This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in contemporary artificial intelligence.

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

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

As early adopters have discovered, Copilot delivers real transformation only when it becomes an integral part of critical ...

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.

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

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 ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Introduction This article outlines the research protocol for a multicentre, randomised, controlled study designed to evaluate the therapeutic effect of a modified olfactory training (MOT) based on ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...