Abstract: Edge Computing (EC) has emerged as a pivotal paradigm, offering solutions to address the challenges posed by latency-sensitive applications and to enhance overall network performance. In EC ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...

Learn how Edge AI enhances IoT applications. This webinar reveals the benefits of Edge AI in real-time processing and ...

Our first deployments began with, contrary to model tuning, a store audit: camera inventory, network strength and in-store ...

Edge platforms, which provide a liaison between networks and legacy equipment, can provide a layer of cybersecurity ...

Abstract: Federated learning (FL), an advanced variant of distributed machine learning, enables clients to collaboratively train a model without sharing raw data, thereby enhancing privacy, security, ...

The AI Software Development Kit, or AI SDK for short, is a set of Python libraries. These libraries provide building blocks for automating the creation, packaging, and testing of inference pipelines ...

Latency issues with cloud: AI often demands near-zero latency to deliver actions. "Applications requiring response times of 10 milliseconds or below cannot tolerate the inherent delays of cloud-based ...

Discover the future of satellite technology with space computing power networks (Space-CPN). This innovative architecture ...

The partnership combines the Armada Edge Platform/AEP, which includes Galleon modular data centers, with Veritone’s aiWARE AI operating system. This unified offering supports the entire lifecycle of ...

The International Telecommunication Union (ITU) has identified future 6G use cases such as “integrated artificial ...