Automotive

AI model speeds up high-resolution computer vision

An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection.

Machine learning & AI

Mineralogy meets zero-shot computer vision

Identifying minerals is a complex and time-consuming problem for geologists, often taking anywhere from 30 minutes to several days per sample. Further complicating the situation is the fact that a sufficient portion of minerals ...

Automotive

Extra 'eye' movements are the key to better self-driving cars

Andrea Benucci and colleagues at the RIKEN Center for Brain Science has developed a way to create artificial neural networks that learn to recognize objects faster and more accurately. The study, recently published in the ...

Computer Sciences

Protecting computer vision from adversarial attacks

Advances in computer vision and machine learning have made it possible for a wide range of technologies to perform sophisticated tasks with little or no human supervision. From autonomous drones and self-driving cars to medical ...

Hi Tech & Innovation

In-sensor computing to speed up machine vision

By applying in-sensor computing of analog data, a team of researchers at Vienna University of Technology's Institute of Photonics has developed a way to speed up machine vision. In their paper published in the journal Nature, ...

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