Trends and Challenges in Multi-cloud Networking and Observability
Explore challenges and solutions in multi-cloud networking, focusing on application-aware connectivity, AI-based analytics, and intelligent automation across distributed cloud environments.
The European Computing Continuum - Initiatives, Community, and Directions
Explore the evolving landscape of European computing initiatives, examining key developments in cloud, edge, and IoT technologies while understanding future directions and community impact.
NEMO - Building the Next Generation Meta Operating System for AIoT Edge-Cloud Computing
Discover how NEMO's meta-operating system revolutionizes AIoT-edge-cloud computing through open-source architecture, bringing AI capabilities closer to data sources while ensuring cyber security and modularity.
Eclipse Kura and Eclipse Kapua for Streamlined EdgeOps Deployment
Discover how Eclipse Kura and Kapua simplify EdgeOps deployment, streamline container management, and enable versatile edge applications - from AI processing to Web3 technologies, making deployment hassle-free.
AI on the Edge with Eclipse Kura - From Data Collection to Model Deployment
Discover how to build and deploy machine learning applications on edge devices using Eclipse Kura, from data collection through Kura Wires to model training and inference with Nvidia Triton Server.
Deployment Options for OSGi Applications in Cloud and Edge Computing
Explore various deployment strategies for OSGi applications, comparing bundling methods, launching mechanisms, and JVM options for optimal cloud and edge performance.
Eclipse Kura Wires - Open No-Code Edge IoT Development for Business Value
Explore Eclipse Kura Wires' no-code IoT development framework for creating edge solutions, from sensor data collection to cloud integration, featuring reusable components and real-world applications.
Java Developer's Survival Guide for Cloud-Native Application Development
Discover essential tools, frameworks, and architectural patterns for building and deploying cloud-native Java applications across data centers, cloud, and edge computing environments.
Why WebAssembly Is Important - Use Cases - Introduction to WebAssembly
Explore WebAssembly's importance, performance benefits, and potential to revolutionize web development, containerization, e-commerce, banking, and edge computing.
Jetson AI Labs - IoT and Cloud-Powered App Development with Paul DeCarlo
Explore IoT and AI with NVIDIA Jetson, featuring Microsoft's Paul DeCarlo. Learn about cloud-powered app development, video analytics, and integrating Jetson with Azure for intelligent edge computing solutions.
Jetson Xavier NX Developer Kit - Edge AI Supercomputer Features and Applications
Explore Jetson Xavier NX Developer Kit's edge AI capabilities, software features, and deployment strategies for advanced applications in video analytics, perception, and natural language processing.
Develop and Deploy Deep Learning Services at the Edge with IBM and NVIDIA Jetson
Explore deploying deep learning services at the edge using NVIDIA Jetson and IBM technologies, covering setup, development, and practical applications in machine learning and AI.
Securing the Edge - Challenges and Strategies in Edge Computing
Explore edge computing security challenges across industries, examining architectures, use cases, and perceived risks based on the 2022 AT&T Cybersecurity Insights Report.
TinyML Talks - Demoing the World’s Fastest Inference Engine for Arm Cortex-M
Explore the world's fastest inference engine for Arm Cortex-M microcontrollers, featuring live demonstrations, benchmarks, and insights into achieving superior speed and memory efficiency.
Autonomous Nano-UAVs: An Extreme Edge Computing Case
Exploring autonomous nano-UAVs as extreme edge computing cases, focusing on onboard intelligence, machine learning techniques, and full-stack solutions for navigation and human-robot interaction in resource-constrained environments.
TinyML Talks Local ANZ Meetup - Race Predict by DXC - Harnessing Compute at the Edge to Identity
Explore edge computing for real-time sports event detection using live video feeds and Corel devices, with insights on scalable cloud architecture for diverse sporting applications.
Using AI to Design Energy-Efficient AI Accelerators for the Edge
Explore AI-driven co-design of neural networks and hardware accelerators for edge devices, optimizing accuracy and efficiency through simultaneous architecture and hardware space exploration.
System Software for Machine Learning at the Edge - tinyML Asia 2020
Explore system software approaches for optimizing ML on edge devices, focusing on compiler and runtime techniques to maximize hardware potential for mobile and IoT applications.
Toward Data-Driven Applications with AIoT Devices
Explore data-driven AIoT applications, model reduction techniques, and meta-learning approaches for enhanced inference accuracy in diverse environments, with real-life examples and future research directions.
AI-ML Solutions for Low-Power Edge Platforms - Challenges and Opportunities
Explore challenges and opportunities in AI/ML solutions for low-power Edge platforms, covering device types, compute options, and on-device acceleration libraries for efficient application development.
The Akida Neural Processor - Low Power CNN Inference and Learning
Explore Akida Neural Processor's low-power CNN inference and edge learning capabilities, featuring event-based computing and on-chip learning for visual and auditory applications.