XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

The Deployed Data Scientist: MLOps and Analytics in Practice, co-authored by Ankit Anand, Dr. Scott Burk, and Kinshuk Dutta, is helping data professionals address one of the industry’s most pressing ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Artificial intelligence isn't capable of doing everything a human being can do, which is why so many blue collar jobs are ...

As artificial intelligence becomes more embedded in clinical development, the focus is shifting from capability to trust. At ...

AI kaizens consider AI first as a possible solution to any problem. Scaling, not finding use cases, is now the challenge with ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has made an important breakthrough centered on the NISQ (Noisy Intermediate-Scale Quantum) ...

The Moon’s cratered surface may seem like the perfect place to hand repetitive work to machines. There are millions of impact ...

As a heat dome drives dangerous temperatures across much of the United States and renews concerns about extreme heat, USC ...

In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones ...

Researchers from Heinrich Heine University Düsseldorf (HHU) have taken an important step toward developing intelligent ...

Governments use algorithms to select, advise or profile citizens, and to assess risks. But how do you know whether such an ...