The internationally renowned Dan David Prize, headquartered at Tel Aviv University, annually awards three prizes of $1 million each to globally inspiring individuals and organizations. The total purse of $3 million makes the prize not only one of the most prestigious, but also one of the highest-value prizes internationally. Laureates are selected on the basis of their outstanding achievements and contributions in the year's chosen fields, each representing a time category. This year's fields are Cultural Preservation and Revival (Past category), Gender Equality (Present category) and Artificial Intelligence (Future category). Professor Amnon Shashua, co-founder and CEO of Mobileye, and Dr. Demis Hassabis, co-founder and CEO of DeepMind, have been named the 2020 Dan David Prize laureates in the field of artificial intelligence (AI).

Today I spoke at the WSJDLive global technology conference about cognitive and artificial intelligence (AI) technology, two nascent areas that I believe will be transformative to the industry and world. These systems also offer tremendous market opportunity and are on a trajectory to reach $46 billion in industry revenue by 20201. As part of this, today we announced that Intel will ship the industry's first silicon for neural network processing, the Intel Nervana Neural Network Processor (NNP), before the end of this year. We are thrilled to have Facebook in close collaboration sharing its technical insights as we bring this new generation of AI hardware to market. The Intel Nervana NNP promises to revolutionize AI computing across myriad industries.

Intel has been selected by DARPA, a U.S. Department of Defense agency, to collaborate on the development of a powerful new data-handling and computing platform that will leverage machine learning and other artificial intelligence (AI) techniques. The notion of Big Data emerges from the observation that 90 percent of the data available today has been created in just the past two years. From devices at the edge to large data centers crunching everything from corporate clouds to future energy technology simulations, the world is awash in data – being stored, indexed and accessed. DARPA's Microsystems Technology Office created the Hierarchical Identify Verify & Exploit (HIVE) program to develop new technologies to realize 1,000x performance-per-watt gains in the ability to handle graph analytics. Unlike traditional analytics that are tools to study "one to one" or "one to many" relationships, graph analytics can use algorithms to construct and process the world's data organized in a "many to many" relationship – moving from immediate connections to multiple layers of indirect relationships.

Day 2 of the 2016 Intel Developer Forum opened with dual keynotes that began at 9 a.m. Murthy Renduchintala, president of Intel's Client and Internet of Things Businesses and Systems Architecture Group, discussed the innovations that drive the next revolution in technology as we shift to a truly connected world. He was joined for a panel discussion on the future of a smart and connected world. Diane Bryant, Intel executive vice president and general manager of its Data Center Group, discussed the company's progress in artificial intelligence. She disclosed details on the next-generation of the Intel Xeon Phi processor family designed for machine learning workloads.

Intel is a company that powers the cloud and billions of smart, connected computing devices. Thanks to the pervasive reach of cloud computing, the ever decreasing cost of compute enabled by Moore's Law, and the increasing availability of connectivity, these connected devices are generating millions of terabytes of data every single day. The ability to analyze and derive value from that data is one of the most exciting opportunities for us all. Central to that opportunity is artificial intelligence. While artificial intelligence is often equated with great science fiction, it isn't relegated to novels and movies.