AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Earlier this month, researchers at the Massachusetts Institute of Technology (MIT) and Harvard University presented a novel method for machine learning to gauge the confidence of its own predictions ...

“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 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.

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 ...

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 ...

The annual NEURAL Conference is the only regional graduate trainee neuroscience conference of its kind and the cornerstone of the efforts of the UAB Neuroscience Roadmap Scholars Program. The ...

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 ...