Predicting Veteran Homelessness with Machine Learning

Our 96th episode with a summary and discussion of last week's big AI news!

Sponsor: This episode is sponsored by Zencastr, our go-to tool for recording the podcast. It is super easy to use, and there is nothing to download. Go to http://zen.ai/lastweekinai and get 30% off your first three months with a PRO account!

Outline:

• (00:00) Intro
• (01:36) Wearable, AI-powered whole-breast ultrasound system cleared by the FDA + FDA plays tooth fairy, awards clearance to VideaHealth's cavity-spotting AI 
• (06:40) Another Firing Among Google’s A.I. Brain Trust, and More Discord 
• (12:30) AI Model Can Accurately Detect Multiple Retinal Diseases in Real Time
• (12:50) Intel wins DARPA RACER-Sim program
• (14:00) Mayo researchers use AI to detect weak heart pump via patients' Apple Watch ECGs
• (17:50) Tsinghua U & BAAI’s CogView2 Achieves SOTA Competitive Text-to-Image Generation With 10x Speedups 
• (23:13) In The Latest Research From The University Of Toronto, Machine learning-Based Approach Speeds Up The Counting Of Microplastics - 
• (23:52) Northeastern U & Microsoft Expand StyleGAN’s Latent Space to Surpass the SOTA on Real Face Semantic Editing 
• (24:55) Microsoft AI Researchers Develop MoLeR: A Deep Learning-Based Generative Model That Enables Efficient Drug Design 
• (26:50) Ad break
• (28:40) UK Regulators' Path for AI Starts with Auditing Algorithms 
• (32:16) A unique machine-learning model predicts homelessness among US soldiers before their transition to civilian life
• (35:45) Researchers Taught A.I. to Write Wine and Beer Reviews and They're Pretty Convincing
• (39:33) T-SNE to view and order your Spotify tracks
• (42:40) What’s New in Spot | Boston Dynamics
• (44:17) Outro