This document discusses how archives can use semantic web technologies like linked data to improve access to archival descriptions and resources. It provides background on the semantic web and linked data, and examples of how libraries are already using these approaches. While archival description standards like EAD currently focus on human-readable documents rather than linked data, the presenter argues the standards should evolve to represent information in a more computer-friendly and interoperable way, such as the emerging EAC standard. Overall, the presentation promotes the idea that archives can benefit from adopting semantic web best practices to better connect and expose archival information online.
An Introduction to TensorFlow architectureMani Goswami
Introduces you to the internals of TensorFlow and deep dives into distributed version of TensorFlow. Refer to https://github.com/manigoswami/tensorflow-examples for examples.
The presentation is coverong the convolution neural network (CNN) design.
First,
the main building blocks of CNNs will be introduced. Then we systematically
investigate the impact of a range of recent advances in CNN architectures and
learning methods on the object categorization (ILSVRC) problem. In the
evaluation, the influence of the following choices of the architecture are
tested: non-linearity (ReLU, ELU, maxout, compatibility with batch
normalization), pooling variants (stochastic, max, average, mixed), network
width, classifier design (convolution, fully-connected, SPP), image
pre-processing, and of learning parameters: learning rate, batch size,
cleanliness of the data, etc.
A comprehensive tutorial on Convolutional Neural Networks (CNN) which talks about the motivation behind CNNs and Deep Learning in general, followed by a description of the various components involved in a typical CNN layer. It explains the theory involved with the different variants used in practice and also, gives a big picture of the whole network by putting everything together.
Next, there's a discussion of the various state-of-the-art frameworks being used to implement CNNs to tackle real-world classification and regression problems.
Finally, the implementation of the CNNs is demonstrated by implementing the paper 'Age ang Gender Classification Using Convolutional Neural Networks' by Hassner (2015).
These are the slides from this video Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning : https://www.youtube.com/watch?v=ysBaZO8YmX8
The pytorch-tabnet repository is available here : https://github.com/dreamquark-ai/tabnet
An Introduction to TensorFlow architectureMani Goswami
Introduces you to the internals of TensorFlow and deep dives into distributed version of TensorFlow. Refer to https://github.com/manigoswami/tensorflow-examples for examples.
The presentation is coverong the convolution neural network (CNN) design.
First,
the main building blocks of CNNs will be introduced. Then we systematically
investigate the impact of a range of recent advances in CNN architectures and
learning methods on the object categorization (ILSVRC) problem. In the
evaluation, the influence of the following choices of the architecture are
tested: non-linearity (ReLU, ELU, maxout, compatibility with batch
normalization), pooling variants (stochastic, max, average, mixed), network
width, classifier design (convolution, fully-connected, SPP), image
pre-processing, and of learning parameters: learning rate, batch size,
cleanliness of the data, etc.
A comprehensive tutorial on Convolutional Neural Networks (CNN) which talks about the motivation behind CNNs and Deep Learning in general, followed by a description of the various components involved in a typical CNN layer. It explains the theory involved with the different variants used in practice and also, gives a big picture of the whole network by putting everything together.
Next, there's a discussion of the various state-of-the-art frameworks being used to implement CNNs to tackle real-world classification and regression problems.
Finally, the implementation of the CNNs is demonstrated by implementing the paper 'Age ang Gender Classification Using Convolutional Neural Networks' by Hassner (2015).
These are the slides from this video Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning : https://www.youtube.com/watch?v=ysBaZO8YmX8
The pytorch-tabnet repository is available here : https://github.com/dreamquark-ai/tabnet
Presentation at ELAG 2011, European Library Automation Group Conference, Prague, Czech Republic. 25th May 2011
http://elag2011.techlib.cz/en/815-lifting-the-lid-on-linked-data/
https://doi.org/10.6084/m9.figshare.11854626.v1
Presented at Dutch National Librarian/Information Professianal Association annual conference 2011 - NVB2011
November 17, 2011
A followup on our 2011 presentation on the new Linked Open Digital Library, discussing how we are creating a digital library centered around LInked Open Data. Include details on how we are creating a dataset of botanists and their publications that is to be shared as linked open data.
Presented at Digital Preservation 2012 (annual meeting of the National Digital Information Infrastructure and Preservation Program and the National Digital Stewardship Alliance).
ArchivesSpace: Building a Next-Generation Archives Management ToolMark Matienzo
Presentation at Digital Library Federation Forum, October 31, 2011, by Katherine Kott, ArchivesSpace Development Manager Mark A. Matienzo, ArchivesSpace Technical Architect.
Presented as part of session 101, "Building, Managing, and Participating in Online Communities: Avoiding Culture Shock Online," at the Society of American Archivists annual meeting, August 13, 2009
Cheeseburgers With Everything: Context, Content, and Connections in Archival ...Mark Matienzo
Presented at EAD@10: A Symposium Celebrating the 10th Anniversary of Encoded Archival Description, August 31, 2008. Audio available at http://www.archivists.org/publications/proceedings/EAD@10.asp.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
33. I have a dream for the Web [in which
computers] become capable of analyzing
all the data on the Web – the content, links,
and transactions between people and
computers. A ‘Semantic Web’, which should
make this possible, has yet to emerge, but
when it does, the day-to-day mechanisms of
trade, bureaucracy and our daily lives will
be handled by mac hines talking to
machines. The ‘intelligent agents’ people
have touted for ages will finally materialize.
Tim Berners-Lee, Weaving The Web.
34. Linked Data is a way
to link better.
Dan Chudnov, Better Living Through Linking.
http://onebiglibrary.net/story/tcdl-2009-talk-better-living-through-linking
36. If the series becomes the primary level of
classification, and the item the secondary
level, a) items are kept in their
administrative context and original order by
physical allocation to their appropriate
series, and b) series are no longer kept in
any original physical order in a record or
shelf group (if there is any such order) but
simply have their administrative context and
associations recorded on paper.
Peter J. Scott, “The Record Group Concept: A Case For Abandonment,” American Archivist 29(4), 1966.
37. Peter J. Scott, “The Record Group Concept: A Case For Abandonment,” American Archivist 29(4), 1966.
38. Peter J. Scott, “The Record Group Concept: A Case For Abandonment,” American Archivist 29(4), 1966.
39. Design Principles
1. Use URIs for names of things
2. Use HTTP URIs so people can look up
those names
3. Provide useful information in standard
formats at those URIs
4. Include links to other URIs so people
can discover more things
Tim Berners-Lee, Linked Data - Design Issues. http://www.w3.org/DesignIssues/LinkedData.html
44. RDF
1. Resource Description Framework
2. Presents relationships in a simple data
structure
3. We can draw graphs of those relationships
4. We can represent those relationships in
multiple formats for computers
Tim Berners-Lee, Linked Data - Design Issues. http://www.w3.org/DesignIssues/LinkedData.html
45. In RDF, we say some
thing has a property
with a certain value.