Blog Posts

This blog post was originally published at Imagination Technologies' website. It is reprinted here with the permission of Imagination Technologies. In our report on last year’s Embedded Vision Summit, we observed that machine learning was at the top of the classic Gartner hype cycle. Imagination was of course once again in attendance at the show […]

This blog post was originally published at Camio's website. It is reprinted here with the permission of Camio. How a top real estate company is leading the security industry towards modernization Securing its 800 properties is cheaper and more effective with Camio’s use of modern cloud infrastructure and AI. In planning video security for 800 properties,

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Researchers from NVIDIA developed a deep learning-based system that can produce high-quality slow-motion videos from a 30-frame-per-second video, outperforming various state-of-the-art methods that aim to do the same. The researchers will present their work at the annual

This blog post was originally published at Cadence's website. It is reprinted here with the permission of Cadence. This week it is the Embedded Vision Summit in Santa Clara. Over the last few years, vision has gone from something esoteric to a mainstream part of many systems, with ADAS in automobiles, smart security cameras that analyze

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. At the Embedded Vision Summit in Santa Clara this week, I’m excited to meet with fellow innovators and leaders – all working toward the space of bringing data visualization to life. Computer vision is the science and

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