Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

The accelerating power of machine learning in diagnosing disease and in sorting and classifying health data will empower physicians and speed-up decision making in the clinic. This Collection is ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Explore the fundamental role of mathematics in Artificial Intelligence and Machine Learning. Understand how linear algebra, ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...