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 ...

Engineering

Using machine vision for 3-D printing

Researchers from Carnegie Mellon University's College of Engineering have developed machine vision technology that can autonomously identify and sort metal 3-D printing powder types with an accuracy of more than 95 percent—more ...

Computer Sciences

Few-shot learning AI accurately 'senses' home appliances

NIALM (Non-Intrusive Appliance Load Monitoring) can "sense" appliances using electrical power. NIALM is used in homes and small buildings. For this, NIALM can require hundreds of labeled power signal images from each appliance ...

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.

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