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.

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

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 for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

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

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Sensors, computer vision models, and artificial intelligence have combined to help CEAT Tyres’ Chennai factory reduce defects, waste and energy use, a.