Urban self reliance, disaster relief
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This document describes a product design project for AUT University that explores urban self-reliance and disaster relief in the context of the 2011 Christchurch earthquake. The project began by developing an off-grid emergency communication device to help stranded individuals and communities in the aftermath of the quake when basic services failed. Design research within the context of the earthquake provided insights into domestic difficulties during the disaster and formed a design brief for a practical product to promote urban self-reliance.
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This document discusses a design project called "Feeding Milan, energies for change" which aims to redesign the agricultural system in South Milan to be more sustainable and innovative. The project seeks to strengthen connections between rural and urban areas by supporting local agriculture and creating a more efficient food chain. The role of design is to take an activist approach through co-creation, capacity building, observation, new media, scenario generation, convergence, and design thinking to help make these changes happen.
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COLTIVANDO: The convivial garden at Politecnico di Milano
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Dandelion Hashtable: beyond billion requests per second on a commodity server
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
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Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
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Urban self reliance, disaster relief
- 1. AUT University. Product Design. Auckland. Click on the icon below to insert a key image showing the project as a whole... Urban self- reliance, Disaster Relief Choose the most characteristic, recognisable image to make the cover of the presentation... Christchurch Quake: Exploring Self Reliance. Insert also the logos/names of the main institutions involved in the project...
- 2. CONTEXT: Post quake, this project explores the loss of self reliant behavior when living in a society so deeply rooted in convenience and comfort.
- 3. PROJECT: The desperate need for connected and mobile communities became apparent with the collapse of telecommunications and power. The project began exploring a off- grid emergency communication device to empower stranded individuals and communities.
- 4. DESIGN RESEARCH within the context of the CHCH quake provided insight into the struggles of domestic life in a highly disabling context. The insights gathered formed a practical design brief that would capture some of my learning around urban self reliance.