Machine learning is a flexible set of tools for identifying patterns and relationships in complex data and for making decisions based on those data. A machine learning model can allow a vehicle to ...

Recent advances in machine learning (ML) have led to newer model architectures including transformers (large language models, LLMs) showing state of the art results in text generation and image ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...