By integrating the strengths of edge and cloud computing, modern data processing is undergoing a transformative shift. Pruthvi Tatikonda, in distributed computing, explores this evolution in his ...

Artificial intelligence has long been tethered to high-performance data centers and cloud computing, reliant on the massive infrastructure needed to train and run deep learning models. But as AI ...

In the best-case scenario, edge computing enables fast processing and low latency. We present six devices that will work for anyone exploring or already active in blockchain and edge computing from ...

Deploying GenAI on edge devices offers several compelling advantages, particularly in applications where real-time processing ...

In an era where cloud computing dominates business operations, enterprises are seeking innovative solutions to enhance network performance and security. Jaskira ...

Distillation makes AI efficient, scalable, and deployable across resource-constrained devices. The rapid advancements in AI ...

In a major leap for edge AI processing, NTT Corporation has announced a groundbreaking AI inference chip that can process ...

By integrating Litmus Edge with Microsoft Azure IoT Operations, industrial companies can now more easily connect ... devices at the edge. With Azure IoT Operations, customers add the adaptive ...

SAN FRANCISCO, March 31, 2025 /PRNewswire/ -- PEAK3 Spectrum and ASUS IoT announced today a strategic partnership that will ...