The U.S. National Institute of Standards and Technology has released a preliminary draft of its Cybersecurity Framework Profile for Artificial Intelligence which provides guidance for the secure ...

In 2023, OpenAI trained GPT-4 on Microsoft Azure AI supercomputers using tens of thousands of tightly interconnected NVIDIA GPUs optimized for massive-scale distributed training. This scale ...

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

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 ...

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 ...

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.

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

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