Deep Learning gets into your car!

Roberto Saracco January 14, 2015 Blog 113 Views

At CES 2015 NVIDIA (and Audi) showcased a computer , Drive PX – based on the TEGRA K1 chip, designed to be embedded in a car to provide an understanding of the environment. 
NVIDIA is possibly the most advanced company in image processing chips, we find its chips in many computers to manage the graphic processing, in many game stations and also in many cars for the navigation system.
At CES they have presented a system that can process up to 12 video feeds from cameras embedded in a car and that uses deep learning architecture – software to recognise objects. It can tell that there is a garbage bin on the sidewalk and that that bumps just behind it is actually a kid to watch out. 
The Drive PX can support a variety of sensors and easily provide 3D graphic rendering for display on the dashboard. It can be monitored remotely and its software can be updated to fix problems and support new features (something that so far only Tesla seems to be be doing, with the other car manufacturers updating the car computers software once you take your car for maintenance to their shop).
Drive PX marks the graduation of deep learning from being an advanced technology to be used in specialised labs and applications to become a mass market technology. Deep learning mimic in a way the architectures and computations occurring in our brains … 
We’ve got to watch out: our cars are getting brains that for the better or the worse will be competing with ours. I just hope they will suffer less distractions that I am experiencing …

About Roberto Saracco

Roberto Saracco fell in love with technology and its implications long time ago. His background is in math and computer science. Until April 2017 he led the EIT Digital Italian Node and then was head of the Industrial Doctoral School of EIT Digital up to September 2018. Previously, up to December 2011 he was the Director of the Telecom Italia Future Centre in Venice, looking at the interplay of technology evolution, economics and society. At the turn of the century he led a World Bank-Infodev project to stimulate entrepreneurship in Latin America. He is a senior member of IEEE where he leads the New Initiative Committee and co-chairs the Digital Reality Initiative. He is a member of the IEEE in 2050 Ad Hoc Committee. He teaches a Master course on Technology Forecasting and Market impact at the University of Trento. He has published over 100 papers in journals and magazines and 14 books.

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