To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...

Children’s eyes may hold the secret to how they learn from videos, and new research suggests artificial intelligence could unlock it. By pairing eye-tracking technology with advanced neural networks, ...

The advent of artificial intelligence (AI) has revolutionized various sectors, and among them is the realm of interspecies ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

When Data Mining Meets Large Models: A New Paradigm of Data Value Mining in the Age of Artificial Intelligence ...

AI hallucinations occur when LLMs generate false or misleading information. Explore how the researchers are tackling this ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Artificial intelligence is rapidly changing the landscape of digital marketing, empowering businesses to deliver smarter, ...

AI tools like YouTube’s Content ID and Meta’s Rights Manager boost copyright detection using large datasets, but high costs and limited access to quality data remain key challenges, say experts.

With increasingly complex market dynamics, traditional personalization alone is no longer sufficient. Enter predictive AI ...

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

It holds the key to overcoming longstanding challenges and unlocking their full potential by personalising learning, boosting inclusivity, and preparing the next generation for the future.