Artificial Intelligence and Data Science Advances in 2018 and Trends for 2019

The insane pre-holiday shopping is behind us, along with celebrations, and personal to-do lists for the next 12 months. So, let's analyze the data science and artificial intelligence accomplishments and events of the past year. We talked with experts from Booking.com, Wolfram Research, BetConstruct, and other data science specialists who shared their thoughts about opportunities as well as their influence on business, research, and everyday lives for both industries. Experts have different points of view on whether 2018 was rich in important achievements and events. No recent achievements can compete with inventions of a multilayer perceptron (MLP), neural net training techniques like backpropagation and backpropagation through time (BPTT), residual networks, the introduction of Generative Adversarial Networks (GANs), and deep Q-learning networks (DQN). "So, looking back to memorable ones I listed before, there weren't'brand new' accomplishments in 2018," summarizes Oleksandr.