This week in AI & Machine Learning: How ML can save lives, Torch for R, Explainable AI, TF2 Object Detection, GANs for good, and more!
Artificial Intelligence News:
This article does an amazing job at showing some ways companies can utilize AI to reduce workplace accidents, mitigate natural disasters, and making it safer to return back to work environments during the current pandemic.
These solutions may sound futuristic, but the technology to build and deploy them is available today! If you would like to see a demo of how you can use the Sixgill platform to solve these problems, request a demo.
Tone Transfer by is pretty neat. You can use it to change a 15 sec audio clip into machine learning generated music. As with most generative AI methods, there are always some fun results. Try it out yourself here.
Further showing there is a lot of interest and potential demand around using AI in healthcare, SOPHiA GENETICS raises $110 Million in a series F round. The company uses machine learning to analyze medical images and offers a service around detecting and classifying genomic variants.
Developer Tools & Education
If you’ve ever dreamed of having PyTorch functionality in the R programming language, it’s your lucky day! Torch is now an R package that lets you use PyTorch like functionality without any python installation!
Google’s TensorFlow team and Facebook’s PyTorch team collaborated to help bring better support for TPUs (Tensor Processing Units) to PyTorch and the PyTorch Lightning team.
Many people are familiar with Andrew Ng and his work in building approachable AI courses covering machine learning, deep learning, NLP (Natural Language Processing), and more. This week at the GANs for Good panel deeplearning.ai announced their latest specialization: Generative Adversarial Networks (GANs)
Ever since ITensorflow 2.x launched, I personally have been waiting for updates to better support the super useful Tensorflow Object Detection API, and it looks like we’ve gotten it!
Upcoming Online AI & Data Events:
“In this talk, Teuta Mercado – Director of Responsible will lay out the context around why Explainable AI is required for Responsible AI, followed by Bayan Bruss – Head of Applied Research and Senthil Kumar-Chief ML Scientist at the Capital One Center for Machine Learning reviewing Explainable AI space along with some of the cutting edge research they are leading.”
Join me for a hands on workshop to learn the basics of building a deep learning object detector and how to label your own dataset in a practical way.
Part of a series of practical sessions to learn and practice various technologies and tools for deep learning projects.
This summit explores how organizations become AI first and how AI can significantly move the bottom line in your company.
Interesting Podcasts & Interviews:
Learn how Qualcomm Technologies is utilizing AI in research in this episode of “This Week in Machine Learning”.
Continuing with the theme of GANs everywhere this week! Listen how GANs can be used to help visualize climate impact in this episode of “This Week in Machine Learning”.
Learn why matrix calculus can be useful for the analysis and design machine learning models with lots of examples In this episode of “Learning Machines 101”.
Some of the interesting machine learning papers published this week.
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don’t