• Skip to main content
  • Skip to search
  • Skip to footer
Cadence Home
  • This search text may be transcribed, used, stored, or accessed by our third-party service providers per our Cookie Policy and Privacy Policy.

  1. Blogs
  2. Breakfast Bytes
  3. ENNS 2017: Deep Learning, the New Moore's Law
Paul McLellan
Paul McLellan

Community Member

Blog Activity
Options
  • Subscribe by email
  • More
  • Cancel
CVPR
deep learning
enns 2017
CNN

ENNS 2017: Deep Learning, the New Moore's Law

25 Jan 2017 • 3 minute read

 breakfast bytes logo

One of the hottest areas in systems right now is deep learning: neural networks, machine learning, machine vision, convolutional neural networks. There are, obviously, differences between these, depending on the application, but one thing they have in common—the speed of development over the last couple of years has been staggering. A big driver of this rapid development has been the vision processing required to make autonomous vehicles a reality. (And let me remind you that it is only a decade ago—11 years, I think—since the best any vehicle could do in the DARPA grand challenge was eight miles. A couple didn't even get out of the starting corral, even though one was a self-driving motorbike—what could possibly go wrong?)

It is not just machine vision that has improved by leaps and bounds, too. Voice recognition, language translation, and other high computational systems requiring learning functions also improved. Training is the new programming, and it is this that has driven things so fast.

 Last year, Cadence hosted an embedded neural network summit. (To see videos and slides from that day, they are available here.) We also ran a half-day tutorial, Power Efficient Recognition Systems for Embedded Applications, during the Computer Vision and Pattern Recognition (CVPR) event in Las Vegas last summer. I wrote four or five posts based on the day’s presentations—the first is here and there are links at the bottom of each page to take you to the next one.

ENNS 2017 is Here: Deep Learning, the New Moore's Law

This year, the embedded neural network summit (ENNS) is back, to be held on February 1st (all day).

The “E” in the title is important. Autonomous vehicles and other systems typically have their operation partitioned; in other words, the “training” for neural networks to develop the required parameters takes place in data centers in the cloud. After they are developed, they are then uploaded into the embedded system (such as the car or mobile phone). While it would be incorrect to say that power is generally not an issue in data centers, it is accurate to say that algorithms developed in the neural network are not as power-constrained in the cloud as they are in vehicles and phones.

Just as last year, the summit brings together experts in the field. Once again we are joined by Chris Rowen, who used to be the CTO of the IP group at Cadence and still consults back with us as he sets up his new venture. This really isn't about selling you something (although we do have a Tensilica product in the space if you insist!).

The current speaker lineup is as follows:

 

9:30 am

Overview of the Day

Chris Rowen, CEO, Cognite Ventures

9:40am

When Every Device Can See

Jeff Bier, Founder, Embedded Vision Alliance

10:10am

Kunle Olukotun

Professor, Stanford University

10:55am

Break

11:15am

Dr. Kai Yu

Founder and CEO, Horizon Robotics

11:45am

What Would It Take for CNN to Go Embedded?

Samer Hijazi, Group Director and Senior Architect, Cadence

12:15pm

Lunch

1:30pm

Han Song

Ph.D. Candidate, Stanford University

2:00pm

Neural Networks: The New Moore's Law

Chris Rowen, CEO, Cognite Ventures

2:30pm

Architecting New Deep Neural Networks for Embedded Applications

Forrest Iandola, CEO, DeepScale

3:00pm

Break

3:20pm

IoT – Embedded Vision and Embedded Intelligence

Ren Wu, Founder and CEO, NovuMind

3:50pm

Targeting CNNs for Embedded Platforms

Anshu Arya, Solution Architect, MulticoreWare

4:20pm

Wrap-Up

Chris Rowen, CEO, Cognite Ventures

4:30pm

Panel Discussion

5:30pm

Reception

Building 10 lobby

  As with all events, this program is subject to change.

Register

More details, including a link to register, are here. (It's free!)

Previous: RISC-V "The thing that you learn and the thing that you use are the same"