The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

A new analysis of seismic “families” reveals that some large earthquakes may be preceded by hidden patterns in clustering, ...

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

We develop a clustering-based algorithm to detect loan applicants who submit multiple applications (“cross-applicants”) in a loan-level dataset without personal identifiers. A key innovation of our ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. As machine learning continues to reshape the financial services industry, most headlines are ...

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

The AI era is upon us. With generative AI continuing to push forward, companies like Intel, AMD, and Qualcomm are also talking about the hardware side of the equation. With the introduction of the NPU ...