New approach flips the script on enterprise AI adoption by using input data you already have for fine-tuning instead of needing labelled data.

This thinking capability was first introduced by Google in its Gemini 2.0 Flash Thinking Experimental AI model, which was ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said ...

Prompt engineering is a newer field, which makes courses and certifications a valuable way to demonstrate experience.

Ant Group reportedly reduced AI training costs by 20% with Chinese-made chips, using MoE techniques to rival Nvidia despite ...

Machine learning (ML) is revolutionizing industries, from healthcare to finance, and even entertainment. If you’ve ever ...

How is an AI different from a neural net? How can a machine learn? What is an AGI? And will DeepSeek really change the game?

As noted earlier, TCAD-based AI models are ideal when limited fab data is available. As the process starts to mature and the ...

The AI race has to date been defined by scale – the larger the parameter-set the better – with Large language models (LLMs) dominating. However, as AI maturity has evolved, there is a growing ...

In 2025, turnover and retention are among senior living operators’ biggest challenges. Some operators are dealing with it by taking cues from big ...

We spoke with Mark Boothby, Professor of Immunology at Vanderbilt University, about his experience publishing with eLife.

Researchers have developed a powerful AI tool, built on the same transformer architecture used by large language models like ChatGPT, to process an entire night's sleep. To date, it is one of the ...