Machine learning (ML) is a hot topic when it comes to almost anything related to computing, from analyzing data in the cloud, to self-driving cars recognizing people and things, to detecting defective ...

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...

Machine-learning (ML) technology is radically changing how robots work and dramatically extending their capabilities. The latest crop of ML technologies is still in its infancy, but it looks like ...

We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of functions defined on ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the $37.5B that will be spent in 2019. Senior management teams at enterprises who are Gartner clients ...

AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning. Gartner predicts the ...