PROVIDER

“Quantizing Deep Networks for Efficient Inference at the Edge,” a Presentation from Facebook

Raghuraman Krishnamoorthi, Software Engineer at Facebook, delivers the presentation “Quantizing Deep Networks for Efficient Inference at the Edge” at the Embedded Vision Alliance’s September 2019 Vision Industry and Technology Forum. Krishnamoorthi gives an overview of practical deep neural network quantization techniques and tools.

“Quantizing Deep Networks for Efficient Inference at the Edge,” a Presentation from Facebook Read More +

PROPHESEE-HERO-ROBOTICS-Compressed-e1572252962140

Prophesee Closes $28M in Funding

PARIS – October 28, 2019 – Prophesee SA, inventor of the world’s most advanced neuromorphic vision system, today announced it has closed $28 million in funding, bringing its total funding to date to $68 million. Led by the European Investment Bank, the round also includes staged investments from commercial backers, including Prophesee’s existing investors such

Prophesee Closes $28M in Funding Read More +

MediaTek Demonstration of Video Object Detection

Victor Tyan, Deputy Director at MediaTek, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Tyan demonstrates how MediaTek's mass-market AI image processor, the MT8167, and its higher end variant, the MT8385, can run video object detection. The edge inference is made possible with these processors. Therefore, applications such as security and

MediaTek Demonstration of Video Object Detection Read More +

MediaTek Demonstration of AI Human Pose Tracking

Victor Tyan, Deputy Director at MediaTek, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Tyan demonstrates how MediaTek's latest AI smartphone processor, the Helio P90, can run complicated human pose tracking without a stereo camera, extracting depth information purely based on the understanding of human body in terms of where limbs

MediaTek Demonstration of AI Human Pose Tracking Read More +

Robotic Materials Demonstration of Its All-in-one Embedded Intelligence for Robotic Manipulation

Austin Miller, lead engineer at Robotic Materials, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Miller demonstrates the company's recent SmartHand product, a robotic gripper with embedded 3D perception, computation, and a complete programming environment. Accessible by any Wi-Fi-enabled tablet or computer, the hand can be programmed

Robotic Materials Demonstration of Its All-in-one Embedded Intelligence for Robotic Manipulation Read More +

BlinkAI Technologies Demonstration of Machine Learning Low-Light Enhancement

Bo Zhu, CTO and Co-founder of BlinkAI Technologies, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Zhu demonstrates the company's real-time low-light video enhancement technology, which can be deployed on low-power embedded systems in smartphone, automotive, and security/surveillance industries. He then presents a sequence of videos showcasing this enhancement in various

BlinkAI Technologies Demonstration of Machine Learning Low-Light Enhancement Read More +

NVIDIA-Deep-Learning-Platform

Automatic Defect Inspection Using the NVIDIA End-to-End Deep Learning Platform

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Quality requirements for manufacturers are increasing to meet customer demands. Manual inspection is usually required to guarantee product quality, but this requires significant cost and can result in production bottlenecks, lowered productivity, and reduced efficiency.  Defect inspection

Automatic Defect Inspection Using the NVIDIA End-to-End Deep Learning Platform Read More +

Lattice_sensAI_Press_Graphic

Award-winning Lattice sensAI Solutions Stack Further Extends Lead in Ultra Low-power AI at the Edge

Updated sensAI Solutions Stack Delivers Highly Accurate, Low Power AI Solutions for Industrial, Automotive, Compute, and Consumer Applications HILLSBORO, OR – October 23, 2019 – Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today announced the availability of performance enhancements and new and improved application reference designs for its award-winning sensAI™ solutions stack.

Award-winning Lattice sensAI Solutions Stack Further Extends Lead in Ultra Low-power AI at the Edge Read More +

Strawberries

Deep Learning Economies of Scale: How Real-World Computer Vision is Changing

This article was originally published by BDTI. It is reprinted here with the permission of BDTI. When we launched the Embedded Vision Alliance in 2011, we did so out of the conviction that computer vision was ready to become a ubiquitous technology that would be used to solve numerous important, real-world problems. And, indeed, it’s

Deep Learning Economies of Scale: How Real-World Computer Vision is Changing Read More +

car_575px

New Arm IP Brings Intelligent, Immersive Experiences to Mainstream Markets

News Highlights: Arm Ethos-N57 and Ethos-N37 NPUs; extending the range of Arm Machine Learning (ML) processors to enable Artificial Intelligence (AI) applications in mainstream devices Arm Mali-G57 GPU; the first mainstream Valhall architecture-based GPU delivering 1.3x better performance over previous generations Arm Mali-D37 DPU; delivering a rich display feature set within the smallest area for

New Arm IP Brings Intelligent, Immersive Experiences to Mainstream Markets 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

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

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