Opportunities for AI in Intelligent Web-based Technology-Supported Learning

•Transferir como PPT, PDF•

2 gostaram•2,774 visualizações

Talk I gave at WISM’09-AICI'09 (2009 International Conference on Web Information Systems and Mining and the 2009 International Conference on Artificial Intelligence and Computational Intelligence) where I describe research opportunities offered by today's Web 2.0 and Semantic Web.

Tecnologia

Opportunities for AI in Intelligent Web-based Technology-Supported Learning Carsten Ullrich Jian Wang Ruimin Shen Frank Quosdorf

Today’s Web: enormous potential for AI in technology supported learning.

Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited

Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends

Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends Example

Mash-ups Yahoo! Pipes http://www.flickr.com/photos/seeminglee/1950911618/

Personal Learning Environments http://role-project.eu

Architecture of Assembly makes it easier to build complex services

Architecture of Assembly adds to Web of documents a layer of reusable services

Opportunities: -access to huge amounts of data useful for learning process; -analyze user generated content, e.g., to make estimations about their knowledge/competencies; -finding/combining services and combining to train specific skills.

Trend: User-Centered Web focuses on the individual using these documents and services

OpenID: decentralized single-sign-on mechanism OAUTH: information exchange between services OpenSocial: APIs for common functionality for social applications

Information about user: Attention Profiling Markup Language (APML) Location data: Google Gears, Firefox

Amazing amounts of data about user available Opportunity: use this data for personalization

Access to data no longer problem Problematic: Find specific relevant piece of information

Access to data no longer problem Problematic: Find specific relevant piece of information Combine data

Linked Open Data Initiative Datasets include Wikipedia, DBLP, RKB Explorer, CIA World Fact Book, OpenCyc, …

Entity Extraction ,[object Object],This is what it looks like to the machine!

Entity Extraction ,[object Object],OpenCalais ,[object Object],[object Object]

Opportunities: - Semantic Content and Semantics for free enable amazing possibilities: improved quality of service, better categorization, recommendation, automatic linking with other resources, etc.

- research workbench - bibliography manager - research network - support while writing research papers

[object Object],[object Object],[object Object]

Semantifying ,[object Object],OpenCalais ,[object Object],[object Object],DBPedia (others: Yago, Freebase, UMBEL) ,[object Object],[object Object]

Related Topics: Web_2.0 in DBPedia ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Most services: English only Services can become unavailable

Lesson: To advance science, make research results available to other parties, as a Web service or open source.

Ground breaking services and data have now become basic commodity By building upon them, research in Technology-Enhanced Learning can tackle more meaningful problems

谢谢！ [email_address] http://www.carstenullrich.net http:// www.slideshare.net/ullrich

Mais conteúdo relacionado

Mais procurados

http://www.inforum.cz/en/ This presentation provides an overview of causes why library and information services are fading out of sight for most user groups and how these users and their expectations have changed without us realizing. It contains a strong plea for a focus shift for librarians, but in fact also for companies and organisations. A focus into the environments where the users are, instead of expecting them to come to us, or our resources. Exploration of all relevant user environments for your organization, the use of new web-based technologies with Web 2.0 elements and certainly a more structural technical re-design of (library) information systems is required to deliver your services and resources at the place of need. A simple short-term solution like a QuickSearch Library Toolbar is explained, several other tools to “enrich” the user’s personal search environment, as well as the more long-term ongoing work at the Libraries of the University of Groningen and the Central Medical Library of the University Medical Center Groningen.

Inforum 2007 Into The User environment

Guus van den Brekel

Evolution Towards Web 3.0: The Semantic Web

LeeFeigenbaum

Week 2 computers, web and the internet

carolyn oldham

Jarrar: Linked Data

Mustafa Jarrar

Libraries competing with Google

UCL Institute of Education, University College London

What Are RSS Feeds?

reflectivepants49

Exploring the Use of Linked Data to Bridge State and Federal Archives

Jon Voss

Security-Challenges-in-Implementing-Semantic-Web-Unifying-Logic

Nana Kwame(Emeritus) Gyamfi

Web Mining

Shobha Rani

Web of Data as a Solution for Interoperability. Case Studies

Sabin Buraga

IACE-T Presentation

ext504

Web 1.0

Johan Koren

Data Portability with SIOC and FOAF

Uldis Bojars

Web 1.0, Web 2.0 & Web 3.0

tokey_sport

Critical Error: MI Public Libraries and Social Media

deweydistrictlibrary

Tutorial given at ICWE'13, Aalborg, Denmark on 08.07.2013 Abstract: Web crawling, a process of collecting web pages in an automated manner, is the primary and ubiquitous operation used by a large number of web systems and agents starting from a simple program for website backup to a major web search engine. Due to an astronomical amount of data already published on the Web and ongoing exponential growth of web content, any party that want to take advantage of massive-scale web data faces a high barrier to entry. In this tutorial, we will introduce the audience to five topics: architecture and implementation of high-performance web crawler, collaborative web crawling, crawling the deep Web, crawling multimedia content and future directions in web crawling research. To cite this tutorial: Please refer to http://dx.doi.org/10.1007/978-3-642-39200-9_49

Current challenges in web crawling

Denis Shestakov

<<< Slides can be found at http://www.slideshare.net/denshe/intelligent-crawling-shestakovwiiat13 >>> ------------------- Web crawling, a process of collecting web pages in an automated manner, is the primary and ubiquitous operation used by a large number of web systems and agents starting from a simple program for website backup to a major web search engine. Due to an astronomical amount of data already published on the Web and ongoing exponential growth of web content, any party that want to take advantage of massive-scale web data faces a high barrier to entry. We start with background on web crawling and the structure of the Web. We then discuss different crawling strategies and describe adaptive web crawling techniques leading to better overall crawl performance. We finally overview some of the challenges in web crawling by presenting such topics as collaborative web crawling, crawling the deep Web and crawling multimedia content. Our goals are to introduce the intelligent systems community to the challenges in web crawling research, present intelligent web crawling approaches, and engage researchers and practitioners for open issues and research problems. Our presentation could be of interest to web intelligence and intelligent agent technology communities as it particularly focuses on the usage of intelligent/adaptive techniques in the web crawling domain. -------------------

Intelligent Web Crawling (WI-IAT 2013 Tutorial)

Denis Shestakov

Full-text of my PhD dissertation titled "Search Interfaces on the Web: Querying and Characterizing" defended in ICT-Building, Turku, Finland on 12.06.2008 Thesis contributions: * New methods for deep Web characterization * Estimating the scale of a national segment of the Web * Building a publicly available dataset describing >200 web databases on the Russian Web * Designing and implementing the I-Crawler, a system for automatic finding and classifying search interfaces * Technique for recognizing and analyzing JavaScript-rich and non-HTML searchable forms * Introducing a data model for representing search interfaces and result pages * New user-friendly and expressive form query language for querying search interfaces and extracting data from result pages * Designing and implementing a prototype system for querying web databases * Bibliography with over 110 references to publications in the area of deep Web

Search Interfaces on the Web: Querying and Characterizing, PhD dissertation

Denis Shestakov

Linked data and Semantic Web Applications for Libraries

Vikas Bhushan

The Web, the User and the Library

Guus van den Brekel

Mais procurados (20)

Inforum 2007 Into The User environment

Evolution Towards Web 3.0: The Semantic Web

Week 2 computers, web and the internet

Jarrar: Linked Data

Libraries competing with Google

What Are RSS Feeds?

Exploring the Use of Linked Data to Bridge State and Federal Archives

Security-Challenges-in-Implementing-Semantic-Web-Unifying-Logic

Web Mining

Web of Data as a Solution for Interoperability. Case Studies

IACE-T Presentation

Web 1.0

Data Portability with SIOC and FOAF

Web 1.0, Web 2.0 & Web 3.0

Critical Error: MI Public Libraries and Social Media

Current challenges in web crawling

Intelligent Web Crawling (WI-IAT 2013 Tutorial)

Search Interfaces on the Web: Querying and Characterizing, PhD dissertation

Linked data and Semantic Web Applications for Libraries

The Web, the User and the Library

Semelhante a Opportunities for AI in Intelligent Web-based Technology-Supported Learning

Rapid Prototyping of a Semantic-Web-based Research Workbench

Carsten Ullrich

Web was developed to share information among the users through internet as some hyperlinked documents. If someone wants to collect some data from the web he has to search and crawl through the documents to fulfil his needs. Concept of Linked Data creates a breakthrough at this stage by enabling the links within data. So, besides the web of connected documents a new web developed both for humans and machines, i.e., the web of connected data, simply known as Linked Data Web. Since it is a very new domain, still a very few works has been done, specially the publication of legacy data within a University domain as Linked Data.

Linked Data Generation for the University Data From Legacy Database

dannyijwest

Web 2.0, Hip or Hype - A Library Perspective

libsys

Northwest Elearning Community Conference Keynote

webstu

Northwest eLearning Community Conference Keynote (10-07)

Cable Green

Semantic.edu, an introduction

Bryan Alexander

Web 2.0 workshop

Martin Weller

Web 2.0: Implications for Library Services

ADINET Ahmedabad

Client Side Technologies

JIMS LAJPAT NAGAR

Web 2.0 By Nyros Developer

Nyros Technologies

Semantic Web 2.0: Creating Social Semantic Information Spaces

John Breslin

Semantic Web Training

jeufair

Document of presentation(web 3.0)(part 2)

Abhishek Roy

Web intelligence-future of next generation web

Sanjeev Kumar Jaiswal

Projects Summary

Christopher Wimble

Science and Web2.0

Ian Mulvany

Web3.0- How brands can take advantage of the semantic shift - Brandsential

Jeffrey V

Immersion Program Presentation Web2

Rick Reo

Week 2 computers, web and the internet

carolyn oldham

Defining Web 2.0 and RIA

Arielladog

Semelhante a Opportunities for AI in Intelligent Web-based Technology-Supported Learning (20)

Rapid Prototyping of a Semantic-Web-based Research Workbench

Linked Data Generation for the University Data From Legacy Database

Web 2.0, Hip or Hype - A Library Perspective

Northwest Elearning Community Conference Keynote

Northwest eLearning Community Conference Keynote (10-07)

Semantic.edu, an introduction

Web 2.0 workshop

Web 2.0: Implications for Library Services

Client Side Technologies

Web 2.0 By Nyros Developer

Semantic Web 2.0: Creating Social Semantic Information Spaces

Semantic Web Training

Document of presentation(web 3.0)(part 2)

Web intelligence-future of next generation web

Projects Summary

Science and Web2.0

Web3.0- How brands can take advantage of the semantic shift - Brandsential

Immersion Program Presentation Web2

Week 2 computers, web and the internet

Defining Web 2.0 and RIA

Mais de Carsten Ullrich

Keynote at the 3rd Annual International Conference of the Immersive Learning Research Network, iLRN 2017 Today’s shop floor, the area of a factory where operatives assemble products, is a complex and demanding work environment. The employed and produced technology becomes ever more complex, and employees are responsible for an increasing amount of tasks. As a consequence, the employee is under constant pressure to solve problems occurring on the shop floor as fast as possible, and simultaneously to improve his work-related knowledge, skills, and capabilities. This keynotes presents the outcome of the APPsist project, which investigated how adaptive technology can support the employee on the shop floor in this challenging environment.

Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...

Carsten Ullrich

An ontology expresses a common understanding of a domain that serves as a basis of communication between people or systems, and enables knowledge sharing, reuse of domain knowledge, reasoning and thus problem solving. In Technology-Enhanced Learning, especially in Intelligent Tutoring Systems and Adaptive Learning Environments, ontologies serve as the basis of adaptivity and personalization. For mathematics learning and similarly structured domains, ontologies and their usage for adaptive learning are well understood and established. This contribution presents an ontology for the industrial shop floor (the area of a factory where operatives assemble products) and illustrates its usage in several learning services.

An Ontology for Learning Services on the Shop Floor

Carsten Ullrich

Today’s shop floor, the area of a factory where operatives assemble products, is a complex and demanding work environment. The employed and produced technology becomes ever more complex, and employees are responsible for an increasing amount of tasks. As a consequence, the employee is under constant pressure to solve problems occurring on the shop floor as fast as possible, and simultaneously to improve his work-related knowledge, skills, and capabilities. This paper gives an account how adaptive technology can support the employee on the shop floor in these respects. It describes the organizational requirements to take into consideration and describes a set of rules that support the employee in problem solving and knowledge acquisition.

Rules for Adaptive Learning and Assistance on the Shop Floor

Carsten Ullrich

The transformation towards Smart Manufacturing results in machines that are increasingly complex to use and to maintain, as well as in ever-complicated production processes. Coupled with a continuing reduction of staff, this leads to an increasing demand for information needs and work expertise. At the same time, these challenges offer the opportunity to enhance the employee’s leeway with respect to designing and organizing their work. The project APPsist focuses on how this transformation can be supported technically and organizationally. This paper presents the technical approach: an architecture for intelligent-adaptive assistance and knowledge services. The paper describes how process mapping identified the requirements of the APPsist system, and presents the identified services and their communication, as well as the intelligent-adaptive functionality of the services.

Assistance- and Knowledge-Services for Smart Production

Carsten Ullrich

Education in 2020 - Open Discussion at Barcamp Spring Shanghai 2013

Carsten Ullrich

Supporting Flexible Competency Frameworks

Carsten Ullrich

Technologies for development and learning

Carsten Ullrich

The Potential of Web 3.0

Carsten Ullrich

Active Learning with the Web

Carsten Ullrich

Our work analyzes the usefulness of microblogging in second language learning using the example of the social network Twitter. Most learners of English do not require even more passive input in form of texts, lectures or videos, etc. This input is readily available in numerous forms on the Internet. What learners of English need is the chance to actively produce language and the chance to use English as tool of communication. This calls for instructional methods and tools promoting ‘active’ learning that present opportunities for students to express themselves and interact in the target language. In this paper we describe how we used Twitter with students of English at the Distant College of Shanghai Jiao Tong University. We analyze the students’ messages and show how the usage of Twitter trained communicative and cultural competence. Paper: http://www.carstenullrich.net/pubs/Borau09Microblogging.pdf

Microblogging for Language Learning: Using Twitter to Train Communicative and...

Carsten Ullrich

Slides from a presentation given at Spark09. Technology disrupts. The WWW makes established business models and institutions obsolete, often almost overnight. Nobody foresaw that the proud Encyclopaedia Britannica would be replaced by Wikipedia, a Website to which everyone can contribute. But what about schools and education? Will teachers by succeeded by avatars living in virtual worlds? Or will their role change, from an instructor to a moderator, from a know-it-all to a mediator of knowledge? Web technology, from the collaborative and user-driven world of the Web 2.0 to the Web 3.0, the machine-understandable Semantic Web transforms education.

Video killed the radiostar, but will Web 3.0 kill the teacher?

Carsten Ullrich

Babbage & Lovelace: The designer of the analytical engine and its programmer

Carsten Ullrich

Why Web 2.0 is Good for Learning and for Research: Principles and Prototypes

Carsten Ullrich

Supporting Active Learning and Education by Artificial Intelligence and Web 2.0

Carsten Ullrich

At lecture for fresh(wo)men on learning theories, learning theories and language learning, using Twitter for language learning, building a personal learning environment in 10 minutes, building a personal learning environment in 10 seconds, Artificial Intelligence for learning support. In this version, there are problems with the images. Please use the pdf version for online viewing http://www.slideshare.net/ullrich/sjtu221107-176532 The ppt download is better for the animations, though.

Sjtu221107

Carsten Ullrich

Mais de Carsten Ullrich (15)

Workplace-based Learning in Industry 4.0 -- Multi-perspective approaches and ...

An Ontology for Learning Services on the Shop Floor

Rules for Adaptive Learning and Assistance on the Shop Floor

Assistance- and Knowledge-Services for Smart Production

Education in 2020 - Open Discussion at Barcamp Spring Shanghai 2013

Supporting Flexible Competency Frameworks

Technologies for development and learning

The Potential of Web 3.0

Active Learning with the Web

Microblogging for Language Learning: Using Twitter to Train Communicative and...

Video killed the radiostar, but will Web 3.0 kill the teacher?

Babbage & Lovelace: The designer of the analytical engine and its programmer

Why Web 2.0 is Good for Learning and for Research: Principles and Prototypes

Supporting Active Learning and Education by Artificial Intelligence and Web 2.0

Sjtu221107

Último

Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

UK Journal

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Microsoft's Threat Matrix for Kubernetes helps organizations understand the attack surface a Kubernetes deployment introduces to their environments. This ensures that adequate detections and mitigations are in place. By covering over 40 different attacker techniques, defenders can learn about Kubernetes-specific mitigations and controls to deploy to their environments. In this session, we will explore the MS-TA9013 Host Path Mount technique, which is commonly used by attackers to perform privilege escalation in a Kubernetes cluster. Attendees will learn how attackers and defenders can: * Escape the container's host volume mount to gain persistence on an underlying node * Move laterally from the underlying node into the customer's cloud environment * Analyze Kubernetes audit logs to detect pods deployed with a hostPath mount * Deploy an admission controller that prevents new pods from using a hostPath mount

Breaking the Kubernetes Kill Chain: Host Path Mount

Puma Security, LLC

Real Time Object Detection Using Open CV

Khem

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

Delhi Call girls

What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

HampshireHUG

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Earley Information Science

Choosing the right accounts payable services provider is a strategic decision that can significantly impact your business's financial performance and operational efficiency. By considering factors such as expertise, range of services, technology infrastructure, scalability, cost, and reputation, businesses can make informed decisions and select a provider that aligns with their unique needs and objectives. Partnering with the right provider can streamline accounts payable processes, drive cost savings, and position your business for long-term success. https://katprotech.com/accounts-payable-and-purchase-order-automation/

Factors to Consider When Choosing Accounts Payable Services Providers.pptx

Katpro Technologies

Advantages of Hiring UIUX Design Service Providers for Your Business

Pixlogix Infotech

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Igalia

Explore 'The Codex of Business: Writing Software for Real-World Solutions,' a compelling SlideShare presentation that delves into digital transformation in healthcare. Discover through a detailed case study how Agile methodologies empower healthcare providers to develop, iterate, and refine digital solutions that address real-world challenges. Learn how strategic planning, user feedback, and continuous improvement drive success in deploying technologies that enhance patient care and operational efficiency. Ideal for healthcare professionals, IT specialists, and digital transformation advocates seeking actionable insights and practical examples of technology making a real difference.

The Codex of Business Writing Software for Real-World Solutions 2.pptx

Malak Abu Hammad

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

wesley chun

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

Igalia

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

Presentation on how to chat with PDF using ChatGPT code interpreter

naman860154

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

Opportunities for AI in Intelligent Web-based Technology-Supported Learning

1. Opportunities for AI in Intelligent Web-based Technology-Supported Learning Carsten Ullrich Jian Wang Ruimin Shen Frank Quosdorf

2. Today’s Web: enormous potential for AI in technology supported learning.

3. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited

4. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends

5. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends Example

6. Trends: Architecture of Assembly

7. APIs

10. Your own system

11. RSS

12. New Articles

13. New Data

14. Mash-ups Yahoo! Pipes http://www.flickr.com/photos/seeminglee/1950911618/

15. Widgets

16. Personal Learning Environments http://role-project.eu

17.

18. Architecture of Assembly makes it easier to build complex services

19. Architecture of Assembly adds to Web of documents a layer of reusable services

20. Opportunities: -access to huge amounts of data useful for learning process; -analyze user generated content, e.g., to make estimations about their knowledge/competencies; -finding/combining services and combining to train specific skills.

21. Trend: User-Centered Web

22. Trend: User-Centered Web focuses on the individual using these documents and services

23. Network of documents Network of people

24. Live Streams Facebook Friendfeed

25. Today: Silos

26. OpenID: decentralized single-sign-on mechanism OAUTH: information exchange between services OpenSocial: APIs for common functionality for social applications

27. Information about user: Attention Profiling Markup Language (APML) Location data: Google Gears, Firefox

28. Amazing amounts of data about user available Opportunity: use this data for personalization

29. Trend: Semantics

30. Access to data no longer problem

31. Access to data no longer problem Problematic: Find specific relevant piece of information

32. Access to data no longer problem Problematic: Find specific relevant piece of information Combine data

33. Semantic Web

34. Linked Open Data Initiative Datasets include Wikipedia, DBLP, RKB Explorer, CIA World Fact Book, OpenCyc, …

35.

36.

37.

38. How to Get Semantics?

39.

40.

41.

42.

43. Opportunities: - Semantic Content and Semantics for free enable amazing possibilities: improved quality of service, better categorization, recommendation, automatic linking with other resources, etc.

44. Example: Totuba Toolkit

45. - research workbench - bibliography manager - research network - support while writing research papers

46.

47.

48.

49. Problems

50. Most services: English only Services can become unavailable

51. Lesson: To advance science, make research results available to other parties, as a Web service or open source.

52. Conclusion

53. Ground breaking services and data have now become basic commodity By building upon them, research in Technology-Enhanced Learning can tackle more meaningful problems

54. 谢谢！ [email_address] http://www.carstenullrich.net http:// www.slideshare.net/ullrich

Opportunities for AI in Intelligent Web-based Technology-Supported Learning

Recomendados

Recomendados

Mais conteúdo relacionado

Mais procurados

Mais procurados (20)

Semelhante a Opportunities for AI in Intelligent Web-based Technology-Supported Learning

Semelhante a Opportunities for AI in Intelligent Web-based Technology-Supported Learning (20)

Mais de Carsten Ullrich

Mais de Carsten Ullrich (15)

Último

Último (20)

Opportunities for AI in Intelligent Web-based Technology-Supported Learning