Recent achievements in deep learning over the past year (and a bit longer). We’ll tell you about the most significant developments that can affect our future.
A new analytic technique sheds light on inner workings of neural networks trained to perform natural-language-processing tasks, and even suggests possibilities for improving the performance of machine-translation systems.
Recent methods in artificial intelligence enable AI software to produce rich and creative digital artifacts such as text and images painted from scratch. One technique used in creating these artifacts are generative adversarial networks (GANs). Today at NIPS 2017, researchers from Microsoft Research and ETH Zurich present their work on making GAN models more robust …
With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely …
An in-depth look at animal-assisted therapy from a patient’s best friend, Dr. Dog.
Procrastinate often? Caroline Williams does, so decided to find out if brain training could tackle her wandering mind. What she discovered could help everyone.
Japan is set to start building a $90 billion magnetic-levitation rail system between Tokyo and Osaka, a technology that it hopes to turn into one of the country’s next big exports.