Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...

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

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 ...

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

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 ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Deep neural networks can perform wonderful feats thanks to their extremely large and complicated web of parameters. But their complexity is also their curse: The inner workings of neural networks are ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...

eSpeaks' Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...