We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Large language models already read, write, and answer questions with striking skill. They do this by training on vast ...

Lewis Wallis and Dr Samuel Dicken review 2025 developments in ultra-processed foods (UPF) and high fat, sugar and salt (HFSS) ...

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

Ai2 updates its Olmo 3 family of models to Olmo 3.1 following additional extended RL training to boost performance.

A practical guide to building AI prompt guardrails, with DLP, data labeling, online tokenization, and governance for secure ...