Ted Yun
@tedyun
Machine Learning @GoogleDeepMind @GoogleAI @GoogleHealth / Mathematics / Computer Science / MIT / KAIST / Piano / Street Photography. All views are personal.
ID: 51997899
29-06-2009 08:07:39
870 Tweet
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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/…
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-…
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…
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/…
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.