Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

India’s AI story has often been framed around elite enterprise adoption and high-cost models trained far from its classrooms. Redrob is attempting to reverse that logic. With a fresh $10 million ...

Protein aggregation exhibits a dual role in biology, especially in neural systems. While pathogenic aggregates of proteins such as Aβ, tau, and α-synuclein ...

Taofeek Adeshina Yusuff is a business analyst and digital transformation strategist based in the United States. With experience in business intelligence, emerging technologies, and enterprise ...

Abstract: Cultivated land is a critical resource and foundation for food production, and the automatic and efficient extraction of cultivated land change detection information is of significant ...

Abstract: Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model ...

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

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 ...

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