The Brain Modeling Toolkit (BMTK) is an open-source platform for creating, simulating, and analyzing neural networks at multiple biological scales. Paired with BMTool and high-performance computing, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

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 ...

Welcome to the registration form for the 12th Annual NEURAL Conference, which will take place in person on June 24-26, 2026, at the University of Alabama at Birmingham (UAB). Any questions regarding ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

“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 ...

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used a phenomenon called “quantum tunnelling” to ...