Blog Posts

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Researchers from NVIDIA, led by Guilin Liu, introduced a state-of-the-art deep learning method that can edit images or reconstruct a corrupted image, one that has holes or is missing pixels. The method can also be used to […]

This blog post was originally published at Cadence's website. It is reprinted here with the permission of Cadence. When I was at embedded world in Nuremberg recently, I ran into Jeff Bier, the head of the Embedded Vision Alliance, and the organizer of the Embedded Vision Conference. He gave me a copy of a survey that

Artificial intelligence on mobile devices is no longer dependent on a connection to the cloud. As evidenced by the hottest demos at CES this year and all the recently announced smartphone flagships, AI has entered the edge device, and has quickly become a marketing selling point. For many reasons, including security, privacy and response time,

The following Q&A session, with questions and answers both authored by Lattice Semiconductor, provides the company's perspective on various embedded vision topics and trends. How have technological advancements accelerated the development of intelligent, vision-enabled devices at the Edge? Many of the key components and tools crucial to the rapid deployment of embedded vision solutions have

This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. 1. It can snow in Barcelona! Since the venue has quite a few areas that are located outside — there’s many outdoor “networking gardens” where you can grab a coffee, sit down, and have a conversation —

Embedded 360° view vision-based systems with multiple high-resolution cameras have found their way into various applications such as video surveillance, object detection, motion analysis, etc. In such systems, multiple real-time camera streams (up to six) are processed together frame by frame, corrected for distortion and other image artifacts, adjusted for exposure and white balance, and

Every year we see amazing technology at CES, including innovations in automotive, smart robots, drones, AR/VR, smart home appliances and many other technologies. One of the things that’s exciting to follow is the advancement from expensive, futuristic gadgets to useful, practical devices. This year showed huge progress in that direction, but also included a fair

This blog post was originally published in the mid-November 2017 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. As a kid, I was fascinated with electronics – especially digital electronics. The idea that one could build a computing machine out of simple logic gates was a revelation, and designing

The brand-new iPhone X has integrated neural engines for face recognition, but this is just the beginning. Embedded neural engines and dedicated intelligence processors are bringing artificial intelligence (AI) to the edge devices, breaking the dependence on the cloud. The benefits of processing on the edge include reduced latency, full network coverage, increased privacy and