The annual Israel Machine Vision Conference (IMVC) took place on March 6, 2018 at David InterContinental Tel Aviv.
Dr. Amir Alush spoke at a conference on “Deploying Deep Learning on Everyday Devices”.

Deploying Deep Neural Networks on everyday embedded devices holds a challenge which is currently dealt by using the speed-accuracy tradeoff. This talk will focus on understanding the different components of the deep learning “stack (with emphasis on algorithms) and their impact on the final embedded applications accuracy and run-time performance. During the talk I will go over several use cases in IoT and ADAS applications which we are solving at Brodmann17.

The CTO and co-founder of Brodmann17, a pioneering startup which took upon itself to solve deep learning compute on everyday devices. Prior to co-founding Brodmann17 Amir has lead highly professional deep-learning research teams at Adience and Superfish, which was one of the first companies in Israel to adopt deep learning. He specializes in Deep Learning, Machine Learning and Computer Vision and holds a PhD in Engineering from Bar Ilan University under the supervision of Prof Jacob Goldberger.

For Dr. Amir Alush’s  presentation click here

Legal Disclaimer:

You understand that when using the Site you may be exposed to content from a variety of sources, and that SagivTech is not responsible for the accuracy, usefulness, safety or intellectual property rights of, or relating to, such content and that such content does not express SagivTech’s opinion or endorsement of any subject matter and should not be relied upon as such. SagivTech and its affiliates accept no responsibility for any consequences whatsoever arising from use of such content. You acknowledge that any use of the content is at your own risk.