As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...

There’s a lot of debate about weight machines in the fitness world. Some people gravitate towards them because they seem a ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at ...

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

NASSCOM backs text and data mining exemptions for AI training in India, fuelling debate over copyright, consent, and creator compensation.

Banks and other institutions are eager to make use of the technology to lighten their burden, but they should be careful in ...