After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

Specifically, the paper introduces a machine learning-based framework to optimize demand response programs. Using data from nearly 5,000 households in London, four clustering algorithms—K-means ...

New technologies using artificial intelligence are set to make tangible changes to our world in the coming decades, made possible by recent breakthroughs in machine learning. The new cluster ...

AI-driven neural networks enhanced the accuracy of predicting supermarket donation availability, optimizing collection routes ...

The researchers approached this problem differently by framing it as a constrained clustering problem in machine learning. This is a form of semi-supervised learning algorithm that identifies ...

Study aids the detection of riskware to help reduce cyberattacks A research project led by the Rochester Institute of ...

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...