Keynotes

Uhnder The Radar: Digital Code Modulation

Manju Hegde

CEO and Co-Founder, Uhnder

 Manju Hegde
About the Speaker

Manju Hegde founded Uhnder in 2015 with Curtis Davis to develop disruptive technologies for autonomy in mobility. Uhnder is delivering the industry’s first digital automotive radar using a combination of advanced CMOS and Digital Code Modulation (DCM) technology. Uhnder’s approach and technology have excited the automotive industry which it promises to transform by changing the way radars work and significantly improving performance with the additional benefits of smaller size, lower power and lower cost. Prior to Uhnder, Hegde has held leadership roles at AMD, NVIDIA, Celox Networks and Ageia Technologies. Ageia was a major physics processing chip manufacturing and middleware company that he cofounded with Davis in 2002 and led as CEO until Ageia was acquired by NVIDIA in 2008, where Ageia’s technology, PhysX, was adopted into NVIDIA’s entire GPU product line. Hegde has published over a hundred and fifty technical papers, is a co-inventor on many patents, and often speaks at conferences and industry tradeshows. He has extensive professional and academic experience including 15 years of entrepreneurship wherein he co-founded 3 semiconductor companies as well as 17 years as a university professor in Electrical Engineering with his last tenure at Washington University in St. Louis. Hegde received a Ph. D. from the University of Michigan, Ann Arbor, in Computer Information and Control Engineering, and a Bachelor's degree from the Indian Institute of Technology, Mumbai, in Electrical Engineering.


Deep Learning for Perception in
Autonomous Vehicles

Sepp Hochreiter

Head of Institute for Machine Learning, the LIT AI Lab and the AUDI.JKU deep learning center

 Sepp Hochreiter
About the Speaker

Sepp Hochreiter is heading the Institute for Machine Learning, the LIT AI Lab and the AUDI.JKU deep learning center at the Johannes Kepler University of Linz and is director of the Institute of Advanced Research in Artificial Intelligence (IARAI). He is regarded as a pioneer of Deep Learning as he discovered the fundamental deep learning problem: deep neural networks are hard to train, because they suffer from the now famous problem of vanishing or exploding gradients. He is best known for inventing the long short-term memory (LSTM) in his diploma thesis 1991 which was later published in 1997. LSTMs have emerged into the best-performing techniques in speech and language processing and are used in Google’s Android, in Apple’s iOS, Google’s translate, Amazon’s Alexa, and Facebook’s translation. Currently, Sepp Hochreiter is advancing the theoretical foundation of Deep Learning, investigates new algorithms for deep learning, and reinforcement learning. His current research projects include Deep Learning for climate change, smart cities, drug design, for text and language analysis, for vision, and in particular for autonomous driving.