Summit 2019

Crossbar Demonstration of How XPU Enables Deep Learning Training at the Edge

Sylvain Dubois, Vice President of Business Development and Marketing at Crossbar, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Dubois demonstrates how Crossbar XPU enables learning at the edge capabilities. He also showcases how a new object can be learned and immediately recognized by the SCAiLE reference […]

Crossbar Demonstration of How XPU Enables Deep Learning Training at the Edge Read More +

Crossbar Demonstration of Live Video Face Matching Against a Celebrity Photo Database

Sylvain Dubois, Vice President of Business Development and Marketing at Crossbar, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Dubois demonstrates how near-memory computing can significantly improve the overall performance of neural network hardware accelerators. He also showcases how resistive RAM (ReRAM), designed for parallel computing, is

Crossbar Demonstration of Live Video Face Matching Against a Celebrity Photo Database Read More +

Crossbar Neural Network Benchmark of XPU Versus a Quad-core Arm Cortex-A53 Processor

Sylvain Dubois, Vice President of Business Development and Marketing at Crossbar, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Dubois demonstrates how near-memory computing can significantly improve the overall performance of neural network hardware accelerators. He also showcases how resistive RAM (ReRAM), designed for parallel computing, is

Crossbar Neural Network Benchmark of XPU Versus a Quad-core Arm Cortex-A53 Processor Read More +

Videantis Demonstration of Its Deep Learning, Computer Vision and Video Processing Solutions

Tony Picard, Vice President of Sales at videantis, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Picard gives an overview of videantis and demonstrates deep learning, computer vision, and video coding technology for automotive and other embedded vision applications. Headquartered in Hannover, Germany, videantis provides leading computer

Videantis Demonstration of Its Deep Learning, Computer Vision and Video Processing Solutions Read More +

Xnor.ai Demonstration of New AI Technologies that Reshape Potential For the Industry

Peter Zatloukal, Vice President of Engineering at Xnor.ai, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Zatloukal showcases new AI technologies that reshape potential for the industry. Zatloukal begins by demonstrating how Xnor's deep neural networks are capable of running on edge devices as small and low-cost

Xnor.ai Demonstration of New AI Technologies that Reshape Potential For the Industry Read More +

Cadence Demonstration of a 3D Radar Imaging System on Vayyar’s Platform Powered by a Tensilica Vision DSP

Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates an advanced mmWave 3D Imaging Radar Solution for occupancy detection in smart homes, automotive, retail, and more, running on a Tensilica Vision DSP-based platform by Vayyar.

Cadence Demonstration of a 3D Radar Imaging System on Vayyar’s Platform Powered by a Tensilica Vision DSP Read More +

Cadence Demonstration of Real-Time Depth Sensing on a Tensilica Vision DSP-Based Platform

Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates low-power, real-time, stereo camera-based depth sensing targeted for drones, industrial robotics, and AGVs, running on a customer’s platform powered by a Tensilica Vision P6 DSP-based SoC.

Cadence Demonstration of Real-Time Depth Sensing on a Tensilica Vision DSP-Based Platform Read More +

Cadence Demonstration of a Recurrent Neural Network-Based Show Attend and Tell on a Tensilica DSP Platform

Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates attention-driven image tagging on the Dreamchip development platform, powered by four Tensilica® Vision P6 DSPs. The demo showcases high throughput and accurate fixed-point deployment of a network based on a Recurrent Neural Network

Cadence Demonstration of a Recurrent Neural Network-Based Show Attend and Tell on a Tensilica DSP Platform Read More +

“Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors,” a Presentation from IHS Markit

Tom Hackenberg, Principal Analyst at IHS Markit, presents the “Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors” tutorial at the May 2019 Embedded Vision Summit. Artificial intelligence is not a new concept. Machine learning has been used for decades in large server and high performance computing environments. Why

“Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors,” a Presentation from IHS Markit Read More +

“How to Choose a 3D Vision Sensor,” a Presentation from Capable Robot Components

Chris Osterwood, Founder and CEO of Capable Robot Components, presents the “How to Choose a 3D Vision Sensor” tutorial at the May 2019 Embedded Vision Summit. Designers of autonomous vehicles, robots and many other systems are faced with a critical challenge: Which 3D vision sensor technology to use? There are a wide variety of sensors

“How to Choose a 3D Vision Sensor,” a Presentation from Capable Robot Components Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
Scroll to Top