AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Hydrogen peroxide is widely used in everyday life, from disinfectants and medical sterilization to environmental cleanup and ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

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 ...

More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.

Over the course of 2025, deepfakes improved dramatically. AI-generated faces, voices and full-body performances that mimic ...

In 2025, artificial intelligence moved from pilot projects to practical use across the U.S. military. From Army intel and ...

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...