Sebastian Raschka Launches a Deep Learning Course, NFL Wants ML to Predict Injuries, and Researchers Find 4 Sub-Phenotypes of Long COVID

A machine learning newsletter highlights Sebastian Raschka’s free, university-style deep learning course, which offers practical lessons, quizzes, code examples, and downloadable resources. Research coverage includes the NFL’s AWS-supported challenge to use machine learning and computer vision to analyze player contact and help prevent injuries, a Nature Medicine study identifying four reproducible long-COVID sub-phenotypes, and a privacy-preserving federated learning project using brain scans from 6,314 glioblastoma patients across 71 sites. Engineering updates feature Apple Music Sing’s on-device vocal reduction, Canva Docs’ generative AI tools based on Stable Diffusion and GPT-3, and Lightning’s Echo transcription app powered by OpenAI Whisper alongside new cloud logging features. Community projects include tools for remote-sensing segmentation, 3D machine learning, and Stable Diffusion fine-tuning, while the newsletter also notes upcoming 2023 submission deadlines for IJCAI, ACL, ICML, IROS, and ICCV.

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