Artificial intelligence systems are often designed to optimize efficiency, speed, and accuracy. Human decision-making, ...

With trial and error, repetition and praise, when a puppy hears "Sit," they learn what they're expected to do. That's reinforcement learning, and it's a complex subject that fascinates neuroscientist ...

On Thursday, the Wu Tsai Neurosciences Institute welcomed Dani Bassett, a professor of Bioengineering at the University of Pennsylvania and an incoming professor of Biomedical Engineering at Yale ...

Understanding the underlying biological mechanisms of human and animal behavior can help advance critically important industries such as medicine, healthcare, robotics, artificial intelligence (AI), ...

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It produces dopamine, a neuromodulator that helps predict future rewards based on ...