The Xiaomi 17 Ultra features a triple-camera system consisting of a 14mm ultra-wide lens, a 23mm Leica 1-inch ultra dynamic ...

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

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 ...

We are living at a time when large language models increasingly make choices once reserved for people. From writing emails to ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Learn how to run local AI models with LM Studio's user, power user, and developer modes, keeping data private and saving monthly fees.

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 ...

Abstract: Many modern Deep Learning (DL) systems have achieved impressive state-of-the-art results by combining individual sub-systems, including foundation models, to form increasingly more complex ...

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

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

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