ML-powered retail media solutions optimize product visibility, enhance shopping experiences and create wins for sellers, ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan ...

🎯We built a beginner-friendly federated learning (FL) library and benchmark: master FL in 2 hours—run it on your PC! Contribute your algorithms, datasets, and metrics to grow the FL community.. 👏 ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Abstract: The resurgence of unsupervised learning can be attributed to the remarkable progress of self-supervised learning, which includes generative $(\mathcal{G})$ and discriminative $(\mathcal{D})$ ...

More interestingly, the predictive model of the biosensor dynamics showed, on average, almost no degradation in performance for the cross-validation (see Methods Section), suggesting that the machine ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...