Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...

Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Shevitski, B., Watkins, Y., Man, N. and Girard, M. (2023) Digital Signal Processing Using Deep Neural Networks Evaluating the Effectiveness of Hybrid Autoencoder/ Transformer Models for RF Data. arXiv ...

Deep learning — which uses multilayered neural networks to elicit patterns from data — was getting really hot back then. There was already a lot of excitement about applications in image ...

By processing complex data formats, deep learning has transformed various domains, including finance, healthcare, and e-commerce. However, applying deep learning models to tabular data, characterized ...

The proposed AE model is more accurate in detecting anomalies from routine radiotherapy plans compared to the existing deep-learning models. The combination of feature maps and the multi-task AE model ...