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 ...

Computer Sciences

Training machines to learn more like humans do

Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable representation over ...

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 ...

Robotics

Warehouse robots that feel by sight

More than a decade ago, Ted Adelson set out to create tactile sensors for robots that would give them a sense of touch. The result? A handheld imaging system powerful enough to visualize the raised print on a dollar bill. ...

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 ...

page 1 from 3