Ted Yun (@tedyun) 's Twitter Profile
Ted Yun

@tedyun

Machine Learning @GoogleDeepMind @GoogleAI @GoogleHealth / Mathematics / Computer Science / MIT / KAIST / Piano / Street Photography. All views are personal.

ID: 51997899

calendar_today29-06-2009 08:07:39

870 Tweet

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Andrew Carroll (@acarroll_atg) 's Twitter Profile Photo

Excited to share new phenotyping methods for COPD, improving COPD GWAS Collaborative work with IU and BWH, co-authors Justin Cosentino, B Besaz , @babak_alipanahi, Z McCaw, last author Farhad Hormozdiari, eng manager C McLean. Paper: medrxiv.org/content/10.110… Code: github.com/Google-Health/…

Incunabula (@incunabula) 's Twitter Profile Photo

The Tripitaka Koreana - carved on 81258 woodblocks in the 13th century - is the most successful large data transfer over time yet achieved by humankind. 52 million characters of information, transmitted over nearly 8 centuries with zero data loss - an unequalled achievement. 1/

The Tripitaka Koreana -  carved on 81258 woodblocks in the 13th century - is the most successful large data transfer over time yet achieved by humankind. 52 million characters of information, transmitted over nearly 8 centuries with zero data loss - an unequalled achievement.  1/
The Nobel Prize (@nobelprize) 's Twitter Profile Photo

BREAKING NEWS: The 2022 #NobelPrize in Physiology or Medicine has been awarded to Svante Pääbo “for his discoveries concerning the genomes of extinct hominins and human evolution.”

BREAKING NEWS: 
The 2022 #NobelPrize in Physiology or Medicine has been awarded to Svante Pääbo “for his discoveries concerning the genomes of extinct hominins and human evolution.”
Google DeepMind (@googledeepmind) 's Twitter Profile Photo

Today in nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: dpmd.ai/dm-alpha-tensor & dpmd.ai/nature-alpha-t… 1/

Alhussein Fawzi (@alhusseinfawzi) 's Twitter Profile Photo

Excited to share our paper in nature: We revisit the 50+ year-old maths problem with AI: how efficiently can we multiply two matrices? Surprisingly, the answer is still not known - even for 3x3 matrices! With AI, we discover many new efficient and exact algorithms. 1/13

Stephen Shankland (@stshank) 's Twitter Profile Photo

Is the Pixel 7 Pro as good as a "real" camera? With Made by Google bragging of its "pro-level zoom" and AI smarts, I wanted to see how close it got to my $10,000 of DSLR gear. Answer: closer than any other phone. Here's my assessment & a thread. 1/ cnet.com/tech/mobile/i-…

Is the Pixel 7 Pro as good as a "real" camera? With <a href="/madebygoogle/">Made by Google</a> bragging of its "pro-level zoom" and AI smarts, I  wanted to see how close it got to my $10,000 of DSLR gear. Answer: closer than any other phone. Here's my assessment &amp; a thread. 1/ cnet.com/tech/mobile/i-…
Waymo (@waymo) 's Twitter Profile Photo

SF, who’s ready to ride? 🚘🤖 After receiving the driverless pilot permit from the California PUC, Waymo One is opening to members of the public in San Francisco. Available 24/7—without anyone in the driver’s seat: cpuc.ca.gov/news-and-updat…

Google AI (@googleai) 's Twitter Profile Photo

Have you ever wanted a guide that explains how to maximize results with #DeepLearning? Introducing The Deep Learning Tuning Playbook, which describes a systematic approach to training and tuning neural networks. Check it out ↓ goo.gle/3QVnqG2

Justin Cosentino (@cosentiyes) 's Twitter Profile Photo

Our recent Google Health AI Genomics work showing that deep learning approaches identify new genetic loci and improve risk models for chronic obstructive pulmonary disease (COPD) was published today in Nature Genetics ! Paper: rdcu.be/c96zx Code: github.com/Google-Health/…

Our recent <a href="/GoogleHealth/">Google Health</a> AI Genomics work showing that deep learning approaches identify new genetic loci and improve risk models for chronic obstructive pulmonary disease (COPD) was published today in <a href="/NatureGenet/">Nature Genetics</a> !

Paper: rdcu.be/c96zx
Code: github.com/Google-Health/…
Andrew Carroll (@acarroll_atg) 's Twitter Profile Photo

We’re excited to describe new Google Health work that makes phenotyping more scalable. An unsupervised deep learning method, REpresentation learning for Genetic discovery on Low-dimensional Embeddings (REGLE), to perform GWAS on high-dimensional clinical data.

Google AI (@googleai) 's Twitter Profile Photo

Yesterday’s Research@ Seoul event was a success — Google Researchers led lightning talks on ML fairness, Genomics, Materials Science, Generative AI in Search, & Quantum. We're grateful to them for presenting their work & fueling progress in the field!

Yesterday’s Research@ Seoul event was a success — Google Researchers led lightning talks on ML fairness, Genomics, Materials Science, Generative AI in Search, &amp; Quantum. We're grateful to them for presenting their work &amp; fueling progress in the field!
Google AI (@googleai) 's Twitter Profile Photo

The demos from Research@Korea also showcased Google Researchers’ work across important topics like ML fairness, Genomics, Materials Science, Generative AI in Search, and Quantum. Dive deeper into the work of our researchers here → goo.gle/48Wi2e9

The demos from Research@Korea also showcased Google Researchers’ work across important topics like ML fairness, Genomics, Materials Science, Generative AI in Search, and Quantum. Dive deeper into the work of our researchers here →  goo.gle/48Wi2e9
Google AI (@googleai) 's Twitter Profile Photo

REGLE, a new method to understanding the genetic basis of organ function, leverages high-dimensional clinical data, requires no disease labels, and can incorporate expert-defined knowledge to reveal deeper insights into how our organs work. Learn more → goo.gle/3y5UdD7

REGLE, a new method to understanding the genetic basis of organ function, leverages high-dimensional clinical data, requires no disease labels, and can incorporate expert-defined knowledge to reveal deeper insights into how our organs work. Learn more → goo.gle/3y5UdD7
Google DeepMind (@googledeepmind) 's Twitter Profile Photo

An advanced version of Gemini with Deep Think has officially achieved gold medal-level performance at the International Mathematical Olympiad. 🥇 It solved 5️⃣ out of 6️⃣ exceptionally difficult problems, involving algebra, combinatorics, geometry and number theory. Here’s how 🧵

An advanced version of Gemini with Deep Think has officially achieved gold medal-level performance at the International Mathematical Olympiad. 🥇

It solved 5️⃣ out of 6️⃣ exceptionally difficult problems, involving algebra, combinatorics, geometry and number theory. Here’s how 🧵
Thang Luong (@lmthang) 's Twitter Profile Photo

Very excited to share that an advanced version of Gemini Deep Think is the first to have achieved gold-medal level in the International Mathematical Olympiad! 🏆, solving five out of six problems perfectly, as verified by the IMO organizers! It’s been a wild run to lead this

Very excited to share that an advanced version of Gemini Deep Think is the first to have achieved gold-medal level in the International Mathematical Olympiad! 🏆, solving five out of six problems perfectly, as verified by the IMO organizers! It’s been a wild run to lead this