Model Response Optimization Gains Traction as More Accurate Term for AI Search Practices

Marketing professionals question whether "Generative Engine Optimization" accurately describes work focused on shaping ...
Semiconductor Engineering

Formal Verification Fundamentals Remain Non-Negotiable In The New Verification Revolution

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...
Scientific Research Publishing

A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data ()

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

Fundamental, which just closed a $225 million funding round, develops "large tabular models" (LTMs) for structured data like tables and spreadsheets.
IEEE

Enhancing the Teaching of Data Structures and Algorithms using AI Chatbots

Abstract: This paper explores the potential of AI chatbots in enhancing the teaching of data structures and algorithms (DSA) in computer science education. We present our experience using AI chatbots ...
IEEE

DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data

Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...