The problem with many deep learning models that can carry out object recognition is that the data used for this is often not reflective of the real world.

As artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring to $4.8 trillion by 2033—the technology seems equipped to handle any task.

A paper published in Scientific Reports in June comparing various object recognition models came to the conclusion that people do not evaluate an object like a computer processing pixels, but ...

In a task measuring haptic object recognition ability, participants touch pairs of 3D-printed objects without looking at them and decide if they are exactly the same.

Machine-learning system tackles speech and object recognition, all at once Model learns to pick out objects within an image, using spoken descriptions Date: September 18, 2018 Source ...

The researchers also performed additional tests to reveal what strategies the differently trained models were using for object recognition tasks. In one, they asked the models to categorize images of ...

Similarly, Bing’s more powerful image search function, trained on object recognition models, will be able to better identify objects in photos, including products worn by people featured in the ...