Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

Objectives Current prediction models for disease progression to AIDS in people living with HIV primarily rely on traditional statistical methods. This study aimed to develop and compare four machine ...

People with learning disabilities progress faster to severe type 2 diabetes and are at greater risk of dying from their condition than people without these disabilities, suggests research published in ...

Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...

Flatiron Health presents two new pieces of research demonstrating the potential of AI to advance oncology research across multiple tumor types The research, led by a multidisciplinary Flatiron team of ...

Flatiron Health presents two new pieces of research demonstrating the potential of AI to advance oncology research across multiple tumor types NEW YORK--(BUSINESS WIRE)--Flatiron Health today ...