How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers at Reichman University's Baruch Ivcher School of Psychology and the Dina ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

AI neural networks, inspired by the human brain are a foundational technology in the field of artificial intelligence. They are designed to recognize patterns and make decisions with a level of ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

If you would like to know more about the term you may have heard in science-fiction films and more recently associated with artificial intelligence. This quick guide will give you overview of what a ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...