In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Abstract: This paper presents attention-based deep neural networks for high-dimensional microwave modeling to predict behavior of spatio-temporal modulated (STM) non-reciprocal bandpass filters ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...
The mode transition of combined-cycle inlets, governed by sidewall constraints, is inherently characterized by significant ...
A research team affiliated with UNIST has unveiled an integrated air pollution analysis framework that enables more precise ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...
Abstract: This article proposes a 0D model for Nanosecond Pulsed Discharges (NPD). The model incorporates the high-frequency transmission line, a lumped equivalent circuit for the load, a ...