tag: computer vision

Synthesizing Computer Vision Designs To Hardware
By Mike Fingeroff - 26 Jul, 2018 - Comments: 0

Computer vision is one of the hottest markets in electronic design today. Digital processing of images and video with complex algorithms in order to interpret meaning has almost as many applications and markets as there are uses for the human eye. The biggest problem that designers face is that the computer vision system requirements and algorithms change quickly and often. Even the targ... » read more

Accelerate Computer Vision Design Using High-Level Synthesis
By Mentor, a Siemens Business - 25 Jul, 2018 - Comments: 0

Computer vision solutions are all around us, in cars, consumer products, security, retail, and agriculture. But, designing these solutions is not easy, mainly because of constant algorithm upgrades and related requirements changes. This means that wherever the team is in the RTL creation and verification flow, they might have to start over, which can cause an unacceptable delay in the productio... » read more

Week in Review: IoT, Security, Auto
By Jeff Dorsch - 20 Jul, 2018 - Comments: 0

Cybersecurity Rambus signed a patent license agreement with Socionext, a designer of system-on-a-chip devices. Socionext will use Rambus technology in memory controllers, serializers/deserializers, and security applications. Netskope acquired Sift Security, adding 10 technical employees to its headcount of more than 500 people; financial terms weren’t revealed. Sift CEO Neil King was tapp... » read more

The Week in Review: IoT
By Jeff Dorsch - 13 Apr, 2018 - Comments: 0

Finance Palo Alto, Calif.-based Armis raised $30 million in Series B funding, bringing total funding for the provider of enterprise Internet of Things security to $47 million. Red Dot Capital Partners of Israel led the round, joined by Bain Capital Ventures. Existing investors Sequoia Capital and Tenaya Capital also participated in the latest funding, which Armis will use to expand sales and m... » read more

System Bits: March 20
By Ann Mutschler - 20 Mar, 2018 - Comments: 0

Design has consequences Carnegie Mellon University design students are exploring ways to enhance interactions with new technologies and the power of artificial intelligence. Assistant Professor Dan Lockton teaches the course, "Environments Studio IV: Designing Environments for Social Systems" in CMU's School of Design and leads the school's new Imaginaries Lab. “We want the designers of ... » read more

System Bits: Feb. 13
By Ann Mutschler - 13 Feb, 2018 - Comments: 0

Enabling individual manufacturing apps Researchers at the Fraunhofer Institute for Computer Graphics Research IGD focused on Industrie 4.0 recognize that manufacturing is turning toward batch sizes of one and individualized production in what is sometimes referred to as ‘highly customized mass production.’ [caption id="attachment_24131609" align="aligncenter" width="300"] The scanning ... » read more

How Neural Networks Think (MIT)
By Technical Paper Link - 18 Oct, 2017 - Comments: 0

Source: MIT’s Computer Science and Artificial Intelligence Laboratory, David Alvarez-Melis and Tommi S. Jaakkola Technical paper link MIT article General-purpose neural net training Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data, reminded MIT research... » read more

System Bits: Aug. 22
By Ann Mutschler - 22 Aug, 2017 - Comments: 0

Bioimaging technique tracks multiple in vivo interactions To make it possible to quickly and economically monitor multiple molecular interactions in a large area of living tissue – such as an organ or a small animal — Rensselaer Polytechnic Institute researchers have created an approach to optical imaging that could have applications in medical diagnosis, guided surgery, or pre-clinical dr... » read more

Computer Vision Powers Startups, Bleeding Edge Processes
By Ann Mutschler - 10 Aug, 2017 - Comments: 0

You can’t turn around these days without walking into a convolutional neural network…..oh wait, maybe not yet, but sometime in the not-too-distant future, we’ll be riding in vehicles controlled by them. While not a new concept, CNNs are finally making the big time, as evidenced by a significant upswell in startup activity, tracked by Chris Rowen, CEO of Cognite Ventures. According to h... » read more

System Bits: Aug. 8
By Ann Mutschler - 08 Aug, 2017 - Comments: 0

Improving robot vision, virtual reality, self-driving cars In order to generate information-rich images and video frames that will enable robots to better navigate the world and understand certain aspects of their environment, such as object distance and surface texture, engineers at Stanford University and the University of California San Diego have developed a camera that generates 4D images... » read more

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