Five core crypto forecasting methods compared: technical analysis, on-chain metrics, sentiment scoring, fundamental analysis, ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Abstract: By using a Deep Learning-Based Support Vector Machine (SVM) model, this work presents a novel method for the sorting and visualisation of raisins. A vital component of the agricultural ...

Abstract: Accurate power transformer fault diagnosis is crucial for power system reliability, but traditional gas ratio rule- and expert experience-based methods suffer from strong subjectivity and ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The company is combining human-reviewed AI tools with interactive, gamified learning to improve safety training, incident ...

Creating data products is a good way to accelerate delivery, reuse data assets, reduce risks, and manage costs. Standardized ...

Advances in virtual and augmented reality, spatial computing, and other technologies offer chances to work with data more ...

Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...

A false-color comparison of two multi-layer OpenEXR images of a beach ball. Image courtesy of openexr-images. Images can be opened via a file dialog or by dragging them into tev. They can be reloaded, ...

Microsoft Research conducts fundamental science and technology research across a spectrum of research areas. With labs around the globe we pursue breakthroughs across the computing and AI stack to ...