AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Demonstrating academic excellence and a strong interest in AI-related domains, seven students of Computer Science Engineering ...

Abstract: A dynamic multi-scale spatiotemporal graph recurrent neural network (DMST-GRNN) model has been introduced, which is leveraged to use human motion prediction on a 3D skeleton-based human ...

The exponential growth in data traffic, driven by 5G/6G rollout, cloud computing, real-time applications, and massive IoT ...

Abstract: This paper investigates dynamic task allocation (DTA) for unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) in complex urban environments using an adaptive depth graph ...

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...

Artificial intelligence cloud operator CoreWeave Inc. today launched ARIA, an AI research agent built into the Weights & ...

Chief Executive Mark Zuckerberg told employees at an internal town hall meeting that the company’s work on artificial ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

Discover how Vimal Teja Manne is advancing the future of digital payments through strategic leadership, payment innovation, ...

Heterogeneous Graph Transformer is a graph neural network architecture that can deal with large-scale heterogeneous and dynamic graphs. You can see our WWW 2020 paper “Heterogeneous Graph Transformer” ...