As India develops its AI goals and digital economy, connected data will be the foundation for smarter decisions and ...

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships ...

Abstract: Nowadays, we have diverse sensor technologies and image processing algorithms that allow one to measure different aspects of objects on the Earth [e.g., spectral characteristics in ...

The sales team has more data than ever before. The problem is not data collection. The actual challenge is linking diverse data and transforming it into ...

Abstract: With the extensive use of multi-view data in practice, multi-view spectral clustering has received a lot of attention. In this work, we focus on the following two challenges, namely, how to ...

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and ...

Palantir Technologies draws chart attention as price action consolidates near a watched level, keeping the software name in ...

Find out what it would take for developers to build a large data center inside city limits ...

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

Adelaide University researchers have developed an innovative wearable glove that uses heat, touch and physical objects to ...

University of Adelaide researchers have developed a wearable glove that uses heat, touch and physical objects to transform data into a sensory experience. The prototype, called ThermoPhy, was ...

Wiki-CS is a Wikipedia-based dataset for benchmarking Graph Neural Networks. This repository contains the dataset files, the data pipeline used to create it as well as experiments performed to ...