Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

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

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...

Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Learn the right VRAM for coding models, why an RTX 5090 is optional, and how to cut context cost with K-cache quantization.

Monitoring vital signs is essential for understanding human physiology and managing health conditions. Conventional methods ...