{"id":5647019,"date":"2022-12-09T13:53:57","date_gmt":"2022-12-09T18:53:57","guid":{"rendered":"https:\/\/lightning.ai\/pages\/?p=5647019"},"modified":"2022-12-09T14:29:25","modified_gmt":"2022-12-09T19:29:25","slug":"sebastian-raschka-launches-a-deep-learning-course-nfl-wants-ml-to-predict-injuries-and-researchers-find-4-sub-phenotypes-of-long-covid","status":"publish","type":"post","link":"https:\/\/lightning.ai\/pages\/community\/sebastian-raschka-launches-a-deep-learning-course-nfl-wants-ml-to-predict-injuries-and-researchers-find-4-sub-phenotypes-of-long-covid\/","title":{"rendered":"Sebastian Raschka Launches a Deep Learning Course, NFL Wants ML to Predict Injuries, and Researchers Find 4 Sub-Phenotypes of Long COVID"},"content":{"rendered":"

Researchers in France have identified the four sub-phenotypes of long COVID while researchers in the US just released the largest federated ML effort to date. Lightning introduced an open-source transcription powered by OpenAI\u2019s Whisper and Sebastian Raschka\u2019s new deep learning course is getting the attention of the research world. Let\u2019s dive in!<\/em><\/strong><\/p>\n

Featured Story:<\/strong><\/h2>\n

Sebastian Rashka has launched a\u00a0free university-quality deep learning course<\/a>!<\/p>\n

The first 2 units have dropped with more to come over the next few months. Each unit provides concise and practical lessons to cover all the fundamentals of deep learning along with quizzes, code examples, downloadable content, and other learning resources to everyone for free.<\/p>\n

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Research Highlights:\u00a0<\/strong><\/h2>\n

\ud83c\udfc8 The NFL announced the\u00a0NFL Contact Detection Challenge<\/a>, a new innovation competition aimed at predicting player injuries using machine learning and computer vision. The challenge, held in collaboration with AWS, invites experts to create new methods for measuring and analyzing the timing, duration, and frequency of player contact during NFL games using artificial intelligence and related disciplines. Collecting this data will help the NFL quantify when contact occurs on the field, allowing the league to better predict \u2013 and ultimately prevent \u2013 player injuries.<\/p>\n

\ud83e\udda0 Researchers recently\u00a0identified different sub-phenotypes of PASC<\/a>\u00a0[post-acute sequelae of coronavirus disease 2019 (COVID-19)] based on illnesses diagnosed within 1 to 3 months of an acute infection by severe acute respiratory syndrome coronavirus 2 in a study published in Nature Medicine (SARS-CoV-2). The study’s findings highlighted four machine-learned PASC sub-phenotypes that are driven by repeatable data. The results might help health authorities manage PASCs better.<\/p>\n

\ud83e\udde0 <\/span>The largest federated machine learning (FL) effort to date<\/a>\u00a0was led by researchers at Penn Medicine and Intel Corporation. They collected data from 6,314 glioblastoma (GBM) patients’ brain scans at 71 locations across the world in order to develop a model that can improve boundary identification and prediction in three tumor sub-compartments without jeopardizing patient privacy.<\/p>\n

ML Engineering Highlights<\/h2>\n

\ud83c\udfa4 <\/span>Apple Music is about to become a fully capable karaoke machine<\/a>. Subscribers will soon be able to tap the microphone icon to bring up a slider and reduce the vocals of a track so they can sing along to their favorite songs. Apple Music Sing will be leveraging a sing an on-device machine learning algorithm, as well as the tech behind the noise-cancellation used for FaceTime to bring this feature to life.<\/p>\n

\ud83c\udfa8 <\/span>Canva’s enterprise release of Canva Docs, part of its Visual Worksuite released this September, is\u00a0heavily incorporating generative AI.<\/a>\u00a0Canva Docs includes the company’s recently released text-to-image beta, which is based on Stable Diffusion, as well as the recently announced Magic Write, an AI-powered copywriting assistant based on OpenAI’s GPT-3. Canva\u2019s CPO announced that even more generative AI capabilities are coming in March.<\/p>\n

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Lightning AI Highlights<\/h2>\n

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\ud83d\udc42 <\/span>Introducing\u00a0Echo<\/a>, a Lightning App that uses near-human speech recognition to transcribe video and audio files – powered by Lightning and OpenAI’s Whisper. You too can deploy OpenAI\u2019s Whisper as a cloud product-\u00a0learn how!<\/a><\/p>\n

\u2601\ufe0f This week, we launched cloud machine logs for your distributed machines. Debugging on the cloud is now readable, real-time, and all in one place. You can debug with consolidated logs or dive into a single component.\u00a0Visit Lightning<\/a>\u00a0to get started for free!<\/p>\n

Community Highlights<\/h2>\n

\ud83e\uddf0 <\/span>GeoSeg<\/strong><\/a> is an open-source semantic segmentation toolbox based on PyTorch,\u00a0lightning<\/a>\u00a0and\u00a0timm<\/a>. It focuses on developing advanced Vision Transformers for remote sensing image segmentation. Kudos to\u00a0Libo Wang<\/a>!<\/p>\n

\ud83d\udd28 <\/span>3D-ML<\/a>\u00a0is a versatile framework for 3D machine learning built on Lightning and Hydra. The library provides experiment configuration control, consistent data augmentation and preprocessing stops, reference implementations and much more.\u00a0Shoutout to Leo Stanislas<\/a>!<\/p>\n

\ud83c\udfa8<\/span> Naifu Diffusion<\/a>\u00a0is a project for finetuning Stable Diffusion on images and captions. Currently implemented features include aspect ratio bucket and custom batching, hidden states of CLiP\u2019s penultimate layer, and extending the Stable Diffusion token limit by 3x. Check out more of this user\u2019s work\u00a0here<\/a>!<\/p>\n

Don\u2019t Miss the Submission Deadline<\/h2>\n