This week in AI & Machine Learning: Robotaxis, AI reduces hospital admissions, Pytorch 1.7, mixed precision training, AWS re:invent, people are awesome, and more!
In some really exciting self driving car news, Voyage announces a partnership with First Transit. This is a really neat and different collaborative approach to deploying autonomous vehicles to more people. I won’t be too surprised if more companies end up taking a similar approach. Especially if you’re not already one of the massive tech giants like Google, Amazon, or Tesla.
Microsoft released a preview of the Lobe app which promises to make machine learning easier for local model development for people without much data science experience. Check out the app at lobe.ai.
Clare Medical used artificial intelligence in a study that was able to reduce hospitalization by over 51% for at-risk patients. The AI was able to make predictions of series medical events allowing for clinicians to proactively interview. A tool like this could be the future of reducing hospital overcrowding and saving lives of at-risk populations!
If you’ve been reading these weekly AI reports it will be no surprise to you that we’re a fan of Pytorch! Version 1.7 is officially released with Cuda 11 support. Check out the release notes.
Hugging Face releases Tokenizers 0.9 which includes full support for Unigram, Numpy arrays as input, new components for better customization, and shiny new docs.
learn how to perform targeted adversarial attacks to trick convolutional neural networks and construct targeted adversarial images using Keras, TensorFlow, and Deep Learning.
Learn how to quickly do mixed precision training with Pytorch Lighting.
Learn how to easily train a Natural Language Processing (NLP) model with the NeMo NVIDIA framework.
If you’re a fan of Jupyter Notebooks or Google Colab, check out this new player in the field of online notebooks for deep learning with GPU acceleration.
It seems like all the good AI & machine learning podcasts came out last week. If you found one you enjoyed, share it with me and I can add it here!
Sal is the founder of the popular Khan Academy. In this discussion, hear about his thoughts on machine learning and AI being used broadly in education and much more.
Some of the interesting machine learning papers published this week.