A new study shows that integrating artificial intelligence with advanced proximity and pressure sensors allows a commercial bionic hand to grasp objects in a natural, intuitive way—reducing cognitive ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Scientists integrated proximity and pressure sensors into a commercial bionic hand, and then trained an artificial neural ...

The Lorenz attractor is an example of complex dynamical systems. Two neuroscientists have discovered a way to learn complex ...

If you are curious and want to learn how does AI work, well, follow our detailed explainer on Artificial Intelligence's ...

Whether you're reaching for a mug, a pencil or someone's hand, you don't need to consciously instruct each of your fingers on ...

Artificial intelligence startup Anthropic PBC says it has come up with a way to get a better understanding of the behavior of the neural networks that power its AI algorithms. Because neural networks ...

An artificial neural network (ANN) is a type of machine learning that identifies patterns from data to make predictions about its features. Scientists like Grace Lindsay, computational neuroscientist ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...