Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

If you want to spoil a sailor's day, then a ship collision is the way to do it. That's why Texas A&M University has come up ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.