The panelists demystify AI agents and LLMs. They define agentic AI, detail architectural components, and share real-world use cases and limitations. The panel explores how AI transforms the SDLC, ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

On the other hand, organizations that train managers to lead AI as part of their teams gain a critical edge. They make better ...

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

This paper examines the possibility of machine learning AI integration in shipboard SynRM diagnostics. Data from simulations performed in Matlab are used to train the ML models. Optimization is ...

Circuit Retrieval and Optimization with Parameter Guidance using LLMs” was published by researchers at Duke University and Synopsys. Abstract “Modern very large-scale integration (VLSI) design ...

Katanemo Labs' new LLM routing framework aligns with human preferences and adapts to new models without retraining.

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

Based on their intuition of how human agents reason while responding to customers, researchers at Capital One developed a framework in which a team of expert AI agents, each with different expertise, ...

A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

“Look deep into the nature and then you will understand everything better” - Albert Einstein This quote encapsulates the philosophy behind Bio-Inspired Algorithms. Exploring the numerous Bio Inspired ...