A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data. This includes text from books and websites, images from public databases, ...

AI companies would be barred by federal law from using copyrighted material or personal data to train language models in new legislation introduced Monday ...

Model for predicting molecular crystal properties is readily adaptable to specific tasks, even with limited data ...

The Department of Environment and Natural Resources in Cagayan Valley (DENR-2) is scaling up its efforts in ecosystem and ...

To combat this, the company Synthesia spent a year compiling its own database of UK voices with regional accents ... because ...

Cloud architect Joey D’Antoni breaks down a six-part framework for building a resilient database security playbook across AWS ...

The study offers five actionable insights for humanitarian organizations seeking to adopt AI tools. First, deep problem ...

A study concludes that modern systems can learn sophisticated representations of emotion concepts, despite not being trained to do so ...

A software model from Google DeepMind put a more precise date on an important Latin text credited to a Roman emperor as a demonstration of its capabilities.

Deep learning using fundus and optical coherence tomography imaging may identify mental disorders during routine eye exams.

Scientists in Morocco have developed a method that uses the metadata of PV plants’ infrared images to label them geographically. The automatic database can then be used in deep learning models and ...