“Collaboratively Benchmarking and Optimizing Deep Learning Implementations,” a Presentation from General Motors

Algorithms, Automotive, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

Unmesh Bordoloi, Senior Researcher at General Motors, presents the "Collaboratively Benchmarking and Optimizing Deep Learning Implementations" tutorial at the May 2017 Embedded Vision Summit. For car manufacturers and other OEMs, selecting the right processors to run deep learning inference for embedded vision applications is a critical but daunting task.  One challenge is the vast number […]

“Collaboratively Benchmarking and Optimizing Deep Learning Implementations,” a Presentation from General Motors Read More +

“New Dataflow Architecture for Machine Learning,” a Presentation from Wave Computing

Algorithms, Edge AI and Vision Alliance, Processors, Software, Tools, Videos, Wave Computing /

Chris Nicol, CTO at Wave Computing, presents the "New Dataflow Architecture for Machine Learning" tutorial at the May 2017 Embedded Vision Summit. Data scientists have made tremendous advances in the use of deep neural networks (DNNs) to enhance business models and service offerings. But training DNNs can take a week or more using traditional hardware

“New Dataflow Architecture for Machine Learning,” a Presentation from Wave Computing Read More +

Use a Camera Model to Accelerate Camera System Design

Articles, Edge AI and Vision Alliance, Technical Articles /

This blog post was originally published by Twisthink. It is reprinted here with the permission of Twisthink. The exciting world of embedded cameras is experiencing rapid growth. Digital-imaging technology is being integrated into a wide range of new products and systems. Embedded cameras are becoming widely adopted in the automotive market, security and surveillance markets,

Use a Camera Model to Accelerate Camera System Design Read More +

VariablePrecision

Imagination Reveals PowerVR Neural Network Accelerator (NNA) with 2x the Performance and Half the Bandwidth of Nearest Competitor

News /

First dedicated hardware solution with flexible bit-depth support from 16-bit down to 4-bit LONDON, UK – 21st September, 2017 – Imagination Technologies (IMG.L) reveals its complete, standalone hardware IP neural network accelerator, with industry-leading area efficiency delivered by a specialized PowerVR architecture implementation for neural networks (NNs). Companies building SoCs for mobile, surveillance, automotive and

Imagination Reveals PowerVR Neural Network Accelerator (NNA) with 2x the Performance and Half the Bandwidth of Nearest Competitor Read More +

GPUEvolution

Imagination’s New PowerVR GPUs Enable Chip Companies and OEMs to Create the Best Possible User Experience in Cost-sensitive Devices

News /

PowerVR Series9XE and 9XM GPUs maintain fillrate density leadership and provide significant boost in performance density LONDON, UK – 21st September, 2017 – Imagination Technologies (IMG.L) announces a new generation of PowerVR GPUs that raises the bar on graphics and compute in cost-sensitive devices, letting SoC vendors achieve a significant boost in performance with no

Imagination’s New PowerVR GPUs Enable Chip Companies and OEMs to Create the Best Possible User Experience in Cost-sensitive Devices Read More +

videantis_logo_100

Videantis Receives Growth Financing from eCAPITAL to Accelerate Market Penetration in Embedded Vision and Autonomous Driving

News /

Hannover, Germany, September 20th, 2017 – videantis GmbH, a leading supplier of visual computing solutions, today announced the successful closing of a growth financing round led by eCAPITAL. The visual computing technology of videantis is integrated into intelligent cameras and smart sensing systems, enabling autonomous driving, advanced driver assistance systems (ADAS), drones, novel smartphone cameras,

Videantis Receives Growth Financing from eCAPITAL to Accelerate Market Penetration in Embedded Vision and Autonomous Driving Read More +

“How to Test and Validate an Automated Driving System,” a Presentation from MathWorks

Algorithms, Information Access and Analytics, MathWorks, Object Identification, Object Tracking, Optical Character Recognition, Processors, Software, Tools, Videos /

Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Test and Validate an Automated Driving System" tutorial at the May 2017 Embedded Vision Summit. Have you ever wondered how ADAS and autonomous driving systems are tested? Automated driving systems combine a diverse set of technologies and engineering skill sets from

“How to Test and Validate an Automated Driving System,” a Presentation from MathWorks Read More +

BDTI Demonstration of Computer Vision on Low-Cost Processors

Videos /

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company’s capabilities for creating efficient implementations of computer vision algorithms at the May 2017 Embedded Vision Summit. Specifically, Giddings demonstrates face detection running on a low-cost Renesas RZG family processor. The face detection algorithm was implemented by BDTI to run in real time with minimal

BDTI Demonstration of Computer Vision on Low-Cost Processors Read More +

BDTI Demonstration of Skillful Restructuring of 3D Sensing Algorithms

Videos /

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's capabilities for creating efficient implementations of computer vision algorithms at the May 2017 Embedded Vision Summit. Specifically, Giddings demonstrates Tango, Google’s 3D sensing technology, running on the Lenovo Phab 2 Pro smartphone, the first production device with this technology. This successful product was the

BDTI Demonstration of Skillful Restructuring of 3D Sensing Algorithms Read More +

BDTI Demonstration of Neural Network-Based Object Detection

Videos /

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's machine learning engineering services at the May 2017 Embedded Vision Summit. Specifically, Giddings demonstrates BDTI’s ability to design, train, and implement neural networks for specific use cases. For this demo, BDTI engineers implemented YOLO (You Only Look Once), an approach in which classification and

BDTI Demonstration of Neural Network-Based Object Detection 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.

Pages

Topics

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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