Artificial intelligence has just redrawn the map of our genome’s control room, revealing hundreds of thousands of tiny DNA ...

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

NSLLM bridges LLMs and neuroscience Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI). However, as the user base expands and the frequency ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

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 ...

When embedded within a case management framework, Agentic AI can detect subtle anomalies, highlight inconsistencies, and surface patterns traditional systems miss.

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

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Abstract: Achieving a balance between accuracy and complexity remains a significant challenge for lithium batteries. The accuracy of the model is usually positively correlated with the complexity of ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.