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

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 ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

“It gives residents the freedom to just be. There are trees, plants, some astroturf and squishy material under the ...

Abstract: The ongoing global health challenge posed by diabetes necessitates a critical understanding of all generated data streamed from sensors. To address this, our study presents a robust ...

The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...

This report covers key regulatory updates, new model launches, and funding and M&A activity shaping the market.

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Current AI models fail to recognize 'relational' image similarities, such as how the Earth’s layers are similar to a peach, ...

Abstract: Model-based control for continuum robots is often based on the piecewise constant curvature (PCC) assumption. However, the actual physical motions of continuum robots deviate significantly ...