Larry Jackel

Larry Jackel is President of North C Technologies and has been consulting with NVIDIA since 2015. For most of his scientific career, Jackel was a manager and researcher at Bell Labs and then AT&T Labs. He created and managed research groups in Microscience and Microfabrication, Machine Learning and Pattern Recognition, and Carrier-Scale Telecom Services. Jackel’s Bell Labs department was instrumental in pioneering much of the machine learning technology in use today, including deep learning. From 2003-2007, Jackel was a DARPA program manager in the IPTO and TTO offices. He conceived and managed programs in Autonomous Ground Robot Navigation and Locomotion. Jackel holds a PhD in experimental physics from Cornell University with a thesis in superconducting electronics. He is a Fellow of the American Physical Society and the IEEE.

Posts by Larry Jackel

Technical Walkthrough 1 Jan 20, 2021

Researching and Developing an Autonomous Vehicle Lane-Following System

Four years ago, a system known as PilotNet became the first NVIDIA system to steer an autonomous car along a roadway. This system represents a departure from… 15 MIN READ
Technical Walkthrough 0 May 23, 2017

Explaining How End-to-End Deep Learning Steers a Self-Driving Car

As part of our autonomous driving research, NVIDIA has created a deep-learning based system, known as PilotNet, which learns to emulate the behavior of human… 8 MIN READ
Figure 1: NVIDIA's Lincoln MKV self-driving car.
Technical Walkthrough 0 Aug 17, 2016

End-to-End Deep Learning for Self-Driving Cars

We have used convolutional neural networks (CNNs) to map the raw pixels from a front-facing camera to the steering commands for a self-driving car. 18 MIN READ