In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

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 ...

Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...

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

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Neural-network processors accelerate AI program execution while development tools help you get to market fast.

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.

“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 ...

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...