Keynote talk at Bioinformatics Open Source Conference (BOSC) Special Interest Group at the 15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2007) in Vienna, July 2007 by Carole Goble, University of Manchester.
Applied Artificial Intelligence & How it's Transforming Life SciencesKumaraguru Veerasamy
In this SlideShare, we cover an overview history of artificial intelligence (AI), before exploring its applications in healthcare, biotechnology & pharmaceuticals. The slides will also cover the market outlook of AI, and how big pharmaceutical companies are investing in the technology. In addition, there are a couple of case studies on applied AI, namely in genomics and liquid biopsy (glycoproteomics).
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and...Hamidreza Bolhasani
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and Healthcare Systems
+ History of IoT
+ Internet of Nano Things (IoNT)
+ IoT and IoNT for Medical and Healthcare Systems
+ IoT and Artificial Intelligence (AI)
+ IoT and AI for Health
+ Deep Learning Accelerator
3D BIO PRINTING USING TISSUE AND ORGANSsathish sak
3D bio printing is the process of creating cell patterns in a confined space using 3D printing technologies.
3D bio printing is the layer by layer method to deposit materials known as bioinks to create tissue like structure.
Currently, bioprinting can be used to print tissues and organs to help research drug and pills.
We know that we are in an AI take-off, what is new is that we are in a math take-off. A math take-off is using math as a formal language, beyond the human-facing math-as-math use case, for AI to interface with the computational infrastructure. The message of generative AI and LLMs (large language models like GPT) is not that they speak natural language to humans, but that they speak formal languages (programmatic code, mathematics, physics) to the computational infrastructure, implying the ability to create a much larger problem-solving apparatus for humanity-benefitting applications in biology, energy, and space science, however not without risk.
Applied Artificial Intelligence & How it's Transforming Life SciencesKumaraguru Veerasamy
In this SlideShare, we cover an overview history of artificial intelligence (AI), before exploring its applications in healthcare, biotechnology & pharmaceuticals. The slides will also cover the market outlook of AI, and how big pharmaceutical companies are investing in the technology. In addition, there are a couple of case studies on applied AI, namely in genomics and liquid biopsy (glycoproteomics).
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and...Hamidreza Bolhasani
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and Healthcare Systems
+ History of IoT
+ Internet of Nano Things (IoNT)
+ IoT and IoNT for Medical and Healthcare Systems
+ IoT and Artificial Intelligence (AI)
+ IoT and AI for Health
+ Deep Learning Accelerator
3D BIO PRINTING USING TISSUE AND ORGANSsathish sak
3D bio printing is the process of creating cell patterns in a confined space using 3D printing technologies.
3D bio printing is the layer by layer method to deposit materials known as bioinks to create tissue like structure.
Currently, bioprinting can be used to print tissues and organs to help research drug and pills.
We know that we are in an AI take-off, what is new is that we are in a math take-off. A math take-off is using math as a formal language, beyond the human-facing math-as-math use case, for AI to interface with the computational infrastructure. The message of generative AI and LLMs (large language models like GPT) is not that they speak natural language to humans, but that they speak formal languages (programmatic code, mathematics, physics) to the computational infrastructure, implying the ability to create a much larger problem-solving apparatus for humanity-benefitting applications in biology, energy, and space science, however not without risk.
In this deck from the HPC User Forum, Rick Stevens from Argonne presents: AI for Science.
"Artificial Intelligence (AI) is making strides in transforming how we live. From the tech industry embracing AI as the most important technology for the 21st century to governments around the world growing efforts in AI, initiatives are rapidly emerging in the space. In sync with these emerging initiatives including U.S. Department of Energy efforts, Argonne has launched an “AI for Science” initiative aimed at accelerating the development and adoption of AI approaches in scientific and engineering domains with the goal to accelerate research and development breakthroughs in energy, basic science, medicine, and national security, especially where we have significant volumes of data and relatively less developed theory. AI methods allow us to discover patterns in data that can lead to experimental hypotheses and thus link data driven methods to new experiments and new understanding."
Watch the video: https://wp.me/p3RLHQ-kQi
Learn more: https://www.anl.gov/topic/science-technology/artificial-intelligence
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Artificial Intelligence (AI) is shaping and reshaping every industry under the sun. The Healthcare industry is not any exception.
In this presentation, I have discussed the basics of AI as well as how it is being used in various branches of the healthcare industry. I presented this topic in my departmental seminar in October 2021 and received appreciation as well as positive feedback in this regard.
THIS IS AN INTRODUCTORY PPT OF EMERGING TECHNOLOGIES AND NEED IN REAL LIFE. THIS WIL EXPLAIN BSICS ABOUT ALL EMERGING TECHNOLOGY AND THEIR APPLICATION IN VARIOUS SECTOR
AI vs Machine Learning vs Deep Learning | Machine Learning Training with Pyth...Edureka!
Machine Learning Training with Python: https://www.edureka.co/python )
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial:
1. AI vs Machine Learning vs Deep Learning
2. What is Artificial Intelligence?
3. Example of Artificial Intelligence
4. What is Machine Learning?
5. Example of Machine Learning
6. What is Deep Learning?
7. Example of Deep Learning
8. Machine Learning vs Deep Learning
Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm
Biocomputing is an interdisciplinary research area which combines biology, computer science, and engineering. It is the process of building computers that use biological materials. It uses systems of biologically derived molecules, such as proteins and DNA, to perform computational calculations. This paper provides a brief introduction to biocomputing. Matthew N. O. Sadiku | Nana K. Ampah | Sarhan M. Musa "Biocomputing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18825.pdf
Advanced Bioinks for 3D Printing: A Materials Science Perspective
The recent emergence of 3D printing technology in
tissue engineering
DESIGN PARAMETERS FOR ADVANCED
BIOINK DEVELOPMENT
MULTIMATERIAL BIOINKS FOR 3D PRINTING
A Materials Science Perspective
In this deck from the HPC User Forum, Rick Stevens from Argonne presents: AI for Science.
"Artificial Intelligence (AI) is making strides in transforming how we live. From the tech industry embracing AI as the most important technology for the 21st century to governments around the world growing efforts in AI, initiatives are rapidly emerging in the space. In sync with these emerging initiatives including U.S. Department of Energy efforts, Argonne has launched an “AI for Science” initiative aimed at accelerating the development and adoption of AI approaches in scientific and engineering domains with the goal to accelerate research and development breakthroughs in energy, basic science, medicine, and national security, especially where we have significant volumes of data and relatively less developed theory. AI methods allow us to discover patterns in data that can lead to experimental hypotheses and thus link data driven methods to new experiments and new understanding."
Watch the video: https://wp.me/p3RLHQ-kQi
Learn more: https://www.anl.gov/topic/science-technology/artificial-intelligence
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Artificial Intelligence (AI) is shaping and reshaping every industry under the sun. The Healthcare industry is not any exception.
In this presentation, I have discussed the basics of AI as well as how it is being used in various branches of the healthcare industry. I presented this topic in my departmental seminar in October 2021 and received appreciation as well as positive feedback in this regard.
THIS IS AN INTRODUCTORY PPT OF EMERGING TECHNOLOGIES AND NEED IN REAL LIFE. THIS WIL EXPLAIN BSICS ABOUT ALL EMERGING TECHNOLOGY AND THEIR APPLICATION IN VARIOUS SECTOR
AI vs Machine Learning vs Deep Learning | Machine Learning Training with Pyth...Edureka!
Machine Learning Training with Python: https://www.edureka.co/python )
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial:
1. AI vs Machine Learning vs Deep Learning
2. What is Artificial Intelligence?
3. Example of Artificial Intelligence
4. What is Machine Learning?
5. Example of Machine Learning
6. What is Deep Learning?
7. Example of Deep Learning
8. Machine Learning vs Deep Learning
Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm
Biocomputing is an interdisciplinary research area which combines biology, computer science, and engineering. It is the process of building computers that use biological materials. It uses systems of biologically derived molecules, such as proteins and DNA, to perform computational calculations. This paper provides a brief introduction to biocomputing. Matthew N. O. Sadiku | Nana K. Ampah | Sarhan M. Musa "Biocomputing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18825.pdf
Advanced Bioinks for 3D Printing: A Materials Science Perspective
The recent emergence of 3D printing technology in
tissue engineering
DESIGN PARAMETERS FOR ADVANCED
BIOINK DEVELOPMENT
MULTIMATERIAL BIOINKS FOR 3D PRINTING
A Materials Science Perspective
An Introduction to Bioinformatics
Drexel University INFO648-900-200915
A Presentation of Health Informatics Group 5
Cecilia Vernes
Joel Abueg
Kadodjomon Yeo
Sharon McDowell Hall
Terrence Hughes
A description of how technology has changed the face of Biology, specially in the fields of genetics, proteomics, and evolution.
It includes a brief history, examples of usage, and a look into the future.
Results Vary: The Pragmatics of Reproducibility and Research Object FrameworksCarole Goble
Keynote presentation at the iConference 2015, Newport Beach, Los Angeles, 26 March 2015.
Results Vary: The Pragmatics of Reproducibility and Research Object Frameworks
http://ischools.org/the-iconference/
BEWARE: presentation includes hidden slides AND in situ build animations - best viewed by downloading.
Perl 5.10 for People Who Aren't Totally InsaneRicardo Signes
All the hype about perl 5.10 can sound a little intimidating. User-level pragmata! Overloadable smartmatching operator! Thread-safe refkey hashes! For Pete's sake, have you heard about lexically scoped pluggable regexp engines?
It's enough to make you think that 5.10's changes are just for the hard-core perl hackers, but it couldn't be further from the truth! The new version of Perl is full of changes that are easy to use and pack lots of useful benefits for doing plain old every day Perl programming.
We'll look at the new features, small and large, and see why you, too, will love 5.10.
Different omics platforms—genomics, transcriptomics, proteomics, metabolomics and fluxomics—are generating new insights into how biological systems work at a molecular level. Although each individual omics approach provides a global view of a specific cellular process, this view is limited to only one aspect. In order to gain a comprehensive understanding of the system as a whole, researchers are faced with the challenge of merging these different types of results.
PathVisio is an open source tool for drawing and editing biological pathways and visualizing and analyzing data. In order to make multi omics data visualization more intuitive we developed new add ons for the software to enable visualization of multiple data sets that can be about data of different types. This also allows visualization of data on the lines that symbolize interactions and reactions in the pathways, essentially adding edge visualization for network biology. In this way we can for instance show results of fluxomics studies or from dynamic system biology models.
Presentation for the BioAssist programmers face-to-face, Novemebr 17, 2008, Utrecht, The Netherlands. BioAssist is a nation-wide Bioinformatics support programme.
A keynote given on experiences in curating workflows and web services.
3rd International Digital Curation Conference: "Curating our Digital Scientific Heritage: a Global Collaborative Challenge"
11-13 December 2007
Renaissance Hotel
Washington DC, USA
Data analysis & integration challenges in genomicsmikaelhuss
Presentation given at the Genomics Today and Tomorrow event in Uppsala, Sweden, 19 March 2015. (http://connectuppsala.se/events/genomics-today-and-tomorrow/) Topics include APIs, "querying by data set", machine learning.
Science in the Web, from hypothesis to result. Publishing in silico experiments IN the Web allows us to immediately and precisely disseminate new knowledge that can affect other Web Science experiments. This is the "singularity" where a new discovery is immediately put into practice
Semantics for Bioinformatics: What, Why and How of Search, Integration and An...Amit Sheth
Amit Sheth's Keynote at Semantic Web Technologies for Science and Engineering Workshop (held in conjunction with ISWC2003), Sanibel Island, FL, October 20, 2003.
Being Reproducible: SSBSS Summer School 2017Carole Goble
Lecture 2:
Being Reproducible: Models, Research Objects and R* Brouhaha
Reproducibility is a R* minefield, depending on whether you are testing for robustness (rerun), defence (repeat), certification (replicate), comparison (reproduce) or transferring between researchers (reuse). Different forms of "R" make different demands on the completeness, depth and portability of research. Sharing is another minefield raising concerns of credit and protection from sharp practices.
In practice the exchange, reuse and reproduction of scientific experiments is dependent on bundling and exchanging the experimental methods, computational codes, data, algorithms, workflows and so on along with the narrative. These "Research Objects" are not fixed, just as research is not “finished”: the codes fork, data is updated, algorithms are revised, workflows break, service updates are released. ResearchObject.org is an effort to systematically support more portable and reproducible research exchange.
In this talk I will explore these issues in more depth using the FAIRDOM Platform and its support for reproducible modelling. The talk will cover initiatives and technical issues, and raise social and cultural challenges.
This is a brief version of earlier talks, but I think it might explain more emphatically what I think Web Science is, and why I believe it is realistic, and how SADI/SHARE technologies (or technologies like them) are important to achieve the vision
RSC|ChemSpider is one of the world’s largest online resources for chemistry related data and services. Developed with the intention of delivering access to structure-based chemistry data via the internet the ChemSpider platform hosts over 26 million unique chemical compounds aggregated from over 400 data sources and provides an environment for the community to both annotate and curate these existing data as well as deposit new data to the system. The search system delivers flexible querying capabilities together with links to external sites for publication and patent data. ChemSpider has spawned a number of projects include ChemSpider SyntheticPages for hosting openly peer-reviewed chemical synthesis articles. This presentation will review the present capabilities of the ChemSpider system providing direct examples of how to use the system to source high quality data of value to pharmaceutical companies. We will discuss some of the challenges associated with validating data quality, examine how ChemSpider is a part of the semantic web for chemistry and investigate approaches to using ChemSpider integrated to analytical instrumentation.
Can machines understand the scientific literaturepetermurrayrust
With over 5000 scientific articles per day we need machines to help us understand the content. This material is to be used at an interactive session for the Science Society at Trinity College Cambridge UK
Opening talk at the "Interdisciplinary Data Resources to Address the Challenges of Urban Living” Workshop at the Urban Big Data Centre, University of Glasgow, 4 April 2016
Wikipedia at the Royal Society: The Good, the Bad and the UglyDuncan Hull
Wikipedia has a troubled relationship with scientists and their science. Many scientists are wary of editing Wikipedia and reluctant to contribute their knowledge to it, despite its global reach. Consequently, Wikipedia's coverage of Science is very variable with many notable scientists work either completely absent or poorly described.
There are several WikiProjects that are tackling these problems across Science, including in Computational Biology, Medicine, Cell Biology, Physiology and Women Scientists.
This talk will describe how the WikiProject Royal Society has addressed these issues, through its Wikipedian in Residence scheme. We will examine the outcomes of the project as well as the challenges that remain for this ongoing collaboration between the Royal Society and Wikimedia UK.
We will discuss the good, bad and "ugly" aspects of scientists Wiki-biographies (quick biographies in Wikipedia) and draw conclusions about improving coverage of Scientists, and their Science in Wikipedia using the resources of a learned academic society.
Speaker biography: Dr. Duncan Hull is a lecturer in the School of Computer Science at the University of Manchester who started editing Wikipedia in 2004. He helped setup the Wikipedian in Residence scheme at the Royal Society in 2012.
Bibliography 2.0: A citeulike case study from the Wellcome Trust Genome CampusDuncan Hull
Abstract: This talk will describe the use of http://www.citeulike.org to manage and share bibliographic references among 1300 scientists and engineers working at the Sanger Institute (http://www.sanger.ac.uk) and European Bioinformatics Insitute (http://www.ebi.ac.uk) based on the Wellcome Trust Genome Campus in Cambridge, UK. Using data from references shared so far, we will illustrate the costs, benefits and adoption of citeulike to create and share bibliographic data on the web.
Presentation from The Influence and Impact of Web 2.0 on Various Applications at the National e-Science Centre, Edinburgh, UK.
Part of a joint presentation with Midori Harris comparing OWL (Web Ontology Language) and OBO (Open Biomedical Ontologies) as ontology languages, This presentation concentrates on OWL, Midori Harris presented OBO.
Accessing small molecule data using ChEBIDuncan Hull
Presentation on Chemical Entities of Biological Interest (ChEBI) for the Programmatic Access to Biological Databases (Perl) course
22-26 February 2010 @ EBI
Slides from the "Author Identity – Creating a new kind of reputation online" session at Science Online London (solo09) with Duncan Hull, Geoffrey Bilder, Michael Habib, Reynold Guida
ResearcherID, Contributor ID, Scopus Author ID, etc. help to connect your scientific record. How do these tools connect to your online identity, and how can OpenID and other tools be integrated? How can we build an online reputation and when should we worry about our privacy?
Digital Identity is fundamental to collaboration in bioinformatics research and development because it enables attribution, contribution, publication to be recorded and quantified.
However, current models of identity are often obsolete and have problems capturing both small contributions "microattribution" and large contributions "mega-attribution" in Science. Without adequate identity mechanisms, the incentive for collaboration can be reduced, and the utility of collaborative social tools hindered.
Using examples of metabolic pathway analysis with the taverna workbench and myexperiment.org, this talk will illustrate problems and solutions to identifying scientists accurately and effectively in collaborative bioinformatics networks on the Web.
The Year of Blogging Dangerously: Lessons from the "Blogosphere". This talk will describe how to build an institutional repository using free (or cheap) web-based and blogging tools including flickr.com, slideshare.net, citeulike.org, wordpress.com, myexperiment.org and friendfeed.com. We will discuss some strengths and limitations of these tools and what Institutional Repositories can learn from them.
Defrosting the Digital Library: A survey of bibliographic tools for the next ...Duncan Hull
After centuries with little change, scientific libraries have recently experienced massive upheaval. From being almost entirely paper-based, most libraries are now almost completely digital. This information revolution has all happened in less than 20 years and has created many novel opportunities and threats for scientists, publishers and libraries.
Today, we are struggling with an embarassing wealth of digital knowledge on the Web. Most scientists access this knowledge through some kind of digital library, however these places can be cold, impersonal, isolated, and inaccessible places. Many libraries are still clinging to obsolete models of identity, attribution, contribution, citation and publication.
Based on a review published in PLoS Computational Biology, http://pubmed.gov/18974831 this talk will discuss the current chilly state of digital libraries for biologists, chemists and informaticians, including PubMed and Google Scholar. We highlight problems and solutions to the coupling and decoupling of publication data and metadata, with a tool called http://www.citeulike.org. This software tool exploits the Web to make digital libraries “warmer”: more personal, sociable, integrated, and accessible places.
Finally issues that will help or hinder the continued warming of libraries in the future, particularly the accurate identity of authors and their publications, are briefly introduced. These are discussed in the context of the BBSRC funded REFINE project, at the National Centre for Text Mining (NaCTeM.ac.uk), which is linking biochemical pathway data with evidence for pathways from the PubMed database.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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!
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
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.
1. The Seven Deadly Sins of Bioinformatics Professor Carole Goble [email_address] The University of Manchester, UK The myGrid project OMII-UK
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3. Intractable Problems in Bioinformatics. Have we sinned? Are these part of the intractable problem?
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7. They came up with more than seven. But I beat them into submission. Many are highly inter-related. Hopefully they are all too familiar.
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11. Comparative Genomics? Tisk! Its Comparative Bioinformatics Bioinformatics is about mapping one schema to another, one format to another, one id scheme to another. What a waste of time. What a handy distraction from doing some Real Science™.
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20. The “Oh No” OBO Pragmatists Aesthetics Philosophers Life Scientists Capulets Knowledge Representation Montagues A means to an end Content providers Theoreticians The end Mechanism providers Spiritual guides The Montagues and The Capulets …SOFG 2004, KCap 2005, Comparative and Functional Genomics 2004 Endurants, Perdurants, Being, Substance, Event
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31. A few months in the laboratory (or the computer) can save a few hours in the library (or on Google). Westheimer's Law (with additions).
35. Why don’t biologists modularise OWL ontologies properly? Er, well, like how should we do it “properly” and where are the tools to help us? We don’t know and we haven’t got any. But here are some vague guidelines. W3C Semantic Web for Life Sciences mailing list, 2005
36. “ I don't blame them [MGED/PSI community] because to truly comprehend RDF/OWL is not an easy task, it takes not just the understand of technology itself but more so the vision on how things should and can work in SW.” “ One thing we have to remember is that biologists are building ontologies to do a job of work. They are not produced as some end of CS or SW research” “ Principles are all well and good, but we should know from decades of software engineering that saying "do it properly" isn't a solution. We need tooling and methodologies that do not in themselves hinder a domain specialist. In many cases it is easier to re-develop than re-use or even cut-and-paste from an existing ontology than it is to muck around “doing it properly”” “ There is actually a gap between the view of ontology for CS people and for biological people. The ontology in biologist's eyes are more of a treaty than logical representation, that in CS view is on the reverse of that view. It needs dialog to bring the view to a middle ground and mechanisms to stretch to both directions.”
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40. Trust I don’t trust your code I don’t trust your data I don’t trust you will still be around in 1 year
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53. The myGrid Semantic Sweatshop notice how tired they look Franck Tanoh Katy Wolstencroft
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59. A good User Experience outweighs smart features. Can I use it? Is the user interface familiar? Does it fit with my needs?
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66. Distributed Annotation System Mash-Up http://www.biodas.org Reference Server AC003027 AC005122 M10154 Annotation Server Annotation Server AC003027 M10154 WI1029 AFM820 AFM1126 WI443 AC005122 Annotation Server
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73. “ No experiment is reproducible.” Wyszowski's Law “ An experiment is reproducible until another laboratory tries to repeat it.” Alexander Kohn
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76. “ I am sure one could reuse large parts of re-annotation for building transcriptome maps, if they only used workflows and ontologies”. Marco Roos A Biologist and Bioinformatician VL-e Project, Amsterdam
77. “ Bioinformaticians have reached the standards of the 1980s, while computer scientists are working on the standards of the 2020s, leaving roughly 40 years to bridge. Marco Roos A Biologist and Bioinformatician VL-e Project, Amsterdam
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82. Sin Summary Maybe only one “original sin” in bioinformatics. Parochialism and Insularity Exceptionalism Autonomy or death! Vanity: Pride and Narcissism Monolith Meglomania Scientific method Sloth Instant Gratification Reinvention Churn
83. Can we become less sinful? Why do these sins exist? Are bioinformaticians particularly naughty? No naughtier than Computer Scientists. And its all very hard. Though they are naughty…
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88. FaceBook & Bazaar for Workflow e-Scientists myexperiment.org Trials start August 2007!