Global Big Data Conference

Artificial intelligence is already solving problems in all aspects of our lives, from animation filmmaking and tackling space exploration, to fast food recommendation systems that improve ordering efficiency. These real-world AI systems examples are just the beginning of what is possible in an AI Everywhere future and they are already testing the limits of compute power. Tomorrow's AI system solutions will require optimization up and down the stack from hardware to software, including in the tools and frameworks used to implement end-to-end AI and data science pipelines. A simple example can help illustrate the root of the challenge. In Architecture All Access: Artificial Intelligence Part 1 – Fundamentals, Andres Rodriguez, Intel Fellow and AI Architect, shows how a simple deep neural network (DNN) to identify digits from handwritten numbers requires over 100,000 weight parameters for just the first layer of multiplications.