Advances in high-throughput phenotyping (HTP) platforms together with genotyping technologies have revolutionized breeding of ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

The El Niño phenomenon in the South Atlantic and Benguela current, which flows along the west coast of southern Africa, have ...

Abstract: This research aims to design a hybrid swarm-optimized machine learning software defect prediction (HSoMLSDP) framework to predict software defects. We strive to do this by designing a ...

The framework proposed by the authors integrates uncertainty-aware mechanisms at multiple stages of the LLM lifecycle. It ...

Harvard researchers have developed a new artificial intelligence-driven framework to track and analyze ... Evolutionary Biology at Harvard, said the research pioneers a “new method for ...

This is where the new research comes in. It sets out a framework that can help scientists provide more robust predictions in rapidly changing environmental conditions. The research has been carried ...