Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

The Global NLP in Education Market is projected to grow at a CAGR of 12.8% from 2026 to 2033, according to a new report ...

Learning in the era of AI no longer means learning once for knowledge—it's proving you can learn the next thing, quickly and ...

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring.

Advancements in detecting pre-ignition in hydrogen engines through machine learning could enhance engine reliability and support the shift to clean transport.

Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an injury and even provide insights into mortality after spinal cord damage, ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Abstract: Reading acquisition is one the main keys for school success and a crucial component for empowering individuals to participate meaningfully in society. Yet, it is still a challenging skill to ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...