Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Machine vision technology is being used for a robotic weed management system that avoids the environmental effects of herbicides and fills the agricultural labour gap.<br /><br /> ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...