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

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a problem to solve and an AI chatbot at his fingertips. After leaving high ...

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.

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...

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

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

Autonomous driving systems increasingly rely on data-driven approaches, yet many still struggle with reasoning, handling rare scenarios, and transparently explaining their actions. A new study ...