New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

A new study using advanced deep-learning brain age estimation shows that World Trade Center responders with PTSD exhibit signs of accelerated brain aging.

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Choosing the right blueprint can accelerate learning in visual AI systems. Artificial intelligence systems built with biologically inspired structures can produce activity patterns similar to those ...

RF engineers are advancing 6G through terahertz communications, AI-driven network optimization, and Open RAN architectures, with major university research centers and NSF funding driving innovation ...

BEIJING, Dec. 5, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), is a leading global Hologram Augmented Reality ("AR") Technology provider. On the basis of ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) (WiMi or the Company), is a leading global Hologram Augmented Reality (AR) Technology ...

Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...

A new approach to designing AI based on biologically inspired architecture could cut the number of data centers needed to run ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being ...