Omni Flash is officially out! 🚀 It has been incredible working on the model pretraining, landing cool features in video editing, and pushing the 3D/camera capabilities in Omni. Seeing it live at #GoogleIO is surreal. 😍😇 Took countless days of no to little sleep. But sometimes it takes a little crazy to make something truly amazing. ✨✨✨ Go try it out! deepmind.google/models/gemini-… #googleemployee @GeminiApp @GoogleDeepMind #gemini #omni
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Ryu Tanno | 丹野 龍太郎
Ryu Tanno | 丹野 龍太郎@RyutaroTanno·
(1/10) Excited to share our new paper: "Towards Conversational Medical AI with Eyes, Ears and a Voice" arxiv.org/abs/2605.09272 Clinical medicine depends on more than words; it relies on real-time visual cues (rashes, distress, gait), auditory signals (prosody, breathing), and guided physical exams (e.g., guiding someone through correcting their inhaler technique, or walking them through shoulder maneuvers to work up a rotator cuff injury). But existing conversational medical AI systems are blind and deaf to this crucial information and are constrained to rigid, turn-by-turn user experience. As an important ingredient in AI co-clinician, our new healthcare initiative at @GoogleDeepMind, we developed a first-of-its-kind real-time multimodal system that conducts natural clinical consultations over video calls while continuously watching, listening, and reasoning. The preprint details the research progress we’ve made so far together with our collaborators at @StanfordMed and @harvardmed (@AdamRodmanMD @euanashley @DrJackOSullivan @jasongusdorf). More details below!
Ryu Tanno | 丹野 龍太郎 tweet media
Alan Karthikesalingam@alan_karthi

Since joining @GoogleDeepMind I’ve dreamt for a decade that AI can give clinicians superpowers: amplifying reach as an always-available, trustworthy member of the care team. Delighted to share our strategic research initiative at @GoogleDeepMind towards this vision: AI co-clinician deepmind.google/blog/ai-co-cli… (1/n)

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Meet Shah@meetshahdev·
@BIDMChealth @StanfordMed 9/ We are currently in a phased research approach with global collaborators ( 🇺🇸 🇦🇺 🇳🇿 🇦🇪 🇸🇬 🇮🇳) to ensure this is developed responsibly. Huge congratulations to everyone on the team and our partners for making this possible.
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Meet Shah
Meet Shah@meetshahdev·
@BIDMChealth @StanfordMed 8/ We utilize a dual-agent architecture to decouple fluid multimodal interaction from deep clinical reasoning. A low-latency "Talker" handles empathetic dialogue, while a supervisory "Clinical Planner" monitors the encounter state.
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Meet Shah
Meet Shah@meetshahdev·
1/ Introducing AI co-clinician: latest research milestone I’ve been a part of at @GoogleDeepmind, researching the evolution of care delivery where AI can support both patients & doctors. tech report: gstatic.com/vesper/ai_cocl… blogpost: deepmind.google/blog/ai-co-cli…
Google DeepMind@GoogleDeepMind

AI co-clinician is our new research initiative to help explore how multimodal agents could better support healthcare workers and patients. 🩺 Here’s a snapshot of our progress 🧵

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Meet Shah retweetledi
Google DeepMind
Google DeepMind@GoogleDeepMind·
AI co-clinician is our new research initiative to help explore how multimodal agents could better support healthcare workers and patients. 🩺 Here’s a snapshot of our progress 🧵
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Pushmeet Kohli
Pushmeet Kohli@pushmeet·
I am happy to introduce AI co-clinician, @GoogleDeepMind's research initiative to explore how AI could better amplify doctor's expertise and help deliver higher quality care to patients. We’re excited about our early results, and are taking a phased approach to our research explorations with academic and research collaborators. Read more in our blog: deepmind.google/blog/ai-co-cli…
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Meet Shah@meetshahdev·
@debarghya_das This is very likely incorrect. 80K seems like total EB-1 approvals since 2012 [1]. 70K approved in one quarter means ~1076/day. That's unlikely as only 5-6 officers across 2 centers adjudicate the petitions. [1]: trackitt.com/usa-discussion…
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Deedy
Deedy@deedydas·
USCIS just published their 2023 Q4 backlog data and for the first time ever.. India's added 70,000 approved EB-1 applicants to the backlog in a quarter! That's 2x EB-2 + EB-3 Indian applicants, which is unheard of. There are usually < 10,000 Indian EB-1 approvals a YEAR.
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Devi Parikh
Devi Parikh@deviparikh·
Anyone interested in vision and language (VQA, TextVQA, etc.) should check this out! For those of you familiar with it, this is Pythia with a major rewrite. Crazy amounts of amazing work by @apsdehal and @vedanujg! Try it and share feedback!
PyTorch@PyTorch

MMF is a modular framework for vision & language multimodal research. This tutorial walks through how to use a pretrained model or build a custom model with MMF to participate in the Hateful Memes Challenge. bit.ly/a-multimodal-f…

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Andrej Karpathy
Andrej Karpathy@karpathy·
One (of many) amusing socially awkward remote conference call interactions is when the speaker makes a joke. Everyone is mutated so it seems like it awkwardly falls flat, and noone wants to unmute just to say "haha". Calls still need many more features to bridge the real life gap
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Meet Shah
Meet Shah@meetshahdev·
@kdexd If I had a dollar for everytime some conference paper used my framework without citing it 🙃.
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Meet Shah
Meet Shah@meetshahdev·
@kdexd Ever typed bc in a terminal? ;)
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Karan Desai (KD)
Karan Desai (KD)@kdexd·
TIL: In `if [ cond ]; then` of bash, `[` is a command and `]` is one of its args. Running `which [` gave me `/usr/bin/[` WTF?!
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Abhishek Das
Abhishek Das@abhshkdz·
Is it even a real deadline if Overleaf doesn't go down? #CVPR2020
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Meet Shah retweetledi
Amanpreet Singh
Amanpreet Singh@apsdehal·
VQA is consistently seeing tremendous progress year by year. Excited to see further progress as we now focus on specific sets of problems (reading text, consistency, external knowledge etc.). Planning research on V+L? Do have a look at Pythia github.com/facebookresear…
Devi Parikh@deviparikh

VQA performance on a standard benchmark (VQA v2 dataset) has gone up 20% (absolute) in the last ~4 years. You can really tell the difference when interacting with these models! Check the VQA demo out here: vqa.cloudcv.org.

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