Rob May of Talla questions the impact of path-dependence in machine learning models. Humans definitely approach ideas differently depending on what they learned before – should machines? | learn more
“Doctors at a U.K. eye hospital are getting algorithmic help interpreting the results of 3D eye scans, using a system developed at Google’s DeepMind that can identify more than 50 eye problems and recommend a course of action with human […]
One of the only YouTube channels I subscribe to is called Two Minute Papers. They create short video synopses of AI-related papers in scientific journals. This particular video is a worthwhile way to spend a couple minuets. | learn more
These 156 slides by VC Nathan Benaich and Songkick founder Ian Hogarth will get you up to speed on state of the art in artificial intelligence. “Consider this report as a compilation of the most interesting things we’ve seen that […]
“The Biometric Mirror, the only one of its kind in the world, is tucked away in a foyer at the University of Melbourne. … It has been programmed to read faces based on thousands of photos of people that were […]
It costs $1,000, but some people really need help (me included). | learn more
“Amazon’s Alexa Prize is a multimillion-dollar competition to build AI that can chat like a human. On the face of it, Amazon isn’t asking much: just create a chatbot using Alexa that can talk to a human for 20 minutes […]
Compared to many other species, humans are relatively week at processing the signals that scents offer. It seems like we may soon be able to compensate by using deep learning to process and interpret the signals found in smells. | learn more
The technology allows for transfer of not only facial expressions from an actor to a target video, but also head and torso movements. Soon we will have a verytough time telling real videos from fake. | learn more
“The new AI tool, developed by Marwin Segler, an organic chemist and artificial-intelligence researcher at the University of Münster in Germany, and his colleagues, uses deep-learning neural networks to imbibe essentially all known single-step organic-chemistry reactions — about 12.4 million […]