Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

More than 12 years ago, Steam creator Valve attempted to usurp Microsoft's hold on PC gaming by introducing the first Steam Machine. The reliance on Linux and a loose hold on OEM hardware ...