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.

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.

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 ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

Startups developing voice AI technology and applications are having their moment. Model builders like ElevenLabs and Cartesia have raised millions of dollars in the last few months.

Objective Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive ...

This repository is a curated collection of code implementations for various types of machine learning predictions. Whether it's classification, regression, clustering, or time series forecasting, this ...