Can You See Me? Putting Neural Networks in Everyday Devices

Neural networks have become very popular today due to their use in leading-edge technology like deep learning machines, artificial intelligence, and virtual reality. Neural networks offer a powerful way to extract meaning in recognizing objects and actions within a visual stream. It's a topic with a lot of buzz today, and as the use of it becomes more and more pervasive, it’s just a matter of time before the devices we use on a daily basis (cell phones, cars, TVs, etc.) become enabled with some form of recognition.

The upcoming Computer Vision and Pattern Recognition (CVPR) Conference in Las Vegas, June 26 – July 1, brings together academia along with industry experts, students, entrepreneurs, technologists, and many more to teach, discuss, and learn about how computer vision innovation is changing the face of today’s technology and helping to push the boundaries of what’s possible with machine learning for tomorrow’s world.

Cadence will hold a half-day tutorial session on deep learning techniques and their implication on embedded systems, especially in the areas of high performance with low power. The tutorial will be led by our IPG CTO, Chris Rowen, and supported by our CTO design engineers and architects. The tutorial will cover problem definition and algorithm optimization (complexity reduction vs performance) as well as target deployment platform selection and optimization (for power and performance in constrained embedded systems).

Join us at Caesar’s Palace on June 26^th in Las Vegas to learn how you can deploy neural networks in your next embedded application.  We definitely want to see you there!

Register for the CVPR 2016 event here.

Want to learn more about neural networks? Watch these videos from IP CTO Chris Rowen on Vision Systems and Neural Networks and The Future of Neural Networks.

Neil Robinson