Internet of Things, You have been Assimilated Upstarts.tv
The Internet of Things (IOT) is not just the utility of devices and sensors to networks. IOT signifies the next pivot in evolution of the relationship of Man to Nature, Man to Man and Man to Machine.
-Kevin Leversee
Two Useful Theories for Environmental StudiesMichael Lehman
This document discusses two theories that can be useful for environmental studies: transnationalism and actor-network theory. Transnationalism examines interactions that transcend national boundaries, such as flows of ideas, capital and people between countries. It recognizes that the nation is an ideological construct and the environment does not stop at political borders. Actor-network theory views society as networks of human and non-human actors, treating things like animals, technology, pollution as important actants. It argues that power comes from connections within networks rather than inherent qualities. Both theories emphasize the importance of understanding connections between people and things across geographical and political boundaries for studying environmental issues.
The document discusses several key issues related to the digital divide:
- It describes how factors like gender, race, income have led to disparities in access to technology over time, with whites and higher-income groups most likely to have internet access.
- It discusses efforts to close this divide by improving access in schools and deregulating the telecommunications industry to provide more universal access.
- It also examines how marginalized groups have used the internet to carve out alternative online spaces of community and resistance against dominant social forces.
e-Research and the Demise of the Scholarly ArticleDavid De Roure
Innovations 2013 - e-Science, we-Science and the latest evolutions in e-publishing. STM International Association of Scientific, Technical & Medical Publishers. 4th December 2013, Congress Centre, Great Russell Street, London, UK.
SOCIAM: The Theory and Practice of Social MachinesSOCIAM Project
The SOCIAM project aims to understand and develop social machines over 5 years with £6.15M in funding. Social machines harness human and computational resources to solve problems at scale. The project will explore how to design social computations and curate data to support them, while ensuring privacy, accountability and trust. It will build social machines for health, transport and policing using open data. An observatory will monitor social machines to understand their evolution and impacts. The goal is to understand how to coordinate large numbers of people through social machines to address important problems.
"Social Innovation Hacktivism: from here to assemblages"
My slides from the First International Workshop on Social Innovation and Social Media (SISoM 2011), July, 21 2011, Barcelona, Spain
http://www.sites.google.com/site/sisom2011/
Internet of Things, You have been Assimilated Upstarts.tv
The Internet of Things (IOT) is not just the utility of devices and sensors to networks. IOT signifies the next pivot in evolution of the relationship of Man to Nature, Man to Man and Man to Machine.
-Kevin Leversee
Two Useful Theories for Environmental StudiesMichael Lehman
This document discusses two theories that can be useful for environmental studies: transnationalism and actor-network theory. Transnationalism examines interactions that transcend national boundaries, such as flows of ideas, capital and people between countries. It recognizes that the nation is an ideological construct and the environment does not stop at political borders. Actor-network theory views society as networks of human and non-human actors, treating things like animals, technology, pollution as important actants. It argues that power comes from connections within networks rather than inherent qualities. Both theories emphasize the importance of understanding connections between people and things across geographical and political boundaries for studying environmental issues.
The document discusses several key issues related to the digital divide:
- It describes how factors like gender, race, income have led to disparities in access to technology over time, with whites and higher-income groups most likely to have internet access.
- It discusses efforts to close this divide by improving access in schools and deregulating the telecommunications industry to provide more universal access.
- It also examines how marginalized groups have used the internet to carve out alternative online spaces of community and resistance against dominant social forces.
e-Research and the Demise of the Scholarly ArticleDavid De Roure
Innovations 2013 - e-Science, we-Science and the latest evolutions in e-publishing. STM International Association of Scientific, Technical & Medical Publishers. 4th December 2013, Congress Centre, Great Russell Street, London, UK.
SOCIAM: The Theory and Practice of Social MachinesSOCIAM Project
The SOCIAM project aims to understand and develop social machines over 5 years with £6.15M in funding. Social machines harness human and computational resources to solve problems at scale. The project will explore how to design social computations and curate data to support them, while ensuring privacy, accountability and trust. It will build social machines for health, transport and policing using open data. An observatory will monitor social machines to understand their evolution and impacts. The goal is to understand how to coordinate large numbers of people through social machines to address important problems.
"Social Innovation Hacktivism: from here to assemblages"
My slides from the First International Workshop on Social Innovation and Social Media (SISoM 2011), July, 21 2011, Barcelona, Spain
http://www.sites.google.com/site/sisom2011/
This document provides an overview and guidance for a media studies assessment. Section A involves writing about production experiences and creative decision making over two years, applying theoretical contexts. For question 1b, students must analyze one of their productions using a concept from the specification list, such as genre, narrative or representation. Section B involves analyzing media texts and theories. It discusses concepts like democracy, participation, and debates around the impact of new media. Students are encouraged to use examples from their own work and additional research to understand contested views in media theory.
Some believe that we are transitioning from the Information Age to the Hybrid Age in a technological revolution distinguished by ubiquitous computing, intelligent machines, social technologies, integrated scientific fields, and rapidly-adaptive development strategies. It is into this new age that we introduce a new kind of atlas—one that is itself ubiquitous, intelligent, social, and integrative. Web services provide easy access to the atlas content through ubiquitous computing on a wide range of devices—smart phones, tablets, laptops, and more—trillions of other devices that are connected via the Internet. The user interface seamlessly integrates the maps and supporting content. The user experience supports intelligent exploration through contextual understanding, intuitive findability, and desirable comparison. Social media links provide useful opportunities to communicate and collaborate with others.
Women&Technologies: Research and Innovation. Nell'ambito del prestigioso WCC, (World Computer Congress), una conferenza nella conferenza dedicata alle donne e alle tecnologie, con un particolare focus su ricerca e innovazione. Presentazione per l'intervento a distanza di Nik Nailah Binti Abdullah (Information Systems Architecture Research Division, National Institute of Informatics, Tokyo, Japan), intitolato "Art and Affective Computing: Holistic approach"
Social Machines: Theoretical perspectives, Paul SmartUlrik Lyngs
This document outlines the structure and content of a book on theoretical perspectives of social machines. It discusses various views of social machines, including the mechanistic view which focuses on socio-technical mechanisms. It also examines how different views like the content creation view and extended systems view can co-exist under a relaxed pluralism. The conclusion advocates seeing social machines as systems realized by socio-technical mechanisms and as socially situated machines. The document lists several publications by the author on related topics of social machines and machine intelligence.
This document discusses the film The Matrix and how it served as a model for cyberpunk narrative. It explores the concepts of transmedia storytelling and viral marketing through games like Majestic and I Love Bees. The document also analyzes how Matrix blended elements of cyberculture and discusses Kevin Kelly's view that as technology becomes more complex, it will evolve in more biological and organic ways. However, the document also notes more dystopian perspectives that see simulations as lies, fear revolts by machines, and see biotechnologies as tools for greater control.
Technology plays a large role in modern daily life according to the document. It discusses how technology has led to increased globalization and connectivity through social networks and communication technologies. However, the document also notes that overreliance on technology risks distracting from real-world interactions and experiences. It quotes Einstein as saying "our technology has exceeded our humanity." The document examines both the benefits of technology in connecting people worldwide, as well as some of the potential downsides of becoming too engrossed in the virtual world.
The document discusses key aspects of teaching in a knowledge society, including:
1. It describes how a knowledge society differs from an information society and emphasizes the importance of universal access to knowledge.
2. It outlines new competencies needed for teachers, such as the ability to teach with technology, develop collective intelligence, and address ethical issues related to areas like digital divides.
3. It discusses scenarios for the future of education put forth by the OECD, including the potential for more networked, learner-focused models of schooling.
1) Social machines are hybrid systems of people and technology that allow for democratization and disintermediation by empowering citizens at scale.
2) They are studied as ecosystems of living, hybrid organisms where the successes and failures of instances inform the design of successors.
3) Stories and narrative play an important role in social machines by facilitating sociality, sustainability, and emergence through collaborative authorship and mixed authority.
The document discusses curriculum issues related to science and technology education in the context of the Fourth Industrial Revolution. It is presented in six parts. The first part provides historical context on industrial revolutions, noting how quickly technological changes are occurring. The second part briefly outlines the Second and Third Industrial Revolutions. The third part discusses emerging technologies and the new digital literacies needed in curriculums. The fourth part examines implications of the Fourth Industrial Revolution for curriculum designers, including disruptive technologies. The fifth and sixth parts raise questions about who curriculums should serve and whether they can keep up with rapid changes.
The is a brief presentation on the central tenets of Bikjer and Pinch's theory on significant factors at play in forming, developing, adopting, and establishing sociotechnical objects.
SOCIAM Book: The Theory and Practice of Social MachinesUlrik Lyngs
This document outlines the proposed chapters and content for a book on social machines. The book will define and classify different types of social machines, analyze how they work by studying platforms like Zooniverse, discuss how to implement social machines by addressing design decisions and challenges, and examine the ethics, accountability, and privacy issues they raise. The goal is to develop tools and techniques for building social machines and understanding when and how they can create value. The proposed breakdown includes 5 chapters covering these topics, with an intended publisher of Springer's Lecture Notes in Social Networks series.
This document discusses whether the internet is negatively impacting our intelligence. It notes that online reading habits tend to promote efficiency over depth, with people skimming segments rather than reading linearly. While this may be changing how we think, it is unclear if this truly makes us less intelligent. The document also questions whether we are actually making Google less intelligent by over-relying on it for information.
These are the slides which I used is a 3 day workshop which I gave to university students in Brazil. Any feedback, and additional material that I could use (text, pictures, cartoons or videos), very gratefully received.
The document discusses awareness in autonomous systems. It covers general properties of self-awareness like perception and collectivity. It also discusses the short-term impacts of self-awareness like safety and sustainability and long-term open issues. Key aspects of self-awareness are levels ranging from ecological to conceptual awareness. Distributed emergence of self-awareness is possible through collective systems though parts exhibit less awareness. Internal models are important for self-aware systems to represent themselves and environments to test possibilities.
While artificial intelligence (AI) is often referred to in popular culture, in reality AI encompasses a broad range of technologies and applications. Some common examples of AI that are already widely used include search algorithms, personalized recommendations, and computer vision technologies. However, these applications do not necessarily constitute strong or general human-level AI. There is no consensus on how to define AI, and its potential capabilities and limitations are actively debated. Overall, AI is an evolving field with many existing real-world uses today, even if more advanced visions of superintelligence remain hypothetical.
The document discusses systems thinking and general systems theory. It provides an overview of systems thinking as an alternative way to view reality that focuses on analyzing processes and interactions between active objects influencing each other, rather than isolated static objects. General systems theory addresses issues like entropy and how open systems can cope with their environment through feedback, reactions, and adaptations to maintain order against the natural tendency towards disorder. The document outlines key concepts from systems thinking and general systems theory to understand how complex organizations work.
The document defines artificial intelligence as a branch of computer science dealing with creating intelligent machines that can solve complex problems. It discusses key events in the development of AI such as the 1956 Dartmouth Conference and Deep Blue beating the world chess champion in 1997. The document outlines several applications of AI like expert systems, speech recognition, computer vision, robotics, and game playing. It also discusses the goals, pros and cons of AI, and considers its future impact both positive in areas like automation, and potential negative consequences if not developed responsibly.
This document provides an overview and guidance for a media studies assessment. Section A involves writing about production experiences and creative decision making over two years, applying theoretical contexts. For question 1b, students must analyze one of their productions using a concept from the specification list, such as genre, narrative or representation. Section B involves analyzing media texts and theories. It discusses concepts like democracy, participation, and debates around the impact of new media. Students are encouraged to use examples from their own work and additional research to understand contested views in media theory.
Some believe that we are transitioning from the Information Age to the Hybrid Age in a technological revolution distinguished by ubiquitous computing, intelligent machines, social technologies, integrated scientific fields, and rapidly-adaptive development strategies. It is into this new age that we introduce a new kind of atlas—one that is itself ubiquitous, intelligent, social, and integrative. Web services provide easy access to the atlas content through ubiquitous computing on a wide range of devices—smart phones, tablets, laptops, and more—trillions of other devices that are connected via the Internet. The user interface seamlessly integrates the maps and supporting content. The user experience supports intelligent exploration through contextual understanding, intuitive findability, and desirable comparison. Social media links provide useful opportunities to communicate and collaborate with others.
Women&Technologies: Research and Innovation. Nell'ambito del prestigioso WCC, (World Computer Congress), una conferenza nella conferenza dedicata alle donne e alle tecnologie, con un particolare focus su ricerca e innovazione. Presentazione per l'intervento a distanza di Nik Nailah Binti Abdullah (Information Systems Architecture Research Division, National Institute of Informatics, Tokyo, Japan), intitolato "Art and Affective Computing: Holistic approach"
Social Machines: Theoretical perspectives, Paul SmartUlrik Lyngs
This document outlines the structure and content of a book on theoretical perspectives of social machines. It discusses various views of social machines, including the mechanistic view which focuses on socio-technical mechanisms. It also examines how different views like the content creation view and extended systems view can co-exist under a relaxed pluralism. The conclusion advocates seeing social machines as systems realized by socio-technical mechanisms and as socially situated machines. The document lists several publications by the author on related topics of social machines and machine intelligence.
This document discusses the film The Matrix and how it served as a model for cyberpunk narrative. It explores the concepts of transmedia storytelling and viral marketing through games like Majestic and I Love Bees. The document also analyzes how Matrix blended elements of cyberculture and discusses Kevin Kelly's view that as technology becomes more complex, it will evolve in more biological and organic ways. However, the document also notes more dystopian perspectives that see simulations as lies, fear revolts by machines, and see biotechnologies as tools for greater control.
Technology plays a large role in modern daily life according to the document. It discusses how technology has led to increased globalization and connectivity through social networks and communication technologies. However, the document also notes that overreliance on technology risks distracting from real-world interactions and experiences. It quotes Einstein as saying "our technology has exceeded our humanity." The document examines both the benefits of technology in connecting people worldwide, as well as some of the potential downsides of becoming too engrossed in the virtual world.
The document discusses key aspects of teaching in a knowledge society, including:
1. It describes how a knowledge society differs from an information society and emphasizes the importance of universal access to knowledge.
2. It outlines new competencies needed for teachers, such as the ability to teach with technology, develop collective intelligence, and address ethical issues related to areas like digital divides.
3. It discusses scenarios for the future of education put forth by the OECD, including the potential for more networked, learner-focused models of schooling.
1) Social machines are hybrid systems of people and technology that allow for democratization and disintermediation by empowering citizens at scale.
2) They are studied as ecosystems of living, hybrid organisms where the successes and failures of instances inform the design of successors.
3) Stories and narrative play an important role in social machines by facilitating sociality, sustainability, and emergence through collaborative authorship and mixed authority.
The document discusses curriculum issues related to science and technology education in the context of the Fourth Industrial Revolution. It is presented in six parts. The first part provides historical context on industrial revolutions, noting how quickly technological changes are occurring. The second part briefly outlines the Second and Third Industrial Revolutions. The third part discusses emerging technologies and the new digital literacies needed in curriculums. The fourth part examines implications of the Fourth Industrial Revolution for curriculum designers, including disruptive technologies. The fifth and sixth parts raise questions about who curriculums should serve and whether they can keep up with rapid changes.
The is a brief presentation on the central tenets of Bikjer and Pinch's theory on significant factors at play in forming, developing, adopting, and establishing sociotechnical objects.
SOCIAM Book: The Theory and Practice of Social MachinesUlrik Lyngs
This document outlines the proposed chapters and content for a book on social machines. The book will define and classify different types of social machines, analyze how they work by studying platforms like Zooniverse, discuss how to implement social machines by addressing design decisions and challenges, and examine the ethics, accountability, and privacy issues they raise. The goal is to develop tools and techniques for building social machines and understanding when and how they can create value. The proposed breakdown includes 5 chapters covering these topics, with an intended publisher of Springer's Lecture Notes in Social Networks series.
This document discusses whether the internet is negatively impacting our intelligence. It notes that online reading habits tend to promote efficiency over depth, with people skimming segments rather than reading linearly. While this may be changing how we think, it is unclear if this truly makes us less intelligent. The document also questions whether we are actually making Google less intelligent by over-relying on it for information.
These are the slides which I used is a 3 day workshop which I gave to university students in Brazil. Any feedback, and additional material that I could use (text, pictures, cartoons or videos), very gratefully received.
The document discusses awareness in autonomous systems. It covers general properties of self-awareness like perception and collectivity. It also discusses the short-term impacts of self-awareness like safety and sustainability and long-term open issues. Key aspects of self-awareness are levels ranging from ecological to conceptual awareness. Distributed emergence of self-awareness is possible through collective systems though parts exhibit less awareness. Internal models are important for self-aware systems to represent themselves and environments to test possibilities.
While artificial intelligence (AI) is often referred to in popular culture, in reality AI encompasses a broad range of technologies and applications. Some common examples of AI that are already widely used include search algorithms, personalized recommendations, and computer vision technologies. However, these applications do not necessarily constitute strong or general human-level AI. There is no consensus on how to define AI, and its potential capabilities and limitations are actively debated. Overall, AI is an evolving field with many existing real-world uses today, even if more advanced visions of superintelligence remain hypothetical.
The document discusses systems thinking and general systems theory. It provides an overview of systems thinking as an alternative way to view reality that focuses on analyzing processes and interactions between active objects influencing each other, rather than isolated static objects. General systems theory addresses issues like entropy and how open systems can cope with their environment through feedback, reactions, and adaptations to maintain order against the natural tendency towards disorder. The document outlines key concepts from systems thinking and general systems theory to understand how complex organizations work.
The document defines artificial intelligence as a branch of computer science dealing with creating intelligent machines that can solve complex problems. It discusses key events in the development of AI such as the 1956 Dartmouth Conference and Deep Blue beating the world chess champion in 1997. The document outlines several applications of AI like expert systems, speech recognition, computer vision, robotics, and game playing. It also discusses the goals, pros and cons of AI, and considers its future impact both positive in areas like automation, and potential negative consequences if not developed responsibly.
Bill Joy, the author of the article "Why the Future Doesn't Need Us?", discussed how rapidly advancing technologies like genetic engineering, nanotechnology, and robotics (GNR) could pose existential threats to humanity. While acknowledging their benefits, he warned that these complex 21st century technologies may escape human control and could be used to harm or destroy humanity. Critics argue that Joy only showed one side of the issue and that social systems can direct technologies to prevent potential dangers, but many agree that serious discussion is needed between scientists, governments, and businesses to implement necessary safeguards regarding these powerful new technologies.
Cognitive Computing and the future of Artificial IntelligenceVarun Singh
This document discusses cognitive computing and artificial intelligence. It defines cognitive computing as systems that learn from experience and instructions to mimic human cognition by synthesizing information, finding patterns rather than exact answers, and interacting naturally with humans. Specific examples discussed are IBM's Watson, which uses natural language processing and machine learning to answer questions and make complex decisions from vast amounts of data. The document also discusses concerns about the future risks of artificial intelligence, such as superintelligent systems that humans may not be able to control and could ultimately replace humans.
Are organizations like brains?
Examines the importance of information process, learning, and intelligence and provides a frame of reference for understanding and assessing modern organizations in these terms. It also provides a set of principles for creating “learning organizations”.
This chapter introduces key concepts related to innovation and systems thinking. It defines innovation as an idea perceived as new by an individual or organization. It then discusses different approaches to innovation like NARS, AKIS, and agricultural innovation systems. It explains that agricultural innovation systems view knowledge generation as involving diverse actors like farmers, researchers, and policymakers. The chapter also defines a system as interrelated, interdependent components working together towards a common goal. It outlines properties of systems and categorizes systems as natural, social, or artificial. Finally, it contrasts positivist and constructivist scientific paradigms.
This document discusses the future of human-machine relationships and intelligent machines. It explores how the relationship started with simple machines and has progressed to more complex and intelligent machines. The future may see even more human-like machines that we can form emotional connections with. The document also summarizes precedents like projects that explored human-robot interaction and relationships. The overall goal is to better understand future interactions between humans and intelligent machines.
Cognitive computing aims to mimic the human brain by understanding natural language, learning from experience, and providing contextualized answers rather than single right answers. Systems like IBM Watson learn from massive amounts of data using techniques like deep question answering. While artificial intelligence research seeks to match human abilities, there is also concern that superintelligent systems may not share human values and could rapidly self-improve beyond human control, potentially threatening humanity.
This document provides an overview of artificial intelligence including:
- It defines four approaches to AI: acting humanly through the Turing test, thinking humanly through cognitive modeling, thinking rationally through symbolic logic, and acting rationally as intelligent agents.
- It then summarizes the history of AI from its origins in the 1940s through developments in knowledge-based systems, connectionism, and the emergence of intelligent agents using large datasets.
- Finally, it briefly discusses recent applications of AI such as algorithms used by Facebook, TikTok, and noise cancellation in Zoom calls.
Software systems draw on our knowledge of the universe and the disciplines that study it. Our software architectures will benefit from drawing on other disciplines.
My night with philosophers presentation - London June 8David Roden
Humanism, Transhumanism and Posthumanism
The Humanist and the transhumanist propose different methods for cultivating human capacities. The transhumanists claims that traditional techniques favoured by the humanist run up against the limits of our biology. She believes that prospective technologies could further the humanist cause by improving our nature. However, the transhumanist faces a difficulty. Her policies could produce posthumans. Evaluating posthuman lives might be impossible for us. But discounting them is not an option because she will share responsibility for their creation. I argue that one way through this impasse is for the transhumanist to produce posthumans or to become posthuman.
This document provides an overview of artificial intelligence. It defines intelligence as the ability to plan, solve problems, reason, learn, understand new situations, and apply knowledge. AI is described as building intelligent systems that can think and act like humans or rationally. The history of AI is discussed, from its origins in the 1950s to current applications. Key concepts to be learned in the semester include problem solving, machine learning, evolutionary computation, robotics, and intelligent agents. Python and NetLogo will be used as tools.
Be here when - communities and how they use technology to design themselvesJohn David Smith
Using the example of a church that is both a community and an organization to examine how technology shapes identity, togetherness, and competence. Brings together Hidalgo's framework on computation with Wenger's community of practice theory. Discusses how organizations can be intimately intertwined with the communities that they serve.
Slides with notes for my workshop at Lean UX 2014. This is an iterated version of my 2013 workshop - different exercise, slightly different content, but much is similar. Includes link to handout!
Artificial intelligence (AI) involves developing intelligent machines that can perform tasks normally requiring human intelligence. This document provides an overview of key concepts in AI including definitions of intelligence, AI, and artificial intelligence. It discusses different approaches to AI such as systems that act like humans by passing the Turing test, systems that think like humans through cognitive modeling, systems that think rationally using logical reasoning, and systems that act rationally as intelligent agents. The document also briefly outlines the history and foundations of the AI field.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
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.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Refactoring Agency
1. Why VitalismWon’t Die; or
Refactoring Agency
Mike Travers
mt@hyperphor.com
http://omniorthogonal.blogspot.co
m
RefactorCamp 2012
2. Trained in the
mechanist/reductionist tradition
• The world consists of physical objects and
forces
• This is theoretically enough to explain
everything
• Success story: molecular biology
• Not-so-successful story: AI
3.
4. Vitalism / Animism
• Mechanism violates people’s
commonsense intuitions (eg free will)
• Not going to get into this tired debate
• Old, more or less discredited theories of
“life force”
5. My nagging itch
• Despite its unscientificness,
• There’s something in vitalist and similar
theories that we need to pay attention to.
6. How to be a vitalist at MIT
• I cheated -- with the epistemological /
metaphorical turn
• How do people understand the world, and
computers, and systems?
• Through a wide variety of metaphors
including
– Animate Metaphors
– Agents
– Programming by creating networks of agents
7. Distributed Agency
• Minsky’s Society of Mind
• EO Wilson’s Ant Colonies
• Hewitt’s Actor Model of Computation
• Agre& Chapman’s Situated Action
11. Other neo-vitalists
• Christopher Alexander
from Pattern Language to a radical
metaphysics of the living
• Bruno Latour and followers
A democracy of objects
12.
13. Refactoring Agency
‘In the case of ... potato chips, it seems appropriate to
regard the hand’s actions as only quasi- or semi-
intentional, for the chips themselves seem to call forth, or
provoke and stoke, the manual labor…To eat chips is to
enter into an assemblage in which the I is not necessarily
the most decisive operator”
-- Bennett, Vibrant Matter
14. Refactoring the grammar of
agency
I ate the potato chips.
The potato chips were eaten by me.
The potato chips compelled me to eat them
I ate the potato chips.
The potato chips eta me.
???
15. So what?
• We are increasingly embedded in complex
networks of sociotechnology
• How do we make sense of it?
• We need to be able to analyze systems
through simultaneous application of a variety
of cognitive systems:
– Mechanical
– Tool
– Agency
• Software has goals of its own, whether we
acknowledge it or not