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FSGAN: Subject Agnostic Face Swapping and Reenactment
Generative adversarial networks are getting a lot of press as the general public raises their fears on the forgery techniques, but the data science community has been tracking their development, precision, benefits, and threats for years. Recently though, the team of Yuval Nirkin, Yosi Keller (both of Bar-Ilan University),... Read more
Best Deep Reinforcement Learning Research of 2019 So Far
In this article, I’ve conducted an informal survey of all the deep reinforcement learning research thus far in 2019 and I’ve picked out some of my favorite papers. This list should make for some enjoyable summer reading!   As we... Read more
What Are a Few AI Research Labs on the West Coast?
Artificial Intelligence is still a nascent technology; much of the groundbreaking work moving the industry forward is done inside AI research labs. It’s often from those labs that open source projects are started.  Institutes like Open AI, NASA’s JPL, Google Deepmind, MIT CSAIL, BAIR, The Turing Institute, and Max... Read more
How To Democratize Artificial Intelligence in Your Business
Olivier Blais of Moov.ai  has had a lot of experience building AI initiatives for organizations. He’s been a lot of places and is well aware of the hype and hysteria surrounding AI. He’s here to help you and your company build better AI initiatives, democratize Artificial Intelligence, and alleviate some... Read more
10 Compelling Machine Learning Dissertations from Ph.D. Students
As a data scientist, an integral part of my work in the field revolves around keeping current with research coming out of academia. I frequently scour arXiv.org for late-breaking papers that show trends and fertile areas of research. Other sources of valuable research developments are in the form of... Read more