
Explore AC3: an innovative EU project for AI-driven cloud-edge infrastructure, focusing on sustainability, efficiency, and zero-touch management for developers.

Explore secure device provisioning for Edge systems using FIDO Device Onboard and Ignition in Fedora IoT. Learn about latest capabilities, use cases, and upcoming features.

Explore AI's evolution from broad principles to edge applications, examining its impact across industries and future trends while addressing ethical implications and technological challenges.

Explore cloud-native hardware-in-the-loop testing for edge devices using Jumpstarter, streamlining CI/CD pipelines and development workflows for software stacks on specific hardware.

Discover how to leverage Ubuntu Core and Snaps for secure, efficient robotics development and deployment, unlocking reliable update infrastructure for your devices.

Discover how edge computing transforms automotive data processing, addressing challenges in decentralized environments like factories and vehicles.

Discover secure data handling in automotive edge computing, addressing industry challenges and exploring MicroCloud's advantages.

Explore Qualcomm's Cloud AI 100 accelerator for high-performance cloud-edge inferencing, featuring leadership-class performance, power efficiency, and comprehensive software tools for production deployment.

探索KubeEdge如何构建安全可信、适应边缘网络的隧道。了解其验证、加密和认证机制,以及如何通过QoS和QUIC协议提高弱网络环境下的性能。

KubeEdge构建安全可信、适应边缘网络的隧道,实现数据传输加密、认证和QoS保障,提高弱网络性能,探讨网络编码通信协议在不可靠网络中的优势。

Explore WebAssembly's advantages for AI inference in cloud-native ecosystems, enabling uniform performance across diverse hardware and seamless integration into frameworks for enhanced deployment and scalability.

Innovative system enabling high-density mobile cloud gaming on SoC Clusters through efficient resource partitioning and cross-SoC offloading, increasing game density by 4.5x while maintaining performance.

Innovative video surveillance system reducing data sent to cloud by 22% while maintaining 92% detection accuracy. Utilizes tile sampling for efficient traffic monitoring on low-cost edge devices.

Explore ByteDance's PCDN+ system, enhancing video content delivery with cost-efficient edge resources. Learn about its centralized/decentralized framework, improved resource utilization, and higher service speeds.

Innovative edge server design using mobile SoCs for improved energy efficiency in cloud gaming, video transcoding, and deep learning inference, with insights on performance and cost-effectiveness.

Innovative strategy for optimizing video feed streaming using knowledge graphs to predict content popularity and improve resource allocation, resulting in reduced bandwidth costs and faster download speeds.

Explore cutting-edge multi-task learning techniques for tinyML, focusing on hard contextual parameter sharing to enhance AI collaboration and efficiency in resource-constrained environments.

Insights on scaling TinyML deployments, emphasizing continuous model monitoring, data preparation, and automated ML development for reliable IoT applications in diverse environments.

Learn to create efficient edge redirects using Akamai EdgeWorkers and EdgeKV. Explore SKU vs SLUG, set up EdgeKV, implement business logic, and see a live demo for optimized content delivery.

Learn to develop robust video analytics solutions using NVIDIA DeepStream SDK. Explore features, integration options, deployment strategies, and real-world applications for efficient data processing and business insights.

Explore the future of telecommunications as AT&T's expert discusses integrating AI and open source technologies to revolutionize 5G networks and shape our connected world.