From large language models to whole brain emulation, two rival visions are shaping the next era of artificial intelligence.

Brain-inspired Spiking Neural Networks (SNN) and the parallel hardware necessary to exploit their full potential have promising features for robotic application. “Animal brains still outperform even ...

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 ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

Over the last few years the idea of “conditional computation” has been key to making neural network processing more efficient, even though much of the hardware ecosystem has focused on general purpose ...

Obsessive-compulsive disorder (OCD) is a neurological disorder characterized by repeated behaviors such as cleaning and checking despite clear objective evidence of cleanliness, orderliness, and ...

Rachelle Dené Poth is a Spanish and STEAM emerging technology teacher. She is also an EdTech IT Influencer and holds a Juris Doctor and a Ph.D. in instructional technology. In addition to teaching, ...

Dr. Tam Nguyen receives funding from National Science Foundation. He works for University of Dayton. There are many applications of neural networks. One common example is your smartphone camera’s ...