The document describes Maphub, an open annotation platform for annotating and commenting on historic maps. It provides an overview and then discusses Maphub's demonstration video, its open annotation API, and lessons learned. The API supports two types of annotations - georeference annotations which link regions of maps to external resources, and commentarial annotations which allow comments on maps.
This document summarizes Maphub and Annotorious, which are tools for annotating historical maps and images. Maphub is an online app that allows users to explore and annotate digitized historical maps. It has features like geo-referencing, map overlays, textual annotations with semantic tagging, multilingual search, and integration with the W3C Open Annotation API. Annotorious is a JavaScript library that adds annotation capabilities to existing web pages. It allows images to be marked as annotatable and supports features like bounding boxes and polygons. The document encourages users to get involved with these open source projects and discusses how they fit into the broader context of linked data and semantic annotation tools.
Maphub - Annotations and Semantic Tags on Historical MapsBernhard Haslhofer
The document summarizes a presentation about Maphub, a project that allows users to annotate and semantically tag historical maps. It discusses how Maphub uses the Open Annotation Collaboration framework to enable georeferencing and commentarial annotations on maps from the Library of Congress. It also describes a study that found semantic tagging in Maphub did not significantly affect how many tags users created or their workload, but helped relate tags to defined concepts.
Augmenting Europeana Content with Linked Data ResourcesBernhard Haslhofer
This document discusses augmenting content in Europeana, a digital library of European cultural heritage, with linked data resources. It describes tools for video and map annotation that integrate user annotations with linking to external resources. Annotations are exposed as linked data on the web using common vocabularies and are linked to databases like DBpedia to provide additional context and multilingual retrieval capabilities. Future work aims to improve integration with retrieval systems and investigate uses for map annotation and geo-referencing.
ResourceSync: Leveraging Sitemaps for Resource SynchronizationBernhard Haslhofer
This document discusses ResourceSync, a framework for synchronizing web resources between a source and destination. It describes common synchronization scenarios like mirroring arXiv and Wikipedia. The basics of ResourceSync are explained, including using XML sitemaps to provide a resource list, change list, resource dump, and capabilities list. Demos of the ResourceSync client and simulator are shown. The status and next steps of the ResourceSync specification and tools are outlined.
The document discusses Linked Data in the context of digital library systems. It provides an overview of the evolution of digital libraries from isolated data silos to a vision of interconnected data on the web using Linked Data principles and technologies. It then analyzes several existing Linked Data services that expose library data, subject headings and classifications as Linked Data, including the Library of Congress, the Swedish national library catalogueLIBRIS, and subject heading vocabularies like RAMEAU and Dewey Decimal Classification summaries. The goal is to better integrate library standards and data with the web architecture.
BITCOIN - De-anonymization and Money Laundering Detection StrategiesBernhard Haslhofer
This document discusses strategies for de-anonymizing bitcoin transactions and detecting money laundering on the bitcoin blockchain. It describes cross-referencing the blockchain with external data like forum posts to link user information to transactions. It also discusses learning the peer-to-peer network topology by observing which servers forward transaction information. Methods for scanning the blockchain for known money laundering patterns and reverse engineering mixing services are presented. Finally, transaction blacklisting is proposed as a prevention strategy.
The document introduces the vision and concepts of the Web of Data and Linked Open Data. It discusses representing data using URIs and RDF to allow linking between different data sources on the Web. It outlines existing datasets that have been published as Linked Open Data through the Linking Open Data project. The goal is to extend the Web with a data commons by publishing open datasets as RDF and linking between different data sources.
YUMA is an open-source annotation framework and set of tools developed for annotating multimedia objects on the web, including historic maps. It allows for cooperative annotation and research. The demo annotates a historic map from the Library of Congress with places, people and descriptions. YUMA implements the Open Annotation data model to link annotations to targets on maps and other metadata. Issues being addressed include tiled map annotations and content negotiation.
This document summarizes Maphub and Annotorious, which are tools for annotating historical maps and images. Maphub is an online app that allows users to explore and annotate digitized historical maps. It has features like geo-referencing, map overlays, textual annotations with semantic tagging, multilingual search, and integration with the W3C Open Annotation API. Annotorious is a JavaScript library that adds annotation capabilities to existing web pages. It allows images to be marked as annotatable and supports features like bounding boxes and polygons. The document encourages users to get involved with these open source projects and discusses how they fit into the broader context of linked data and semantic annotation tools.
Maphub - Annotations and Semantic Tags on Historical MapsBernhard Haslhofer
The document summarizes a presentation about Maphub, a project that allows users to annotate and semantically tag historical maps. It discusses how Maphub uses the Open Annotation Collaboration framework to enable georeferencing and commentarial annotations on maps from the Library of Congress. It also describes a study that found semantic tagging in Maphub did not significantly affect how many tags users created or their workload, but helped relate tags to defined concepts.
Augmenting Europeana Content with Linked Data ResourcesBernhard Haslhofer
This document discusses augmenting content in Europeana, a digital library of European cultural heritage, with linked data resources. It describes tools for video and map annotation that integrate user annotations with linking to external resources. Annotations are exposed as linked data on the web using common vocabularies and are linked to databases like DBpedia to provide additional context and multilingual retrieval capabilities. Future work aims to improve integration with retrieval systems and investigate uses for map annotation and geo-referencing.
ResourceSync: Leveraging Sitemaps for Resource SynchronizationBernhard Haslhofer
This document discusses ResourceSync, a framework for synchronizing web resources between a source and destination. It describes common synchronization scenarios like mirroring arXiv and Wikipedia. The basics of ResourceSync are explained, including using XML sitemaps to provide a resource list, change list, resource dump, and capabilities list. Demos of the ResourceSync client and simulator are shown. The status and next steps of the ResourceSync specification and tools are outlined.
The document discusses Linked Data in the context of digital library systems. It provides an overview of the evolution of digital libraries from isolated data silos to a vision of interconnected data on the web using Linked Data principles and technologies. It then analyzes several existing Linked Data services that expose library data, subject headings and classifications as Linked Data, including the Library of Congress, the Swedish national library catalogueLIBRIS, and subject heading vocabularies like RAMEAU and Dewey Decimal Classification summaries. The goal is to better integrate library standards and data with the web architecture.
BITCOIN - De-anonymization and Money Laundering Detection StrategiesBernhard Haslhofer
This document discusses strategies for de-anonymizing bitcoin transactions and detecting money laundering on the bitcoin blockchain. It describes cross-referencing the blockchain with external data like forum posts to link user information to transactions. It also discusses learning the peer-to-peer network topology by observing which servers forward transaction information. Methods for scanning the blockchain for known money laundering patterns and reverse engineering mixing services are presented. Finally, transaction blacklisting is proposed as a prevention strategy.
The document introduces the vision and concepts of the Web of Data and Linked Open Data. It discusses representing data using URIs and RDF to allow linking between different data sources on the Web. It outlines existing datasets that have been published as Linked Open Data through the Linking Open Data project. The goal is to extend the Web with a data commons by publishing open datasets as RDF and linking between different data sources.
YUMA is an open-source annotation framework and set of tools developed for annotating multimedia objects on the web, including historic maps. It allows for cooperative annotation and research. The demo annotates a historic map from the Library of Congress with places, people and descriptions. YUMA implements the Open Annotation data model to link annotations to targets on maps and other metadata. Issues being addressed include tiled map annotations and content negotiation.
Decentralized Finance (DeFi) - Understanding Risks in an Emerging Financial P...Bernhard Haslhofer
Decentralized finance (DeFi) protocols allow for permissionless and transparent financial services on distributed ledgers using smart contracts. However, DeFi comes with various technical, economic, and systemic risks. At the technical level, smart contract vulnerabilities and network congestion could be exploited. Behavior like front-running on public transaction data allows some agents to profit. Systemic risks also exist if protocols become interconnected in complex ways. Understanding both individual protocols and their compositions is important to help address these risks.
Token Systems, Payment Channels, and Corporate CurrenciesBernhard Haslhofer
This document provides a summary of token systems, payment channels, and corporate currencies. It begins with defining key concepts like tokens, token systems, and cryptocurrencies. It then discusses Ethereum token standards like ERC-20 and ERC-721 and provides examples. Payment channels are introduced as a solution for blockchain scalability, and implementations like the Lightning Network and Raiden Network are summarized. Finally, it discusses corporate currencies like Libra and compares them to cryptocurrencies. The document aims to explain and demystify recent developments in the crypto space.
Dr. Bernhard Haslhofer presented on measurements and analytics techniques for cryptocurrency networks. He discussed network abstractions like transaction networks and address networks that can be used to cluster addresses and analyze cryptocurrency flows. As an example application, he described a ransomware study using the GraphSense analytics platform that identified the Locky ransomware family as generating the highest revenues, estimated at over $7 million USD, by tracing cryptocurrency transactions from seed ransomware addresses.
Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur...Bernhard Haslhofer
The document provides an overview of post-Bitcoin cryptocurrencies, off-chain transaction channels, and cryptocurrency analytics techniques. It discusses the realities of Bitcoin compared to initial promises and expectations, such as de-facto centralization and lack of anonymity. Privacy-enhancing cryptocurrencies like Monero and Zcash are introduced that aim to provide untraceable and unlinkable transactions. Off-chain payment channels like the Lightning Network are described as a solution to Bitcoin's scalability problems by moving transactions off-chain. The document concludes by outlining goals and approaches for cryptocurrency analytics to better understand the structure and dynamics of cryptocurrency ecosystems.
Insight Into Cryptocurrencies - Methods and Tools for Analyzing Blockchain-ba...Bernhard Haslhofer
This document discusses cryptocurrency analytics and summarizes a presentation on analyzing blockchain-based ecosystems. The presentation covers goals of cryptocurrency analytics like macroscopic and microscopic analysis of ecosystems. It describes approaches like using blockchain address graphs and clustering addresses. Statistics on the Bitcoin blockchain are provided. Implementation details are discussed along with a cryptocurrency analytics tool. Stakeholders like science, public authorities, and fintech are examined along with use cases for ransomware studies, law enforcement, anti-money laundering compliance, and evaluating blockchain technology. Future research directions include cybercrime, financial crime forensics, and off-chain transaction channels.
O Bitcoin Where Art Thou? An Introduction to Cryptocurrency AnalyticsBernhard Haslhofer
This document discusses cryptocurrency analytics and summarizes a presentation on the topic. It introduces some of the most frequent questions received about cryptocurrency and outlines the goals of developing scalable quantitative methods and tools to better understand cryptocurrency ecosystems through micro-level analysis of individual transactions and macro-level analysis of actors and their relationships. Example analytics methods are described, including blockchain analytics techniques like address clustering and transaction network analysis.
Mind the Gap - Data Science Meets Software EngineeringBernhard Haslhofer
This document summarizes a talk on combining data science and software engineering approaches. It discusses how the two fields approach problems differently, with software engineering focusing on implementing features and ensuring quality through testing, while data science focuses on evaluating models and metrics. The document proposes a solution of defining goals, collecting ground truth data, implementing models and functions, testing and evaluating them, analyzing errors, and deploying services based on metrics. This "metrics driven software engineering" approach aims to bridge the gaps between the two fields.
GraphSense - Real-time Insight into Virtual Currency EcosystemsBernhard Haslhofer
GraphSense is a project to develop algorithms and tools for gaining insight into evolving virtual currency transaction graphs. The project will construct graphs from open and private data sources on bitcoin transactions, apply scalable anomaly detection and machine learning algorithms, and provide a dashboard for analytics. The 24-month project is led by AIT - Austrian Institute of Technology and funded by FFG - IKT der Zukunft.
Bitcoin - Introduction, Technical Aspects and Ongoing DevelopmentsBernhard Haslhofer
This document provides an introduction to Bitcoin, covering its technical aspects and ongoing developments. It begins with introductions from two presenters, Bernhard Haslhofer and Aljosha Judmayer. The agenda then outlines an overview of Bitcoin, including its introduction, technical aspects such as how the blockchain works, and ongoing developments like alternative applications and recent initiatives from MIT. It also briefly discusses Bitcoin's history with crime and potential applications beyond digital currency.
Maphub und Pelagios: Anwendung von Linked Data in den Digitalen Geisteswissen...Bernhard Haslhofer
In recent years, scientists at the Austrian Institute of Technology have been involved in numerous projects in the digital humanities area. In this talk, Dr. Bernhard Haslhofer will present two of them, both having a strong focus on applying the Linked Open Data method on datasets produced throughout the project. The first is Maphub (http://maphub.github.io/), an open source Web application which allows users to create annotations on historical maps, link these annotations with other Web sources (e.g., Wikipedia), and share annotations as Linked Open Data following the Open Annotation model. The second is Pelagios (http://pelagios-project.blogspot.co.at/), a community initiative that aims to facilitate better linking between online resources documenting the past, based on the places they refer to. To date, Pelagios interconnects 900.000+ heterogeneous digital objects - literature, archaeology, epigraphy, cartography - from 40+ international partners. The current focus of the project is to annotate Early Geospatial Documents - documents that use written or visual representation to describe geographic space prior to the European discovery of the Americas in 1492, and make the annotations available as (Linked) Open Data.
This document discusses open data and the OpenGLAM network. It provides an overview of OpenGLAM, which aims to make cultural heritage data openly available and reusable without restrictions. The document outlines the benefits of open data, such as transparency and engagement. It also describes how OpenGLAM can help cultural institutions make their resources discoverable by providing advice, examples of open collections, and connecting local open data groups.
The document provides an overview of open data principles and techniques for publishing and linking structured data on the web. It discusses key open data principles like availability and universal participation. It then covers two main techniques: linked (open) data, which uses semantic web technologies like RDF and URIs to interlink data; and microdata, which embeds structured data in HTML using tags. The presenter provides examples of open government data and linked open datasets. The goal is to create a single globally connected data space on the web through open sharing of structured data using these techniques.
This document summarizes a study on semantic tagging of historical maps. Researchers conducted an experiment comparing four tagging conditions: label-based tagging, suggestive tagging, semantic tagging, and semantic tagging with context display. They found that semantic tagging did not affect the number or types of tags created by users or their workload, as measured by a task load index, compared to other tagging techniques. Semantic tagging provided unambiguous semantic relationships to defined web resources without negative impacts on the tagging process.
Bernhard Haslhofer presented on Maphub, an open platform for mapping and annotating historical maps. Maphub allows users to participate by annotating maps with semantic tags linked to concepts in Wikipedia. These annotations add interpretive context to maps and help connect related concepts. The annotations are stored as structured data following the Open Annotation data model. By enabling collaborative annotation, Maphub aims to unlock greater engagement with and understanding of cultural heritage maps.
The document discusses the OpenGLAM initiative and OpenGLAM-AT working group in Austria. It provides background on OpenGLAM's goal of promoting open access to cultural heritage data held by galleries, libraries, archives, and museums. It outlines recent developments that expanded open access to cultural works, including Europeana releasing CC0-licensed metadata and the Getty Trust launching an open content program. The document proposes next steps for OpenGLAM-AT, such as a kickoff event, participating in discussions around open data guidelines, and creating awareness through blogging and meetups.
Semantic Tagging for old maps...and other things on the WebBernhard Haslhofer
This document discusses semantic tagging of historical maps and other digital objects on the web. It introduces Maphub, a platform for annotating and semantically tagging digitized historical maps. Maphub allows users to add comments, semantic tags linked to controlled vocabularies, and geo-references to maps. The presentation describes Maphub's features, how semantic tagging works in the system by linking visual tags to unique URIs, and plans to implement semantic tagging plugins for other annotation tools and support additional knowledge organization systems. The benefits of semantic tagging are collecting structured metadata and connecting maps and annotations to other web resources through semantic links.
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.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Decentralized Finance (DeFi) - Understanding Risks in an Emerging Financial P...Bernhard Haslhofer
Decentralized finance (DeFi) protocols allow for permissionless and transparent financial services on distributed ledgers using smart contracts. However, DeFi comes with various technical, economic, and systemic risks. At the technical level, smart contract vulnerabilities and network congestion could be exploited. Behavior like front-running on public transaction data allows some agents to profit. Systemic risks also exist if protocols become interconnected in complex ways. Understanding both individual protocols and their compositions is important to help address these risks.
Token Systems, Payment Channels, and Corporate CurrenciesBernhard Haslhofer
This document provides a summary of token systems, payment channels, and corporate currencies. It begins with defining key concepts like tokens, token systems, and cryptocurrencies. It then discusses Ethereum token standards like ERC-20 and ERC-721 and provides examples. Payment channels are introduced as a solution for blockchain scalability, and implementations like the Lightning Network and Raiden Network are summarized. Finally, it discusses corporate currencies like Libra and compares them to cryptocurrencies. The document aims to explain and demystify recent developments in the crypto space.
Dr. Bernhard Haslhofer presented on measurements and analytics techniques for cryptocurrency networks. He discussed network abstractions like transaction networks and address networks that can be used to cluster addresses and analyze cryptocurrency flows. As an example application, he described a ransomware study using the GraphSense analytics platform that identified the Locky ransomware family as generating the highest revenues, estimated at over $7 million USD, by tracing cryptocurrency transactions from seed ransomware addresses.
Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur...Bernhard Haslhofer
The document provides an overview of post-Bitcoin cryptocurrencies, off-chain transaction channels, and cryptocurrency analytics techniques. It discusses the realities of Bitcoin compared to initial promises and expectations, such as de-facto centralization and lack of anonymity. Privacy-enhancing cryptocurrencies like Monero and Zcash are introduced that aim to provide untraceable and unlinkable transactions. Off-chain payment channels like the Lightning Network are described as a solution to Bitcoin's scalability problems by moving transactions off-chain. The document concludes by outlining goals and approaches for cryptocurrency analytics to better understand the structure and dynamics of cryptocurrency ecosystems.
Insight Into Cryptocurrencies - Methods and Tools for Analyzing Blockchain-ba...Bernhard Haslhofer
This document discusses cryptocurrency analytics and summarizes a presentation on analyzing blockchain-based ecosystems. The presentation covers goals of cryptocurrency analytics like macroscopic and microscopic analysis of ecosystems. It describes approaches like using blockchain address graphs and clustering addresses. Statistics on the Bitcoin blockchain are provided. Implementation details are discussed along with a cryptocurrency analytics tool. Stakeholders like science, public authorities, and fintech are examined along with use cases for ransomware studies, law enforcement, anti-money laundering compliance, and evaluating blockchain technology. Future research directions include cybercrime, financial crime forensics, and off-chain transaction channels.
O Bitcoin Where Art Thou? An Introduction to Cryptocurrency AnalyticsBernhard Haslhofer
This document discusses cryptocurrency analytics and summarizes a presentation on the topic. It introduces some of the most frequent questions received about cryptocurrency and outlines the goals of developing scalable quantitative methods and tools to better understand cryptocurrency ecosystems through micro-level analysis of individual transactions and macro-level analysis of actors and their relationships. Example analytics methods are described, including blockchain analytics techniques like address clustering and transaction network analysis.
Mind the Gap - Data Science Meets Software EngineeringBernhard Haslhofer
This document summarizes a talk on combining data science and software engineering approaches. It discusses how the two fields approach problems differently, with software engineering focusing on implementing features and ensuring quality through testing, while data science focuses on evaluating models and metrics. The document proposes a solution of defining goals, collecting ground truth data, implementing models and functions, testing and evaluating them, analyzing errors, and deploying services based on metrics. This "metrics driven software engineering" approach aims to bridge the gaps between the two fields.
GraphSense - Real-time Insight into Virtual Currency EcosystemsBernhard Haslhofer
GraphSense is a project to develop algorithms and tools for gaining insight into evolving virtual currency transaction graphs. The project will construct graphs from open and private data sources on bitcoin transactions, apply scalable anomaly detection and machine learning algorithms, and provide a dashboard for analytics. The 24-month project is led by AIT - Austrian Institute of Technology and funded by FFG - IKT der Zukunft.
Bitcoin - Introduction, Technical Aspects and Ongoing DevelopmentsBernhard Haslhofer
This document provides an introduction to Bitcoin, covering its technical aspects and ongoing developments. It begins with introductions from two presenters, Bernhard Haslhofer and Aljosha Judmayer. The agenda then outlines an overview of Bitcoin, including its introduction, technical aspects such as how the blockchain works, and ongoing developments like alternative applications and recent initiatives from MIT. It also briefly discusses Bitcoin's history with crime and potential applications beyond digital currency.
Maphub und Pelagios: Anwendung von Linked Data in den Digitalen Geisteswissen...Bernhard Haslhofer
In recent years, scientists at the Austrian Institute of Technology have been involved in numerous projects in the digital humanities area. In this talk, Dr. Bernhard Haslhofer will present two of them, both having a strong focus on applying the Linked Open Data method on datasets produced throughout the project. The first is Maphub (http://maphub.github.io/), an open source Web application which allows users to create annotations on historical maps, link these annotations with other Web sources (e.g., Wikipedia), and share annotations as Linked Open Data following the Open Annotation model. The second is Pelagios (http://pelagios-project.blogspot.co.at/), a community initiative that aims to facilitate better linking between online resources documenting the past, based on the places they refer to. To date, Pelagios interconnects 900.000+ heterogeneous digital objects - literature, archaeology, epigraphy, cartography - from 40+ international partners. The current focus of the project is to annotate Early Geospatial Documents - documents that use written or visual representation to describe geographic space prior to the European discovery of the Americas in 1492, and make the annotations available as (Linked) Open Data.
This document discusses open data and the OpenGLAM network. It provides an overview of OpenGLAM, which aims to make cultural heritage data openly available and reusable without restrictions. The document outlines the benefits of open data, such as transparency and engagement. It also describes how OpenGLAM can help cultural institutions make their resources discoverable by providing advice, examples of open collections, and connecting local open data groups.
The document provides an overview of open data principles and techniques for publishing and linking structured data on the web. It discusses key open data principles like availability and universal participation. It then covers two main techniques: linked (open) data, which uses semantic web technologies like RDF and URIs to interlink data; and microdata, which embeds structured data in HTML using tags. The presenter provides examples of open government data and linked open datasets. The goal is to create a single globally connected data space on the web through open sharing of structured data using these techniques.
This document summarizes a study on semantic tagging of historical maps. Researchers conducted an experiment comparing four tagging conditions: label-based tagging, suggestive tagging, semantic tagging, and semantic tagging with context display. They found that semantic tagging did not affect the number or types of tags created by users or their workload, as measured by a task load index, compared to other tagging techniques. Semantic tagging provided unambiguous semantic relationships to defined web resources without negative impacts on the tagging process.
Bernhard Haslhofer presented on Maphub, an open platform for mapping and annotating historical maps. Maphub allows users to participate by annotating maps with semantic tags linked to concepts in Wikipedia. These annotations add interpretive context to maps and help connect related concepts. The annotations are stored as structured data following the Open Annotation data model. By enabling collaborative annotation, Maphub aims to unlock greater engagement with and understanding of cultural heritage maps.
The document discusses the OpenGLAM initiative and OpenGLAM-AT working group in Austria. It provides background on OpenGLAM's goal of promoting open access to cultural heritage data held by galleries, libraries, archives, and museums. It outlines recent developments that expanded open access to cultural works, including Europeana releasing CC0-licensed metadata and the Getty Trust launching an open content program. The document proposes next steps for OpenGLAM-AT, such as a kickoff event, participating in discussions around open data guidelines, and creating awareness through blogging and meetups.
Semantic Tagging for old maps...and other things on the WebBernhard Haslhofer
This document discusses semantic tagging of historical maps and other digital objects on the web. It introduces Maphub, a platform for annotating and semantically tagging digitized historical maps. Maphub allows users to add comments, semantic tags linked to controlled vocabularies, and geo-references to maps. The presentation describes Maphub's features, how semantic tagging works in the system by linking visual tags to unique URIs, and plans to implement semantic tagging plugins for other annotation tools and support additional knowledge organization systems. The benefits of semantic tagging are collecting structured metadata and connecting maps and annotations to other web resources through semantic links.
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.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
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.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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!
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
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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.
2. Overview
• Historic Maps & Annotations
• Maphub Demo
• Maphub Open Annotation API
• Lessons Learned
OAC Phase II Review Meeting, JUly 26th, Chicago
3. Historic Maps & Annotations
OAC Phase II Review Meeting, JUly 26th, Chicago
4. Historic Maps & Annotations
OAC Phase II Review Meeting, JUly 26th, Chicago
5. Historic Maps & Annotations
OAC Phase II Review Meeting, JUly 26th, Chicago
6. Maphub Screencast
• http://vimeo.com/46114369
OAC Phase II Review Meeting, JUly 26th, Chicago
7. Maphub Open Annotation API
• Two types of Annotations
• Georeference Annotation
• Commentarial Annotation
OAC Phase II Review Meeting, JUly 26th, Chicago
11. Commentarial Annotation
"bernhard.haslhofer@ oa: "2012-07-18T02:
cornell.edu" Annotation 01:07Z"
"behas"
"2012-07-18T02:
foaf:mbox rdf:type 01:07Z"
oa:annotated
foaf:name
oa:generated
http://
http://maphubdev.
uuid:1235 maphubdev.mminf.univie.ac.at/
mminf.univie.ac.at
annotations/1
oa:annotator oa:generator
oax:hasSemanticTag oax:hasSemanticTag
oa:hasTarget oa:Specific ct:ContentAs
Resource rdf:type Text
dbpedia: rdf:type
dbpedia:
Pillars_of_Hercules Strait_of_Gibraltar uuid:4567 dcterms:
oa:hasSelector
format
image/svg
cnt:Content oa:hasBody uuid:2752
oa:hasSource
AsText oa:hasSelector
rdf:type
uuid:2751
ct:chars <svg…..>
"text/plain" http://
samos.mminf.univie.ac. rdf:type
cnt:chars uuid:2753
dc:format at/maps/raw/
g3200.ct000725C.jp2
ct:ContentAs
dcterms:
Text
In antiquity, the Strait of Gibraltar (which format
dc:format
connects the Atlantic Ocean with the rdf:type
Mediterranean Sea) was also known by the
name "The Pillars of Hercules". This is the
reason for this inscription! image/jp2 application/wkt
ct:chars
POLYGON((5315
dcterms:StillImage
5639,5444….)
OAC Phase II Review Meeting, JUly 26th, Chicago
12. Controlpoint Index
ore:
Aggregation
rdf:type
Maphub Controlpoints
dc:title
http://
maphubdev.mminf.univie.ac.at/
control_points
ore:aggregates
http://
maphubdev.mminf.univie.ac.at/
control_points/1
ore:aggregates
http://
maphubdev.mminf.univie.ac.at/
control_points/....
OAC Phase II Review Meeting, JUly 26th, Chicago
13. Annotation Index
ore:
Aggregation
rdf:type
Maphub Commentarial
Annotations
dc:title
http://
maphubdev.mminf.univie.ac.at/
annotations
ore:aggregates
http://
maphubdev.mminf.univie.ac.at/
annotations/1
ore:aggregates
http://
maphubdev.mminf.univie.ac.at/
annotations/5
OAC Phase II Review Meeting, JUly 26th, Chicago
15. Lessons Learned
• Implementing RDF in Ruby (on Rails)
• another server-side serializer
• needed to register mime-type mappings
for conneg
• implemented to_rdf() for maphub model
OAC Phase II Review Meeting, JUly 26th, Chicago
16. Lessons Learned
• OA Model Complexity
• our use cases are relatively simple
• the resulting OA serializations are pretty
complex
• demanding for developers ( = the people
who will read / use the spec)
OAC Phase II Review Meeting, JUly 26th, Chicago
17. Further Information
• http://maphub.github.com
OAC Phase II Review Meeting, JUly 26th, Chicago