Bibek Bhattarai demystifies Intel AMX, explaining how this CPU architecture accelerates deep learning workloads via low-precision matrix multiplication and efficient data handling.

On the second day of Mayo Clinic's AI Summit in Rochester, Dr. Matthew Callstrom shared where the health system stands with its use of generative artificial intelligence tools.

Cilimkovic, M. (2015) Neural Networks and Back Propagation Algorithm. Institute of Technology Blanchardstown, 15, 3-7.

If you are a part of the semiconductor industry or simply someone interested in the field, you have likely heard what has become a common refrain: the back-end of the process is becoming more like the ...

In this paper, we first extend the Wirtinger derivative which is defined for complex functions to hyperbolic functions, and derive the hyperbolic gradient operator yielding the steepest descent ...

A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...

🐛 Description of the Bug I encountered steadily increasing RAM usage when using back propagation with sparse CSR matrices on CPU. Below is the reduced code, which for me produces this behavior. As ...

Overall, this algorithm can be very useful in certain use cases, specifically when we need to train a model with a non-differentiable forward pass. The algorithm is promising, and if the drawbacks ...