Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Artificial-intelligence systems have made remarkable progress in recent years, but they still struggle with the kind of ...

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Abstract: The focus of this article is on developing a prediction-based controller for a class of hysteretic nonlinear systems with input and output delays to track desired trajectories. In comparison ...

Abstract: Solid-state transformers (SSTs) with input-series/output-parallel (ISOP) configuration offer a convenient solution for ac/dc conversion due to their ...

TrustRAG is a configurable and modular Retrieval-Augmented Generation (RAG) framework designed to provide reliable input and trusted output, ensuring users can obtain high-quality and trustworthy ...

A modern NASCAR race engine is a tightly controlled, pushrod V8 built for 500-mile reliability at high average RPM, with each ...

Prompt injection is becoming an even bigger danger as AI is becoming more agentic, giving it the ability to act on behalf of ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Executives with a combined 130+ years of tenure on the company’s decades of work to get people to talk to their PCs—and why ...