Try out https://t.co/DMd8ICDvei app from playstore to get a mouth screening. Mouth screening is an effective way to avoid tobacco related mouth diseases. #WorldNoTobaccoDay 💕
Interested in computational systems neuroscience? @neuro_kim recommends the lecture series from @MBLScience to learn more about circuits and system properties of the brain.
Watch them here: https://t.co/KGLYDWPpkT #AtHomeWithAI
We want YOUR help designing a Venus rover concept that can survive the planet's intense heat & crushing surface pressure. Join this challenge to develop an obstacle avoidance sensor for a possible future Venus rover. Submissions due May 29: https://t.co/vYf29U65o5 #NASAatHome
Happy women's day to all the amazing women out there. Also on this special day our developer team (consisting of only women) are beta launching our application. DM if you want early access to screen for oral cancer from home. #InternationalWomensDay#womenintech#oralhealth
The BigGAN generators from our paper https://t.co/QUYlE9IBsE are now available on TF Hub (https://t.co/GHM9pIgQPw). Try the Colab demo at: https://t.co/Ynyb9T9AAD
The multilingual BERT model is out now (earlier than anticipated). It covers 102 languages and features an extensive README motivating certain preprocessing and modelling choices.
https://t.co/wP4YdNesFg
In celebration to open sourcing Graph Networks, I assembled some slides (adapted from Yujia Li) which should serve as a nice tutorial -- feedback welcome!
Tutorial: https://t.co/3CYkzQWJA5
Open Source: https://t.co/Zz1ObzeUi3
Introducing the MAESTRO dataset (172 hours of aligned MIDI and audio piano performances) and Wave2Midi2Wave: a factorized approach to modeling and generating piano performances.
w/ @fjord41 Andriy Stasyuk @iansimon@huangcza@sedielem
Read 👉 https://t.co/Iz6GKbRulQ
Listen 👇
We are so proud to be a part of this great challenge and to have had the opportunity to actually meet the goals that were set and win the Water Abundance XPrize! Thanks again to @xprize and to our partners @skysourcewater@allpowerlabs and our sponsors @dfat_iXc @TataCompanies
Today we're open sourcing TRFL, a library of building blocks for reinforcement learning agents - containing key algorithmic components of many of our most successful RL agents.
GitHub: https://t.co/J6OTTyHlN9
Blog post: https://t.co/FE2RojT7zn