2017 Plenary Session


Tuesday, April 11, 2017
Location: McCaw Hall, Arrillaga Alumni Center

"Industry Panel Discussion: Intelligent Machines-Seeking Benefits and Avoiding Threats "



Artificial intelligence has the potential to produce great benefits but it also carries tremendous threats. Autonomous and assistive decision making can help or hurt society. Jobs will be lost in the short run but productivity and quality of life can be improved in the long run. Ethical questions abound. This panel will explore the opportunities for social good as well as bad and industry's role in shaping the future.

Nicola Morini, Accenture

Mr. Nicola Morini-Bianzino is the Global Senior Managing Director of Artificial Intelligence at Accenture. He is responsible for setting leading Accenture's AI strategy and business across the company. Nicola also serves as the Growth & Strategy lead for Accenture's Technology Innovation & Ecosystems organization. He is responsible for defining Accenture's Technology strategy, new ventures and acquisitions, and Accenture's investments in Technology.

Prior to joining Accenture in 1998, Nicola played professional basketball in the Italian and European basketball leagues. Nicola has a degree in Economics from the University of Florence (Italy) where he wrote his thesis on Neural Networks applied to business applications.

He is currently based in San Francisco Bay Area where he lives with his wife Caroline and their three sons, Vittorio, Tommaso, and Giulio.

William Dally, NVIDIA

Bill is Chief Scientist and Senior Vice President of Research at NVIDIA Corporation and a Professor (Research) and former chair of Computer Science at Stanford University. Bill and his group have developed system architecture, network architecture, signaling, routing, and synchronization technology that can be found in most large parallel computers today. While at Bell Labs Bill contributed to the BELLMAC32 microprocessor and designed the MARS hardware accelerator. At Caltech he designed the MOSSIM Simulation Engine and the Torus Routing Chip which pioneered wormhole routing and virtual-channel flow control. At the Massachusetts Institute of Technology his group built the J-Machine and the M-Machine, experimental parallel computer systems that pioneered the separation of mechanisms from programming models and demonstrated very low overhead synchronization and communication mechanisms. At Stanford University his group has developed the Imagine processor, which introduced the concepts of stream processing and partitioned register organizations, the Merrimac supercomputer, which led to GPU computing, and the ELM low-power processor. Bill is a Member of the National Academy of Engineering, a Fellow of the IEEE, a Fellow of the ACM, and a Fellow of the American Academy of Arts and Sciences. He has received the ACM Eckert-Mauchly Award, the IEEE Seymour Cray Award, the ACM Maurice Wilkes award, and the IPSJ FUNAI Achievement Award. He currently leads projects on computer architecture, network architecture, circuit design, and programming systems. He has published over 200 papers in these areas, holds over 100 issued patents, and is an author of the textbooks, Digital Design: A Systems Approach, Digital Systems Engineering, and Principles and Practices of Interconnection Networks.

Deepika Bodapati, Athelas

Deepika Bodapati is the co-founder of Athelas, a portable blood diagnostic company which uses deep learning and computer vision to generate complete cell blood counts from a single drop of blood within seconds. Athelas has been clinically validated over 350 patients, and is expecting FDA approval in the coming months.
Prior to founding Athelas, Deepika spent over three years working at the Stanford Multi-modality molecular imaging lab, focusing on imaging the binding mechanisms of early cancer biomarkers and molecular targets, primarily using MRI and CT technologies. She has co-authored multiple papers during her work at the lab .
Deepika has taken a hiatus from college since 2016.

Gill Pratt, Toyota Research Institute

Dr. Gill Pratt is the Chief Executive Officer of Toyota Research Institute (TRI), a research and development enterprise designed to bridge the gap between fundamental research and product development. Launched in 2016, TRI's mission is to enhance the safety of automobiles, with the ultimate goal of creating a car that is incapable of causing a crash. It seeks to provide increased access to cars for those who otherwise cannot drive, including those with special needs and seniors. Furthermore, TRI looks to translate outdoor mobility technology into products for indoor mobility, and accelerate scientific discovery by applying techniques from artificial intelligence and machine learning. Dr. Pratt also serves as the Executive Technical Advisor to Toyota Motor Corporation.

Before joining Toyota, Dr. Pratt served as a program manager in the Defense Sciences Office at the US Defense Advanced Research Projects Agency (DARPA) from January 2010 through August 2015.

Dr. Pratt's primary interest is in the field of robotics and intelligent systems. Specific areas include interfaces that significantly enhance human/machine collaboration, mechanisms and control methods for enhanced mobility and manipulation, low impedance actuators, and the application of neuroscience techniques to robot perception and control.

Dr. Pratt holds a Doctor of Philosophy in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT). His thesis is in the field of neurophysiology. Dr. Pratt was an Associate Professor and Director of the Leg Lab at MIT. Subsequently, he became a Professor at Franklin W. Olin College, and before joining DARPA and then Toyota, was Associate Dean of Faculty Affairs and Research. Dr. Pratt holds several patents in series elastic actuation and adaptive control.