The Interoperability Blueprint: Architecting Scalable Data Ecosystems For Global Healthcare

A common pitfall in digital healthcare is treating data governance as a secondary compliance task rather than a foundational ...
IEEE

Parallel Fusion CNN Enabled Data-Driven Nonlinear Model on Time-Frequency Characterization for Power Quality Analysis

Abstract: Modeling of nonlinear loads is crucial for analyzing and evaluating power quality in modern power system. To further enhance both accuracy and robustness, a novel data-driven nonlinear load ...

Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

VAST Data Unveils a Platform for Secure, Trusted, and Self-Learning Agentic AI Systems

SALT LAKE CITY, UT, Feb. 25, 2026 (GLOBE NEWSWIRE) -- Today at VAST Forward 2026, VAST Data, the AI Operating System company, announced the VAST Data PolicyEngine and VAST Data TuningEngine, two new ...

VAST Data Introduces End-to-End Fully Accelerated AI Data Stack with NVIDIA

With new GPU-accelerated VAST CNode-X servers as the foundation, VAST is bringing together broad support for NVIDIA-accelerated capabilities inside the VAST AI OS and deploys them within a full-stack ...
IEEE

OL_LaEC: An Online Learning Data Scheduler for Multi-site Parallel Downloading

Abstract: The Multi-site Parallel Downloading (MPD) system employs multipath transport technology to offload traffic from expensive Content Delivery Networks (CDNs) to more cost-effective edge nodes, ...