Aerospace

Machine learning is revolutionizing space exploration and the broader aerospace sector. Our section on machine learning in aerospace brings together leading minds integrating ML into aerospace engineering, robotics, and operating systems. These pioneers are transforming strategies in both realms, using machine learning to enhance the mars rover, develop aerospace hardware, and analyze data from the far reaches of space. Discover how machine learning shapes the future of aerospace innovation and space discovery, propelling us toward new frontiers in the sky and beyond.

Peter Norvig

Former Head of Computational Science at NASA and Director of Research at Google

  • The Pursuit of Machine Learning

    The Crossroads Between AI and Space

    The Challenge & Promise of Artificial Intelligence

  • $25k to $50k plus travel

  • California, United States

Peter is a world-renowned computer scientist with over 50 publications.

He literally wrote the book on AI, with his textbook Artificial Intelligence: A Modern Approach used in more than 1,500 universities across 135 countries.

Peter is an expert at teaching, speaking, and applying AI across a variety of sectors and institutions.

Vandi Verma

Deputy Manager for Mobility and Robotics Systems at NASA

  • Space Robotics of The Future

    Machine Learning in the Mars Rover

  • Please Inquire

  • California, United States

Verma is a pioneering robotics expert who holds leadership roles at NASA's Jet Propulsion Laboratory, notably spearheading JPL's Autonomous Systems, Mobility and Robotic Systems group.

With a PhD in robotics from Carnegie Mellon, she has co-authored PLEXIL, a language used in critical NASA projects, and has been instrumental in the Mars Exploration Rover projects since 2008.

Her work has been recognized through multiple NASA Honors awards, and she frequently leverages her expertise to inspire the next generation in STEM.

Reza Zadeh

CEO of Matroid & Stanford Professor

  • Turning Machine Learning Research into Products for Industry

    Computer Vision Made Simple

  • Please Inquire

  • California, United States

Reza Zadeh, founder and CEO of Matroid and an Adjunct Professor at Stanford, has been a leading figure in AI since his tenure at Google's AI research team in 2005.

Recognized with awards like the KDD Best Paper and the Gene Golub Outstanding Thesis at Stanford, he's credited for creating Machine Learning algorithms for Twitter and co-developing essential libraries in Apache Spark.

Beyond his groundbreaking work, Reza imparts knowledge through advanced Stanford courses like Distributed Algorithms and Discrete Mathematics.