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

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

The University of Texas at Austin National Science Foundation Artificial Intelligence Institute renewal means further ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

A global study shows machine learning improves survival predictions for hospitalised cirrhosis patients, outperforming ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely, successful machine learning (ML) tends to rely on large, high quality ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...