Neoliberalism
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This document discusses neoliberalism and its effects. It defines neoliberalism as both an ideological set of ideas about the relationship between economy and government as well as a political movement that implemented reforms based on those ideas. Key neoliberal ideas include letting the economy prosper without interference, individual responsibility for poverty, and applying economic rationales like competition to social programs. The document then gives examples of how neoliberalism manifests through policies like structural adjustment programs, the shift to service industries, increasing economic polarization, and the expansion of the security and non-profit sectors in cities.
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Us esperem a la conferència d’aquest dijous a la Federació Catalana d’ONGs, a les 19h, amb Costas Lapavitsas, economista grec i professor a SOAS de la Universitat de Londres.
Northern Ireland and the Double Transition
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Per què no hem de pagar el Deute? PACD Tarragona
Xerrada a la URV a Tarragona el 19 de febrer de 2013
Organitzada pel Procés Constituent de Tarragona
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Neoliberalism
Neoliberalism is an ideological, political, and historical phenomenon characterized by free market policies and the dominance of economic rationales. It advocates for limited government intervention and individual responsibility. At the city level, neoliberalism is seen through the privatization of public space, intensified policing, growth in consumerism and non-profits, and widening racial economic disparities.
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Neoliberalism is a political ideology that blends liberal values with an emphasis on economic growth and free markets. It believes the economy will prosper if left alone without government intervention and that individuals are responsible for their own poverty. Neoliberal policies include structural adjustment programs, free trade, privatization, deregulation, and reducing government spending on social programs. The result is increasing economic polarization, a growing surplus population, more dominance of private corporations and consumerism in public spaces, and intensified racial inequality.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem."Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
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.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
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“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.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Recently uploaded (20)
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Neoliberalism
- 2. Neoliberalism • Ideological - a set of ideas about the “best” relationship between the economy and government. • Political - social and economic reforms that put the ideas of neoliberalism into practice. • Historical - an era characterized by the dominance of neoliberal political projects (roll-back and roll-out).
- 3. Neoliberal Ideas • The economy will prosper if left alone, and a prosperous economy is good for the people. • Individuals bear responsibility for their poverty, and governments should not foster “dependence” on social programs. • Economic rationales should be applied to social programs: competition, cost-benefits analysis, measurable outcomes.
- 9. What Does Neoliberalism Look Like? • Free market policies • In “developing” world (aka former colonies of US and European empires): structural adjustment programs that cut social spending • In US: shift of industrial production out of US, and growth of domestic service and knowledge industries; workfare • Increasing economic polarization • Growth of surplus populations • Expansion of “security” industries - police, prisons, military occupation • Expanding power of supranational governance bodies
- 10. What Does Neoliberalism Look Like in the City? • Selling off of public space to private corporations • Dominance of consumerism • “Quality of life” crackdowns • More cops, and more militarized policing • Growth of private security forces in quasi- public spaces • Growth of non-profit sector • Intensification of racialized economic exploitation and racial wealth gap