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The method, which performs a process called “image inpainting”, could be implemented in photo editing software to remove unwanted content.

If you are interested in embedded vision, then the must-attend event is the annual Embedded Vision Summit.

Almost every player in the silicon industry has come out with some version of AI processor, under many names.

The following Q&A session provides Lattice Semiconductor's perspective on various embedded vision topics and trends.

Computer vision, AI, cameras, automotive, and intelligent sensing were all key topics at the show.

High-performance computing platforms have been moving toward using FPGAs in tandem with CPUs to provide specialized hardware acceleration.

Every year we see amazing technology at CES, including innovations in automotive, smart robots, drones, AR/VR, and many other technologies.

Cameras provide a link between the physical and the digital worlds, and the information they gather goes well beyond that of A/D converters.

Embedded neural engines and dedicated intelligence processors are bringing artificial intelligence (AI) to the edge devices.

Cloud computing plays an important role in the proliferation of visual intelligence into new applications.