Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new ...

Machine learning algorithm that predicts properties' values benefits housing market, says study by Carnegie Mellon University Editors' notes ...

PyTorch is an open source machine learning framework used for developing deep learning models. Originally created by Meta AI (the Facebook owner's AI research arm) in 2016, it is now maintained ...