Deep Dive - Unpacking the TinyML Cookbook
Explore practical TinyML applications and techniques with expert Gian Marco Iodice, gaining insights into efficient machine learning on resource-constrained devices.
AI on the Edge - Challenges, Benefits, and Implementation Strategies
Explore AI at the edge: challenges, security, scaling, benefits, use cases, and open source solutions. Learn to build effective edge AI architectures for IoT applications.
Introducing K2D: Kubernetes to Docker Translator for Industrial IoT
Explore K2D: Kubernetes-to-Docker translator for resource-constrained IoT devices. Learn its creation, advantages, and real-world applications through live demonstrations.
Write Once Run Anywhere for GPUs - Portable AI Workloads with Rust and WebAssembly
探讨LlamaEdge如何利用Rust和WebAssembly实现跨平台LLM应用开发,从基础推理到复杂RAG系统,展示其在云端和边缘设备上的灵活部署能力。
Security Threat Model Analysis and Protection Practice in Edge Computing
Análisis de modelos de amenazas y prácticas de protección en computación de borde, incluyendo auditoría de seguridad de KubeEdge, iniciativas de mejora y cumplimiento SLSA L3 para fortalecer la seguridad en escenarios de edge computing.
OpenYurt and Dragonfly - Enhancing Efficient Distribution of LLMs in Cloud-Edge Collaborative Scenarios
Explore efficient LLM distribution in cloud-edge environments using OpenYurt and Dragonfly. Learn how to reduce network traffic by 90% and achieve rapid sharing in isolated settings.
KubeEdge DeepDive - Extending Kubernetes to the Edge with Real-World Industry Use Cases
Explore KubeEdge's architecture and real-world applications in edge computing, including smart cities, industrial IoT, and edge AI. Learn about its integration with Kubernetes and advancements in technology and community governance.
Uniting Sustainability and Edge Computing: Kepler and Open Horizon on RISC-V and Heterogeneous Systems
Explore integrating Kepler and Open Horizon for energy-efficient cloud-edge computing across diverse hardware, including RISC-V. Demonstration of use case optimizing distributed systems for sustainability.
Leveraging Wasm for Portable AI Inference Across GPUs, CPUs, OS and Cloud-Native Environments
Explore WebAssembly's advantages for AI inference in cloud-native ecosystems, enabling uniform performance across hardware, operating systems, and cloud environments while enhancing deployment and scalability.
Extend Kubernetes to Edge Using Event-Based Transport
使用基于事件的传输技术扩展Kubernetes至边缘,实现可扩展的中央控制平面,轻松管理数百万边缘集群,克服网络不稳定性挑战,适用于 电信、零售等行业
Wasm across Any Cloud, Any Kubernetes, or Any Edge with CNCF wasmCloud
Explore WebAssembly's potential in cloud-native environments with wasmCloud, enabling portable, secure, and efficient applications across diverse infrastructures.
Efficient and Cross-Platform LLM Inference in the Heterogeneous Cloud
Explore cross-platform LLM inference using cloud-native WebAssembly for portable AI applications. Learn to build and deploy efficient LLM apps across diverse hardware without recompilation.
Efficient and Portable AI/LLM Inference on the Edge Cloud - Workshop
Explore efficient AI/LLM inference on edge cloud using WebAssembly. Learn to create lightweight, portable applications for media processing, vision, and language models, running at native speed across CPUs and GPUs.
MCUNet: Tiny Neural Network Design for Microcontrollers - Lecture 11
Explore algorithm and system co-design for tiny neural network inference on microcontrollers, focusing on TinyML, TinyNAS, and TinyEngine for efficient deep learning applications.
MCUNet: Tiny Neural Network Design for Microcontrollers - Lecture 11
Explore algorithm and system co-design for tiny neural network inference on microcontrollers, focusing on TinyML, TinyNAS, and TinyEngine for efficient deep learning applications.
Bootiful Edge Services
Explore cutting-edge microservices architecture and cloud-native development with Spring Boot in this insightful keynote presentation by Josh Long.
Ireland's Ubotica - Pioneering Edge-Based Earth Observation Imagery Delivery
Transforming Earth Observation: Ubotica's edge-based model delivers imagery updates to user handsets in minutes, revolutionizing the field with faster, more efficient data consumption.
Python in Cloudflare Workers - Running Pyodide on the Edge
Explore serverless Python deployment on Cloudflare Workers, featuring demos of scalable apps with database, storage, and AI integrations. Dive into technical challenges of running Pyodide in a serverless environment.
The Future of Large Language Models is Federated - Seminar 120
Explore cutting-edge developments in federated learning and its transformative role in the future of Large Language Models through insights from Cambridge researcher Nic Lane.
ML and the IoT - Living on the Edge
Explore Edge ML in IoT: faster insights, enhanced security, and predictive action. Learn practical ways to leverage ML on embedded systems and microcontrollers for IoT applications.
EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1
Explore efficient machine learning techniques and their applications in this comprehensive introduction to EfficientML.ai from MIT's Prof. Song Han.