AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...

Labs using molecular, cellular and systems approaches to study axon guidance, typical development of neurobiological systems/behavior or mechanisms of neural repair, from model organisms to human ...

The shuttle buses referenced on the program are meant for our speakers and the NEURAL Travel Award recipients (non-UAB attendees). UAB attendees should utilize their normal means of transportation on ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

A coaxial-rotor aircraft, or CRA, is a deceptively simple machine: two rotors spinning in opposite directions on a single ...