This segment is expected to generate over USD 110 billion by 2034, driven by its critical role in enabling autonomous vehicles and ADAS functionalities. Image recognition technology allows AI ...

CMOS: The clear market leader (>80% share) due to lower power consumption, integration of image-signal processing, and scaling advantages. CCD: Retains niche applications in scientific and high-end ...

Autonomous mobility already exists, to some extent. Building an autonomous vehicle that can safely navigate an empty highway ...

During the automotive portion of his speech, Huang referred to AlexNet, a neural network architecture that gained widespread attention in 2012 when it won a computer image recognition contest.

AI-based image recognition is a powerful tool used in many sectors, from healthcare to retail and autonomous driving. It enables machines to interpret and process visual data efficiently.

Putting autonomous vehicles on public roads takes major resources beyond most of our means. But we can explore all the same general concepts at a smaller scale by modifying remote-control toy cars ...

The two companies have signed a preliminary agreement to look into developing and deploying an autonomous vehicle platform, according to a blog posted by Waymo. The language used by the companies ...