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

Human vision—a challenge for AI

Achieving diversity in human vision is one of the major challenges for AI research. In the vast majority of cases, we are better than machines at understanding the world around us. But machines are catching up—slowly but ...

Robotics

Robots learn household tasks by watching humans

The robot watched as Shikhar Bahl opened the refrigerator door. It recorded his movements, the swing of the door, the location of the fridge and more, analyzing this data and readying itself to mimic what Bahl had done.

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

Computer vision technique to enhance 3D understanding of 2D images

Upon looking at photographs and drawing on their past experiences, humans can often perceive depth in pictures that are, themselves, perfectly flat. However, getting computers to do the same thing has proved quite challenging.

Robotics

New method allows robot vision to identify occluded objects

When artificial intelligence systems encounter scenes where objects are not fully visible, they have to make estimations based only on the visible parts of the objects. This partial information leads to detection errors, ...

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