When designing computer vision technology, there's a real fork in the road as to whether a company should use facial data for ...

Loss prevention is a powerful use case for artificial intelligence in retail, experts said at the NRF 2026 retail conference ...

Koch, who studied vision, thought that by measuring people's brain responses as they looked at special optical illusions, ...

Industry-focused artificial intelligence, growing adoption of agentic systems and edge AI, “born in the AI era” cyberattacks ...

As all lenders have “skin in the game” on every loan, rigorous quality control across the lending lifecycle is imperative. However, manual reviews of appraisals, property condition, renovation ...

Abstract: Remote inference allows lightweight edge devices, such as autonomous drones, to perform vision tasks exceeding their computational, energy, or processing delay budget. In such applications, ...

[Dennis] of [Made by Dennis] has been building a Voron 0 for fun and education, and since this apparently wasn’t enough of a challenge, decided to add a number of scratch-built improvements and ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Abstract: The rapid advancements of technology have encouraged the growth of the Internet of Things (IoT), which has transformed how individuals interact with their environments. Among its many ...

For decades, the retail industry has faced the same persistent problems of empty shelves, pricing errors and inventory discrepancies. Despite having spent billions of dollars on data analytics and ...