Dr. Hod Lipson

Faculty

Robotics, Artificial Intelligence, Digital Manufacturing

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Areas of Expertise

Digital Manufacturing  •  Robotics  •  Autonomous Vehicles  •  Artificial Intelligence  •  Deep Learning  •  Data Science

About Hod

Hod Lipson is a professor of Engineering and Data Science at Columbia University in New York, and a co-author of the award winning book “Fabricated: The New World of 3D printing”, and “Driverless: Intelligent cars and the road ahead”, by MIT Press (translated into 7 languages). Before joining Columbia University in 2015, Hod spent 14 years as a professor at Cornell University. He received his PhD in 1999 from the Technion – Israel Institute of Technology, followed by a postdoc at Brandeis University and MIT.

Hod Lipson’s work on self-aware and self-replicating robots challenges conventional views of robotics, and has enjoyed widespread media coverage. He has also pioneered open-source 3D printing, as well as electronics 3D printing, bio-printing and food printing. Lipson has co-authored over 300 publications that received over 14,000 citations to date. He has co-founded four companies, and is frequent keynoter both in industry and academic events. His TED Talk on self-aware machines is one of the most viewed presentations on AI and robotics. Hod directs the Creative Machines Lab, which pioneers new ways to make machines that create, and machines that are creative.

Building "self-aware" robots

Future of AI I The Last Frontiers of AI I SingularityU Czech Summit 2018

Future of Mobility I Our Driverless Future I SingularityU Czech Summit 2018

Curious and Creative Machines

How These Self-Aware Robots Are Redefining Consciousness

Speaking Topics

  • Artificial Intelligence & Robotics

    Artificial intelligence is not just a future possibility, it is here now, and in use all around us. This talk covers what AI is, current research results in AI, AI applications and businesses, future directions of the technology, and its business, technical, and ethical implications.

  • Automating discovery, from cognitive robotics to computational biology

    Can machines discover scientific laws automatically? Despite the prevalence of big data, the process of distilling data into scientific laws has resisted automation. Particularly challenging are situations with small amounts of data that is difficult or expensive to collect. This talk will outline a series of recent research projects, starting with self-reflecting robotic systems, and ending with machines that can formulate hypotheses, design experiments, and interpret the results, to discover new scientific laws. We will see examples from psychology to cosmology, from classical physics to modern physics, from big science to small science.

  • Autonomous Vehicles

  • Big Data

    In the past decade, data has become the fuel that drives software. The large quantity, variety, and rate of data feeds challenge conventional infrastructure and traditional thinking, yet offer many new opportunities. How do exponential organizations think about data? This talk delivers an introduction to the six waves of big data and the increasingly sophisticated ability to extract information and meaning out of raw data. This session will provide many examples of big data in action – embedded in the fabric of our everyday lives. We’ll cover everything from traditional data analytics to current trends in artificial perception and future self-awareness. We’ll explain how innovative corporations and startups are using big data to amplify their capabilities and accelerate product development.

  • Digital Manufacturing

  • Smart Cities and Future of Mobility

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