Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don't ...

When you're trying to communicate or understand ideas, words don't always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept—for example, diagramming a ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

A breakthrough study reveals carbyne's unique vibrational states within carbon nanotubes, enhancing its potential for ...

Machine-learning algorithms can now estimate the "brain age" of infants with unprecedented precision by analyzing electrical ...

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

By consolidating machine learning approaches into a coherent map, I-Con is transforming how researchers think about model design — speeding up innovation and revealing fresh paths in the AI ...

have developed a machine learning model that permits the prediction of bespoke Cas9 proteins that are more uniquely suited to specific targets and can be tailored with designer properties for ...

After training a machine learning model on the patients’ functional brain images and clinical assessments, the researchers found that the model was able to predict an individual’s PTSD symptom ...