From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
Los Alamos Reporter

LANL: Researchers Show Some Quantum Learning Models Are Classically Simulable

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

AI is reshaping how work gets done by recognizing patterns | Opinion

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...
Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

A smarter way to build vaccines: Scientists harness AI to target emerging alphaviruses

A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
IEEE

Non-Idle Machine-Aware Worker Placement for Efficient Distributed Training in GPU Clusters

Abstract: Distributed training (DT) has emerged as a solution to address the growing computational resource demands of training large-scale machine learning models. To meet this need, major cloud ...
Communications of the ACMOpinion

The Indispensable Role of User Simulation in the Pursuit of AGI

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...