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 ...
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 ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

Janmejaya Mishra’s Work Highlights The Expanding Role Of AI And Machine Learning In Predictive Intelligence Systems

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...
Wall Street Journal

Companies Say the Risks of ‘Open’ Artificial Intelligence Models Are Worth It

SAN JOSE, Calif.—Nvidia is mobilizing an effort to create “open” artificial intelligence models that make their code publicly available and provide an alternative to proprietary giants such as OpenAI ...
The New York Times

Anthropic’s Chief on A.I.: ‘We Don’t Know if the Models Are Conscious’

Dario Amodei shares his utopian — and dystopian — predictions in the near term for artificial intelligence. Hosted by Ross Douthat Produced by Sophia Alvarez Boyd Mr. Douthat is a columnist and the ...
FedScoop

DOJ ramps up AI for legal work, crime predictions, surveillance, inventory shows

From litigation to federal prisons to criminal investigations, artificial intelligence appears to have touched nearly every corner of the Department of Justice in the past year. Just two years ago, ...
University of California

Is artificial general intelligence here?

Will artificial intelligence ever be able to reason, learn and solve problems at levels comparable to humans? Four experts at the University of California San Diego believe the answer is yes – and ...
Medscape

Artificial Intelligence on Trial: Who’s Liable When Clinical Algorithms Go Wrong?

Margaret Lozovatsky, MD, FAMIA, has spent years helping health systems adopt digital tools designed to improve patient care. As a pediatric hospitalist, she has also seen what can go wrong. In one ...
IEEE

Research on Cross-Domain Multi-Source Threat Intelligence Automatic Fusion Based on SVM Algorithm

Abstract: With the increasing complexity and diversity of network threats, automatic fusion of cross-domain and multi-source threat intelligence has become an important research direction to ensure ...
Cfr.org

How 2026 Could Decide the Future of Artificial Intelligence

Artificial intelligence (AI) is entering a decisive phase—one defined less by speculative breakthroughs than by the hard realities of governance, adoption, and strategic competition. As AI systems ...
VentureBeat

Artificial Analysis overhauls its AI Intelligence Index, replacing popular benchmarks with 'real-world' tests

The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an ...