A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

AI has provided a bedrock of change and innovation across industries, but what kind of data should be used to fuel their intelligent systems? One option to train and tune AI models is the vast, ...

Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...

As the CEO of a company that offers AI solutions, I've found that most of the public conversation surrounding AI still ...

Researchers at the University of Illinois Urbana-Champaign and the University of Virginia have developed a new model architecture that could lead to more robust AI systems with more powerful reasoning ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...

Elk Marketing reports that structured data enhances AI understanding, enabling accurate entity recognition and improved ...

Effectively scaling semiconductor manufacturing is critical to meeting the rapidly growing demand and requires solving numerous technical challenges. The substantial capital investment required for ...

Data is often called the lifeblood of modern healthcare. As the industry evolves, its ability to harness and act on data effectively will distinguish the innovators from the status quo. Today, ...