A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by ...

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.

Researchers introduce Cheese3D, an AI tool that tracks mouse facial expressions to predict brain states and anesthesia depth with EEG accuracy.

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

Source code for pre-processing datasets, running experiments, and generating the figures of the Science Advances paper Correlations inference attacks against machine learning models by Ana-Maria Cretu ...

Muscle spasticity remains a challenging motor complication following stroke. Although botulinum toxin (BTX) injection is widely accepted for the management of focal spasticity, therapeutic responses ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Abstract: In this paper, a digital three-dimensional acoustic vector sensor system is proposed to enhance the frequency response flattening and noise handling performance through advanced signal ...

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.

We have carried out theoretical analysis, Monte Carlo simulations and machine-learning analysis to quantify microscopic rearrangements of dilute dispersions of spherical colloidal particles from ...