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

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

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

In a revealing Genomic Press Interview published today in Genomic Psychiatry, Dr. Maria Margarita Behrens recounts an extraordinary scientific journey that wound through four countries and multiple ...

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 ...

Researchers discovered that those with long-term involvement in creative activities have a more ‘youthful’ brain age on ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Abstract: Proteins play crucial roles in diverse biological functions. Accurately annotating their functions is essential for understanding cellular mechanisms and developing therapies for complex ...

Abstract: Electromagnetic computational imaging (ECI) offers a promising solution to electromagnetic inverse scattering problems (ISPs). Whereas it is challenged by its ill-posed nature and ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers study the "conversations" between cells inside the body. The tools, called ...