Eli David

Eli David CTO Deep Instinct is the first company to apply deep learning to cybersecurity. Existing solutions are limited in their protection: identifying only known threats or covering specific platforms, while exhibiting detection capabilities that are time consuming and far from optimal. As a result, there is a critical need for a new solution that can protect against brand new (zero-day) threats and sophisticated APT attacks in real-time. By applying deep learning, Deep Instinct brings a completely new approach to cybersecurity, offering the same level of groundbreaking results that are exhibited when deep learning is applied to other domains such as computer vision. Dr. Eli David is one of the leading global experts in the field of computational intelligence, specializing in deep learning (neural networks) and evolutionary computation. He has published more than thirty papers in leading artificial intelligence journals and conferences, mostly focusing on applications of deep learning and genetic algorithms in various real-world domains. For the past ten years, he has been teaching courses on deep learning and evolutionary computation at Bar-Ilan University, in addition to supervising the research of graduate students in these fields. Dr. David has also served in numerous capacities successfully designing, implementing, and leading deep learning based projects in real-world environments. Dr. David is the developer of Falcon, a grandmaster-level chess playing program, which automatically learns by processing datasets of chess games. The program reached the second place in World Computer Speed Chess Championship 2008 relying solely on machine learning for its performance. Dr. David received the Best Paper Award in 2008 Genetic and Evolutionary Computation Conference, the Gold Award in the prestigious "Humies" Awards for Human-Competitive Results in 2014, and recently the Best Paper Award in 2016 International Conference on Artificial Neural Networks.