AI in healthcare, synthesizing dance moves, hardware acceleration

Chris and Daniel discuss new advances in AI research (including a creepy dancing video), how AI is creating opportunity for new chip startups, and uses of deep learning in healthcare. They also share some great learning resources, including one of Chris’s favorite online courses.

Join the discussion

Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!

Sponsors:

DigitalOcean • – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit!

Fastly • – Our bandwidth partner. • Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com • .

Linode • – Our cloud server of choice. • Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog •

Rollbar • – We catch our errors before our users do because of Rollbar. • Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog • .

Featuring:

• Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

News/Updates:

New seq2seq architecture without explicit encoder/decoder Dancing video synthesis O’Reilly AI SF How AI is decommoditizing the chip industry Johns Hopkins researchers use deep learning to combat pancreatic cancer Artificial intelligence system designs drugs from scratch

Learning Resources:

Hands on ML books dataviz Udemy - Complete Guide to TensorFlow for Deep Learning with Python

Books

“Hands-On Machine Learning” by Aurélien Géron

Something missing or broken? PRs welcome!

★ Support this podcast ★