Identifying New Materials with NLP with Anubhav Jain
Today we are joined by Anubhav Jain, Staff Scientist & Chemist at Lawrence Berkeley National Lab.
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On Saturday, February 2nd we’re launching our 3rd cohort of deep learning learners through the Fast.ai Practical Deep Learning for Coders Part 1 course. This study group will meet weekly on Saturdays at 9 am Pacific Time for seven weeks, each week covering a new lesson from the course. We love this course for its ability to have participants building world-class deep learning models right out of the gate, without getting bogged down in theory.
We’ve got an amazing TWIMLcon agenda taking shape for you! We’ll be announcing speakers and more agenda details shortly, but in the meantime I wanted to share a preview of some of the keynote interviews we’ve got planned. I’m super pumped about them! TWIMLcon: AI Platforms will feature live “keynote interview” podcast recordings with accomplished […]
A few weeks ago I had the opportunity to visit Siemens’ Spotlight on Innovation event in Orlando, Florida. The event aimed to bring together industry leaders, technologists, local government leaders, and other innovators for a real-world look at the way technologies like AI, cybersecurity, IoT, digital twin, and smart infrastructure are helping businesses and cities […]
Bits & Bytes Microsoft open sources Bing vector search. The company published its vector search toolkit, Space Partition Tree and Graph (SPTAG) [Github], which provides tools for building, searching and serving large scale vector indexes. Intel makes progress toward optical neural networks. A new article on the Intel AI blog (which opens with a reference to TWIML Talk #267 […]
Over the next few weeks on the podcast, we’re bringing you volume 2 of our AI Platforms series. You’ll recall that last fall we brought you AI Platforms Volume 1, featuring conversations with platform builders from Facebook, Airbnb, LinkedIn, Open AI, Shell and Comcast. This series turned out to be our most popular series of […]