Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

AI is quietly transforming how news is created and consumed. But when prediction replaces verification, the real question is ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Increasingly, the focus is on how AI can become a trusted partner to human talent, working in tandem to elevate not just ...

Cybersecurity experts say AI and automation are changing how much impact manipulated data can have on government technology systems.

A new technical paper titled “A Tensor Compiler for Processing-In-Memory Architectures” was published by researchers at ...