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Yossi Matias
@ymatias
VP Google Research. Leads Health AI, Climate Crisis AI. Conv. AI innovations. Founding MD G Israel Center. Duplex, Trends, Autocomplete, Call Screen,..
Googleyossimatias.netJoined May 2009
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1,233 Followers

Yossi Matias’s Tweets

Yossi Matias Retweeted
Jeff Dean (@🏡)
@JeffDean
A good but depressing visualization.
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Prof. Eliot Jacobson
@EliotJacobson
This image charts the variation in daily Arctic sea-ice extent, 1979-present (JAXA data). Each day's extent is compared to the 44-year average extent for that same day, and colored a shade corresponding to the difference. Blue = above average White = average Red = below average
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Yossi Matias
@ymatias
We’re using AI and satellite imagery to detect wildfire boundaries with greater accuracy and provide near-real time updates, to help people stay safe even when fires spread unpredictably.
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Google AI
@GoogleAI
Learn how applying ML to satellite imagery enabled us to expand our wildfire tracker, which now provides more accurate real-time fire boundary updates every 10–15 minutes to help affected people in times of crisis. Read more → goo.gle/3DI7Zvh
The progressing boundary of the 2022 McKinney fire, and a smaller nearby fire.
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Yossi Matias
@ymatias
Exciting progress in research on language models, computer vision, multimodal models and generative ML!
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Jeff Dean (@🏡)
@JeffDean
Excited to share the first of a series of @GoogleAI blog posts summarizing our research work from 2022. This covers language & multimodal models, computer vision, and generative models. We'll have ~7 posts covering other areas over next few weeks! ai.googleblog.com/2023/01/google
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Yossi Matias
@ymatias
I'm proud of the work of my Health AI team on early detection of breast cancer and the partnership with
@icadmed
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Google
@Google
Early detection of breast cancer can save lives. Learn more about how we're using AI to improve the accuracy and expand the availability of breast cancer screenings for people around the world with @icadmed ↓ blog.google/technology/ai/
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Yossi Matias Retweeted
Andrew Carroll
@acarroll_ATG
Release of DeepConsensus v1.1. Increased yield of telomeric reads by refining training to T2T mappable regions. Improved accuracy, increasing >Q30 reads by 194% of pbccs baseline vs 184% in v1.0. Extended training tutorial. Release led by
@belyaeva_ana
.
github.com
Release DeepConsensus 1.1.0 · google/deepconsensus
DeepConsensus v1.1 introduces a new model that improves coverage of telomere regions achieved through improved filtering of the training data with CHM13 high confidence regions. Improved yield at e...
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Yossi Matias
@ymatias
Progress in providing tools for easier communication.
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Google AI
@GoogleAI
Following years of research featuring thousands of people who recorded over a million speech samples, we released Project Relate in beta. This Android app uses machine learning to offer personalized speech recognition for non-standard speakers. g.co/projectrelate
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Yossi Matias Retweeted
Alan Karthikesalingam
@alan_karthi
💡New paper - Large Language Models Encode Clinical Knowledge💡 Our work
@GoogleHealth
@GoogleAI
@DeepMind
advances state-of-art in 7 medical question-answering tasks - including achieving 67% on MedQA (USMLE qs) improving prior work by >17% arxiv.org/abs/2212.13138 1/n
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Vivek Natarajan
@vivnat
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Delighted to share our new @GoogleHealth @GoogleAI @Deepmind paper at the intersection of LLMs + health. Our LLMs building on Flan-PaLM reach SOTA on multiple medical question answering datasets including 67.6% on MedQA USMLE (+17% over prior work). arxiv.org/abs/2212.13138
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Yossi Matias
@ymatias
Recent results on LLMs and question answering in health - improvements and more work ahead
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Vivek Natarajan
@vivnat
Delighted to share our new @GoogleHealth @GoogleAI @Deepmind paper at the intersection of LLMs + health. Our LLMs building on Flan-PaLM reach SOTA on multiple medical question answering datasets including 67.6% on MedQA USMLE (+17% over prior work). arxiv.org/abs/2212.13138
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Yossi Matias Retweeted
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Google AI
@GoogleAI
To make models that are universally helpful & accessible, they need to reflect the diversity of world languages. Today, we’re announcing the 1000 Languages Initiative, an ambitious research project to build an AI model that will support the top 1,000 languages of the world (3/3)
A illustration of a green globe rotating. Chat bubbles appear in different colors, reading “hello”, “hola”, “hamjambo” and “こんにちは” respectively.
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Yossi Matias Retweeted
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Google Health
@GoogleHealth
We are so excited to be at #HLTH2022 this year! Looking forward to strong discussions and even stronger connections as we continue our mission to transform the future of health.
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HLTH
@HLTHEVENT
We're excited @GoogleHealth is joining us at #HLTH2022 as a title sponsor! 🎉🎉🎉 Google is a global technology company specializes in internet-related services and products. Learn more: ow.ly/1eBT50Lpyye #healthcareinnovation #healthinnovation #healthcare
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Yossi Matias
@ymatias
Proud to share the work of my Research team, teams across Google, and the partners, organizations and startups we collaborate with, as we use AI to address the climate crisis
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Google
@Google
Communities around the world are facing the effects of climate change — from floods to food insecurity. As leaders gather at #COP27, @ymatias shares some of the technologies we're investing in to help us prepare for and address climate threats together ↓ blog.google/outreach-initi
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Yossi Matias
@ymatias
Our Health AI team is also working to make maternal healthcare more accessible to all
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Google AI
@GoogleAI
In partnership with @NorthwesternMed, we’re developing a low-cost AI ultrasound device that can determine critical details of a pregnancy and detect issues early. This will support nurses and midwives in regions without sonographers → goo.gle/3TV59Jo. (4/5)
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Yossi Matias
@ymatias
Happy to share today that our wildfire detection is live in the US, Canada, Mexico, and parts of Australia
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Google AI
@GoogleAI
We’ve trained ML models using satellite imagery to identify and track wildfires in real time and predict how they will evolve to support first responders.(youtu.be/1EkV5NPKXUc) We're announcing our wildfire detection system now works in the US, CAN, MX and parts of AUS.(3/5)
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A GIF shows the results of a Google Search for “Goat Rocks fire” on a mobile device. The graphic scrolls down the page to show a map of the wildfire affected area with details on date, time, and links to learn more about fire areas and where to find help and information.
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Yossi Matias
@ymatias
Our Health AI team is working to detect diabetic retinopathy which can cause blindness and is treatable once detected #healthai
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Google AI
@GoogleAI
We’ve employed automated retinal disease assessments (ARDA) to screen 150,000+ patients. We are evolving this technology to work with a photo of an eye taken on a consumer camera, which will unlock screening for anyone with a smartphone camera. (5/5) goo.gle/3TV59Jo
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Yossi Matias Retweeted
Jeff Dean (@🏡)
@JeffDean
I'm excited to see our
@GoogleAI
researchers share how Google’s AI technologies can help people, particularly to stay safe, better connect, and be creatively inspired. Join us on Nov 2nd to watch AI@ live!
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Google AI
@GoogleAI
On Nov 2 at 9am EST, we're excited to host our first AI@ event: a showcase of our latest and greatest work in AI. Tune in live to hear exciting updates in the fields of robotics, language processing, health, creativity & more #GoogleAI We'll be here ➡️ youtube.com/googleresearch
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Yossi Matias Retweeted
Jeff Dean (@🏡)
@JeffDean
If you're at #ECCV2022 (virtually or physically),
@GoogleAI
researchers that are also attending would be happy to chat with you (about their work, your work, career advice, and many other topics!). See below for list of 60+ accepted Google-affiliated papers + workshops/tutorials.
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Google AI
@GoogleAI
Attending #ECCV2022 this year? Googlers are supporting a variety of workshops on vision related technologies. Learn more at goo.gle/3SsgA9V and come join in the discussions!
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Yossi Matias Retweeted
Amy C. Chou
@AmyCChou
Honored to share our team's latest publication, published in npj Breast Cancer: "Deep learning models for histologic grading of breast cancer and association with disease prognosis" Congratulations to all involved!
nature.com
Deep learning models for histologic grading of breast cancer and association with disease prognosis
npj Breast Cancer - Deep learning models for histologic grading of breast cancer and association with disease prognosis
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Yossi Matias Retweeted
Zoubin Ghahramani
@ZoubinGhahrama1
@GoogleAI
and
@emblebi
release 40 million annotations of previously uncharacterized proteins in the UniProt database! The #ProtNLM natural language model that generated these high accuracy functional annotations will advance biology and medicine. Congrats to the teams involved!
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EMBL-EBI
@emblebi
Ever got a result back saying uncharacterised protein? 😩 @uniprot and @GoogleAI have teamed up to create a natural language processing model that has generated over 40 million protein annotations to address this challenge. ebi.ac.uk/about/news/tec
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