Top news of the week: 20.08.2020.
Scientific method, Machine learning, Electrical engineering, Silicon Graphics, Role-playing, The Real World
Research
RT @jm_alexia: Story about a woman being laughed at in a machine learning seminar who is now doing AI research.
https://t.co/kMCFkVcRpC
OpenI sent an email to the professor who laughed me out of a machine learning seminar two years ago
34,943 votes and 1,151 comments so far on Reddit
How Duolingo uses AI in every part of its app
Duolingo uses AI and machine learning in various features of the app: Stories, Smart Tips, podcasts, reports, and even notifications.
RT @ZDNet: How Nvidia built Selene, the world's seventh-fastest computer, in three weeks https://t.co/YxvpAFPgHW by @stephcondoncbs
OpenHow Nvidia built Selene, the world's seventh-fastest computer, in three weeks
Using an open architecture that Nvidia shares with its customers, Nvidia raced to assemble a machine that powerful enough to assist in COVID-19 research but flexible enough for a wide range ...
RT @cgarciae88: Completely agree with this. @jeremyphoward pointed this out in @lexfridman's podcast. As an ML engineer its extremely frustrating, try finding literature for Tabular data (what most companies have), there is the Entity Embeddings paper and that is it.
https://t.co/tJyzCglJcz
OpenToo many AI researchers think real-world problems are not relevant
Any researcher who’s focused on applying machine learning to real-world problems has likely received a response like this one: “The authors present a solution for an original and highly ...
RT @VentureBeat: Facebook gamifies data collection to boost conversational AI https://t.co/jfGFXiILnT
OpenFacebook gamifies data collection to boost conversational AI
In a preprint paper, Facebook researchers propose a gamified approach to collecting data to train conversational AI models.
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks – Machine Learning Blog | ML@CMU | Carnegie Mellon University https://t.co/KuQNvsmvt7
OpenHigh-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Fig. 1: The central hypothesis: within a dataset with finite samples, there are correlations between the high-frequency component and the “semantic” component of the images. As a result, ...
RT @SiliconANGLE: Nvidia built its Selene supercomputer for coronavirus research in just 3 weeks https://t.co/BdKFL4aaNA
OpenNvidia built its Selene supercomputer for coronavirus research in just 3 weeks
Nvidia built its Selene supercomputer for coronavirus research in just 3 weeks - SiliconANGLE