This presentation relays the message about how learning is changing through the effects of the societal and technological changes facing us. Presented at the Learning Technologies Exhibition at Olympia in 2018.
EdubloggerCon East 2011 IGNITE PresentationLisa Thumann
This document discusses infographics and provides 7 steps to create successful infographics: 1) Have an idea, 2) Get your data, 3) Choose your tool, 4) Get organized, 5) Think about it, 6) Look at examples, and 7) Edit. Infographics were presented as a potential "next big thing" in educational technology.
LITE 2018 – The Impact of AI on Education [John Peebles]getadministrate
Artificial intelligence has the potential to positively impact education by playing to the strengths of both humans and AI. AI can help with tasks like identifying student weaknesses, monitoring curriculum effectiveness, and improving scheduling to assist teachers. However, AI needs data from an accessible platform within an educational environment to be effective, otherwise there is no "garbage in" for the AI system. The main roles of AI should be facilitation, augmentation, curation, and providing decision support to teachers, acting as a "teacher's aid" rather than replacement.
Technical skills refer to knowledge and abilities related to mathematics, engineering, science, computers and specific tasks. There are several advantages to having strong technical skills in the workplace, including being able to work smarter through multitasking, feeling more confident in one's abilities, and saving time by being able to fix problems and solve issues independently rather than relying on others. Technical skills also allow access to important information online and the ability to prevent future problems through computer maintenance and upgrades.
Learning for digital natives connected to life! Kingdom of Bhutan session Jun...Lukas Ritzel
Learning for digital natives connected to life! Kingdom of Bhutan session June 2014. A wake up call for acacemics for by Lukas Ritzel an honorary member of All India Association for Educational Research ( aiaer.net/ )
Ask Not What AI Can Do For You - Nov 2023 - Slideshare.pptxD2L Barry
This document discusses the potential roles of artificial intelligence (AI) in education. It begins with a survey asking readers about their role, experience with distance education and AI tools. It then discusses how AI could be used to assist educators by automating certain repetitive tasks like writing quiz questions, lesson plans, letters of reference, and grading assignments. This would allow educators to focus on relationship building and creative thinking. The document also discusses concerns about AI and argues it is best used to enhance rather than replace human roles. It shares D2L's views that learning is a human experience that can be supported by technology.
Ask Not What AI Can Do For You - Nov 2023 - Slideshare.pptxD2L Barry
This document discusses the potential roles of artificial intelligence (AI) in education. It begins with a survey asking readers about their role, experience with distance education and AI tools. It then discusses how AI could be used to assist educators by automating certain repetitive tasks like writing quiz questions, lesson plans, letters of reference, and grading assignments. This would allow educators to focus on relationship building and creative thinking. The document also discusses concerns about AI and argues it is best used to enhance rather than replace human roles. It shares D2L's views that learning is a human experience that can be supported by technology.
EdubloggerCon East 2011 IGNITE PresentationLisa Thumann
This document discusses infographics and provides 7 steps to create successful infographics: 1) Have an idea, 2) Get your data, 3) Choose your tool, 4) Get organized, 5) Think about it, 6) Look at examples, and 7) Edit. Infographics were presented as a potential "next big thing" in educational technology.
LITE 2018 – The Impact of AI on Education [John Peebles]getadministrate
Artificial intelligence has the potential to positively impact education by playing to the strengths of both humans and AI. AI can help with tasks like identifying student weaknesses, monitoring curriculum effectiveness, and improving scheduling to assist teachers. However, AI needs data from an accessible platform within an educational environment to be effective, otherwise there is no "garbage in" for the AI system. The main roles of AI should be facilitation, augmentation, curation, and providing decision support to teachers, acting as a "teacher's aid" rather than replacement.
Technical skills refer to knowledge and abilities related to mathematics, engineering, science, computers and specific tasks. There are several advantages to having strong technical skills in the workplace, including being able to work smarter through multitasking, feeling more confident in one's abilities, and saving time by being able to fix problems and solve issues independently rather than relying on others. Technical skills also allow access to important information online and the ability to prevent future problems through computer maintenance and upgrades.
Learning for digital natives connected to life! Kingdom of Bhutan session Jun...Lukas Ritzel
Learning for digital natives connected to life! Kingdom of Bhutan session June 2014. A wake up call for acacemics for by Lukas Ritzel an honorary member of All India Association for Educational Research ( aiaer.net/ )
Ask Not What AI Can Do For You - Nov 2023 - Slideshare.pptxD2L Barry
This document discusses the potential roles of artificial intelligence (AI) in education. It begins with a survey asking readers about their role, experience with distance education and AI tools. It then discusses how AI could be used to assist educators by automating certain repetitive tasks like writing quiz questions, lesson plans, letters of reference, and grading assignments. This would allow educators to focus on relationship building and creative thinking. The document also discusses concerns about AI and argues it is best used to enhance rather than replace human roles. It shares D2L's views that learning is a human experience that can be supported by technology.
Ask Not What AI Can Do For You - Nov 2023 - Slideshare.pptxD2L Barry
This document discusses the potential roles of artificial intelligence (AI) in education. It begins with a survey asking readers about their role, experience with distance education and AI tools. It then discusses how AI could be used to assist educators by automating certain repetitive tasks like writing quiz questions, lesson plans, letters of reference, and grading assignments. This would allow educators to focus on relationship building and creative thinking. The document also discusses concerns about AI and argues it is best used to enhance rather than replace human roles. It shares D2L's views that learning is a human experience that can be supported by technology.
We Define AI as anything that makes machines act more intelligently
We like to think of AI as augmented intelligence
We believe that AI should not attempt to replace human experts, but rather extend human capabilities and accomplish tasks that neither humans nor machines could do on their own.
The internet has given us access to more information, faster.
Distributed computing and IoT have led to massive amounts of data.
Social networking has encouraged most of that data to be unstructured.
With Augmented Intelligence, we are putting information that subject matter experts need at their fingertips, and backing it with evidence so they can make informed decisions.
We want experts to scale their capabilities and let the machines do the time-consuming work.
How can artificial intelligence be used in e learning GlobalTechCouncil
Artificial Intelligence allows for machines to learn from past experience, adjust to present inputs and perform human-like tasks, with utmost perfection. Research estimates that the artificial intelligence market will grow to a $190 billion industry by 2025. And by 2021, uses of artificial intelligence in education industry will grow by 47.5%.
In our dynamic session at Diet Ernakulam, we explored the transformative possibilities of integrating Artificial Intelligence (AI) in educational settings. The talk aimed to empower primary school educators with insights and practical strategies to leverage AI for an enriched learning experience. This talk marks the beginning of an ongoing conversation. The journey of integrating AI in classrooms is an evolving one, and we look forward to continued collaboration, exploration, and innovation in the intersection of education and technology.
The Tragedy of Bias in Technical Hiring in Five Acts (Grace Hopper 2014)Kelsey Anderson Foley
Why do some companies succeed in hiring women engineers while others struggle with even attracting qualified female candidates? This talk will follow fictitious hiring manager Monty Gue from startup Roam.io and savvy engineer Julie Ette through the recruiting and interviewing process while exposing subtle biases in hiring practices that drive technical women elsewhere. Using recent behavioral psychology research on judgment and bias, it will provide insight for better approaches.
Role of Artificial Intelligence in Education.pptxRajatPawan
Artificial intelligence has the potential to significantly impact education. It can automate tasks like grading to save teachers time, and adapt educational software and materials to individual student needs through machine learning. AI also enables personalized tutoring and feedback to support students. However, developing human-level AI is very costly and current systems lack creativity and ability to make ethical decisions like humans. Overall, AI may change how and where students learn by taking over certain teaching roles and basic skill acquisition, while shifting teachers to facilitators, but humans will still need to ensure its safe development and implementation.
Artificial intelligence has the potential to significantly impact education. It can automate tasks like grading to save teachers time, and adapt educational software and materials to individual student needs through machine learning. AI also enables personalized tutoring and feedback to support students. While costs are currently high and AI lacks creativity, its 24/7 availability, reduction of human errors, and unbiased decision-making provide advantages to the education system. The role of humans will be to ensure the safe and responsible development of AI.
These Slides includes the basic understanding of cutting-edge technology Machine Learning and Artificial Intelligence, its misconceptions, a discrimination b/w machine and humans, and some of the major applications of AI.
Reaching and Teaching Employees in a 24x7 Connected World - mLearn Conference...BizLibrary
This document discusses the changing landscape of employee learning and development. It notes that traditional classroom-based and eLearning approaches are no longer sufficient due to factors like the volume of information, mobile access, and an always-on workplace. It advocates for a more social, collaborative, and mobile-first approach to content curation and delivery. Learning should focus on preparing employees for future skills and jobs that don't yet exist. The role of learning and development professionals is evolving from instructors to content curators and facilitators of informal, network-based learning.
Professor Chris Tisdell, UNSW: Teacherbot - toward AI in higher educationStudiosity.com
"Any teacher who could be replaced by a robot, should be." Professor Chris Tisdell engages the audience in a chat with a bot and explores how quickly higher education could or couldn't be replaced with artificial intelligence.
Watch the video of Chris' presentation at https://youtu.be/sFPhktaMMno [28mins]
This document discusses empowering people leaders for the future of work through artificial intelligence. It provides an overview of generative AI tools that can be used for various HR functions such as job description generation, candidate sourcing, and employee feedback analysis. The document also discusses considerations for people leaders looking to adopt AI, including assessing organizational readiness, building pilot programs, and communicating with employees. Key takeaways are that while AI holds potential, its use requires caution, oversight, and ensuring ethical, regulated and privacy-compliant practices.
AI - How Artificial Intelligence Will Impact Your BusinessPaul Barter
AI - How Artificial Intelligence Will Impact Your Business
DESCRIPTION:
AI (Artificial Intelligence) has the potential to radically transform employment, productivity and society. Business decision makers need to mitigate underlying risks and invest appropriately to drive future competitive advantage.
The document discusses trends in education related to artificial intelligence (AI). It states that the AI market in the US education sector is forecast to grow 47.77% annually through 2022. The main objectives of AI in education are to optimize routine processes, improve speed and efficiency, and tailor education to individual student needs. Potential roles of AI include personalizing learning, producing customized content, automating administrative tasks, providing tutoring, and ensuring access for students with special needs. Benefits include 24/7 access to learning, better student engagement, and less academic pressure. The document outlines steps to implement AI and concludes that AI will serve as an extension for teachers rather than replacing them.
Training: A Key Component of the Global Information Experiencedclsocialmedia
Corporate training happens everywhere in the enterprise. Whenever a new employee joins the company, a new product is released to the market, or a new internal initiative is launched, there’s a need for training. And just as with other types of content, learners demand an adaptive model -- learning tailored to meet individual needs, delivered in multiple formats, and be available on demand.
The future of work is changing. Forces of change are affecting the three major dimensions of work: the work itself, who does the work, and where work is done. Delivering projects, requires project managers working globally, across time zones, cultures and with technology. This is causing considerable anxiety—and with good reason. The future of project management, therefore, stands at an important juncture and requires the knowledge of Artificial Intelligence (AI), Emotional Intelligence (EQ) and Cultural Intelligence (CQ). Emotional intelligence skills such as influencing, persuading, social understanding and empathy will become differentiators as artificial intelligence and machine learning take over work. Emotional intelligence (EQ) , with its ability to understand how skilfully one manages personal emotions and harnesses the emotional drivers in others, will continue to be fundamentally important. But in the connected world where all global markets are accessible with the click of a mouse, another dimension will be critical - Cultural Intelligence (CQ). A balance of these three field and/or skills is a must have for all project managers and organisations that deliver value through project management. We need to learn how to work in this new environment and how we can excel. The aim of this presentation is to explain how, AI, EQ and CQ is set to transform project management, and show how project managers can develop these capabilities and be ready for the future.
Slides Chris Butler recently used in his discussion w/ mentees of The Product Mentor.
Synopsis: In this talk, Vikas will share his thoughts on what is Product Strategy and how Product Managers can develop it, He will also share some concepts in Strategy and how Product Managers can apply them to make their products more successful.
The Product Mentor is a program designed to pair Product Mentors and Mentees from around the World, across all industries, from start-up to enterprise, guided by the fundamental goals…Better Decisions. Better Products. Better Product People.
Throughout the program, each mentor leads a conversation in an area of their expertise that is live streamed and available to both mentee and the broader product community.
http://TheProductMentor.com
This document discusses the ILAUGH model of social thinking and how its components impact the top 10 skills required for entering and succeeding in the workforce according to the World Economic Forum. It provides descriptions of each component of ILAUGH - Initiating, Listening, Abstracting, Understanding Perspective, Getting the Big Picture, and Humor - and discusses how difficulties with these social thinking skills could impact skills valued by employers such as cognitive flexibility, negotiation skills, service orientation, judgement and decision making, emotional intelligence, coordinating with others, people management, creativity, critical thinking, and complex problem solving.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
We Define AI as anything that makes machines act more intelligently
We like to think of AI as augmented intelligence
We believe that AI should not attempt to replace human experts, but rather extend human capabilities and accomplish tasks that neither humans nor machines could do on their own.
The internet has given us access to more information, faster.
Distributed computing and IoT have led to massive amounts of data.
Social networking has encouraged most of that data to be unstructured.
With Augmented Intelligence, we are putting information that subject matter experts need at their fingertips, and backing it with evidence so they can make informed decisions.
We want experts to scale their capabilities and let the machines do the time-consuming work.
How can artificial intelligence be used in e learning GlobalTechCouncil
Artificial Intelligence allows for machines to learn from past experience, adjust to present inputs and perform human-like tasks, with utmost perfection. Research estimates that the artificial intelligence market will grow to a $190 billion industry by 2025. And by 2021, uses of artificial intelligence in education industry will grow by 47.5%.
In our dynamic session at Diet Ernakulam, we explored the transformative possibilities of integrating Artificial Intelligence (AI) in educational settings. The talk aimed to empower primary school educators with insights and practical strategies to leverage AI for an enriched learning experience. This talk marks the beginning of an ongoing conversation. The journey of integrating AI in classrooms is an evolving one, and we look forward to continued collaboration, exploration, and innovation in the intersection of education and technology.
The Tragedy of Bias in Technical Hiring in Five Acts (Grace Hopper 2014)Kelsey Anderson Foley
Why do some companies succeed in hiring women engineers while others struggle with even attracting qualified female candidates? This talk will follow fictitious hiring manager Monty Gue from startup Roam.io and savvy engineer Julie Ette through the recruiting and interviewing process while exposing subtle biases in hiring practices that drive technical women elsewhere. Using recent behavioral psychology research on judgment and bias, it will provide insight for better approaches.
Role of Artificial Intelligence in Education.pptxRajatPawan
Artificial intelligence has the potential to significantly impact education. It can automate tasks like grading to save teachers time, and adapt educational software and materials to individual student needs through machine learning. AI also enables personalized tutoring and feedback to support students. However, developing human-level AI is very costly and current systems lack creativity and ability to make ethical decisions like humans. Overall, AI may change how and where students learn by taking over certain teaching roles and basic skill acquisition, while shifting teachers to facilitators, but humans will still need to ensure its safe development and implementation.
Artificial intelligence has the potential to significantly impact education. It can automate tasks like grading to save teachers time, and adapt educational software and materials to individual student needs through machine learning. AI also enables personalized tutoring and feedback to support students. While costs are currently high and AI lacks creativity, its 24/7 availability, reduction of human errors, and unbiased decision-making provide advantages to the education system. The role of humans will be to ensure the safe and responsible development of AI.
These Slides includes the basic understanding of cutting-edge technology Machine Learning and Artificial Intelligence, its misconceptions, a discrimination b/w machine and humans, and some of the major applications of AI.
Reaching and Teaching Employees in a 24x7 Connected World - mLearn Conference...BizLibrary
This document discusses the changing landscape of employee learning and development. It notes that traditional classroom-based and eLearning approaches are no longer sufficient due to factors like the volume of information, mobile access, and an always-on workplace. It advocates for a more social, collaborative, and mobile-first approach to content curation and delivery. Learning should focus on preparing employees for future skills and jobs that don't yet exist. The role of learning and development professionals is evolving from instructors to content curators and facilitators of informal, network-based learning.
Professor Chris Tisdell, UNSW: Teacherbot - toward AI in higher educationStudiosity.com
"Any teacher who could be replaced by a robot, should be." Professor Chris Tisdell engages the audience in a chat with a bot and explores how quickly higher education could or couldn't be replaced with artificial intelligence.
Watch the video of Chris' presentation at https://youtu.be/sFPhktaMMno [28mins]
This document discusses empowering people leaders for the future of work through artificial intelligence. It provides an overview of generative AI tools that can be used for various HR functions such as job description generation, candidate sourcing, and employee feedback analysis. The document also discusses considerations for people leaders looking to adopt AI, including assessing organizational readiness, building pilot programs, and communicating with employees. Key takeaways are that while AI holds potential, its use requires caution, oversight, and ensuring ethical, regulated and privacy-compliant practices.
AI - How Artificial Intelligence Will Impact Your BusinessPaul Barter
AI - How Artificial Intelligence Will Impact Your Business
DESCRIPTION:
AI (Artificial Intelligence) has the potential to radically transform employment, productivity and society. Business decision makers need to mitigate underlying risks and invest appropriately to drive future competitive advantage.
The document discusses trends in education related to artificial intelligence (AI). It states that the AI market in the US education sector is forecast to grow 47.77% annually through 2022. The main objectives of AI in education are to optimize routine processes, improve speed and efficiency, and tailor education to individual student needs. Potential roles of AI include personalizing learning, producing customized content, automating administrative tasks, providing tutoring, and ensuring access for students with special needs. Benefits include 24/7 access to learning, better student engagement, and less academic pressure. The document outlines steps to implement AI and concludes that AI will serve as an extension for teachers rather than replacing them.
Training: A Key Component of the Global Information Experiencedclsocialmedia
Corporate training happens everywhere in the enterprise. Whenever a new employee joins the company, a new product is released to the market, or a new internal initiative is launched, there’s a need for training. And just as with other types of content, learners demand an adaptive model -- learning tailored to meet individual needs, delivered in multiple formats, and be available on demand.
The future of work is changing. Forces of change are affecting the three major dimensions of work: the work itself, who does the work, and where work is done. Delivering projects, requires project managers working globally, across time zones, cultures and with technology. This is causing considerable anxiety—and with good reason. The future of project management, therefore, stands at an important juncture and requires the knowledge of Artificial Intelligence (AI), Emotional Intelligence (EQ) and Cultural Intelligence (CQ). Emotional intelligence skills such as influencing, persuading, social understanding and empathy will become differentiators as artificial intelligence and machine learning take over work. Emotional intelligence (EQ) , with its ability to understand how skilfully one manages personal emotions and harnesses the emotional drivers in others, will continue to be fundamentally important. But in the connected world where all global markets are accessible with the click of a mouse, another dimension will be critical - Cultural Intelligence (CQ). A balance of these three field and/or skills is a must have for all project managers and organisations that deliver value through project management. We need to learn how to work in this new environment and how we can excel. The aim of this presentation is to explain how, AI, EQ and CQ is set to transform project management, and show how project managers can develop these capabilities and be ready for the future.
Slides Chris Butler recently used in his discussion w/ mentees of The Product Mentor.
Synopsis: In this talk, Vikas will share his thoughts on what is Product Strategy and how Product Managers can develop it, He will also share some concepts in Strategy and how Product Managers can apply them to make their products more successful.
The Product Mentor is a program designed to pair Product Mentors and Mentees from around the World, across all industries, from start-up to enterprise, guided by the fundamental goals…Better Decisions. Better Products. Better Product People.
Throughout the program, each mentor leads a conversation in an area of their expertise that is live streamed and available to both mentee and the broader product community.
http://TheProductMentor.com
This document discusses the ILAUGH model of social thinking and how its components impact the top 10 skills required for entering and succeeding in the workforce according to the World Economic Forum. It provides descriptions of each component of ILAUGH - Initiating, Listening, Abstracting, Understanding Perspective, Getting the Big Picture, and Humor - and discusses how difficulties with these social thinking skills could impact skills valued by employers such as cognitive flexibility, negotiation skills, service orientation, judgement and decision making, emotional intelligence, coordinating with others, people management, creativity, critical thinking, and complex problem solving.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
3. WHATSUPPORTSTHISHYPOTHESIS
Advances in learning and
delivery technology
Societal trend for just in time
training
Sentiment Analysis
Introduction of workplace assisted
technologies
AI and ML can now process enormous amounts
of data with better than human error rates
Perception that many roles require human
subjective decision making which AI can’t do
AI can’t currently complete complex
tasks without human intervention
The innate human desire to learn
AI derived learning could suffer from malicious
interference
The effect on society if we stopped
learning
Low skilled, repetitive roles being replaced
by RPA
ML systems have low interoperability
Reduced costs to train staff
Polyani’s Paradox
Inequality
4. Psychomotor:
manual or
physical skills
(skills)
Affective: growth in
feelings or emotional
areas (attitude or self)
Cognitive:
mental skills
(knowledge)
• Create a new product
or point of viewCreative
• Justify a position or
decisionEvaluate
• Distinguish between
different partsAnalyse
• Use information in a
new wayApply
• Explain ideas or
conceptsUnderstand
• Recall or remember
informationRemember
HOWLEARNINGTHOERYISCHANGING
6. EFFECTONEDUCATORSANDLEARNERS
• Many traditional jobs replaced by automation
• New job roles created that will require new training
• Existing training requires new content e.g. ethics
• BUT - AI can create, schedule, deliver and assess training
• AI will deliver training at the point and time of need
• If the training isn't there, AI will create it for me
• I’ll only be taught what I need at that time
• No need for routine knowledge, so if I need to do a
task again, I’ll do the training again
7. “When we stop upgrading the brain with
new information, it becomes hardwired,
riddled with automatic programs of
behaviour that no longer support
evolution.”
TWOFUTURES
+
=
Option 1 Option 2
8. CONCLUSION
In the future, will Artificial Intelligence negate the NEED
to learn?
Partially – YES but...
• Accept that routine knowledge will decline as it’s on demand
• Automation will replace many jobs, but others will rise
• Education will need to fill the affective gap that AI will leave
• Mainstream education on ethics and unconscious bias
• AI is coming so embrace it!
Also,
• Restrict Autonomous Artificial Intelligence
• Nominate a Governing Body for AI
• Ensure AI is auditable with transparency of decision making
Into and hypothesis slide
3 concerns with AI
Not so worried about the rise of the robots although autonomous AI needs to be guarded against
Elon Musk warns us that artificial intelligence will be our “biggest existential threat.”
Malicious or unconscious bias decisions due to unethical or deliberately sabotaged programming. David Ha, a researcher working with Google Brain, said on Twitter in response to Musk’s comments that he was “more concerned about” machine learning being used to “mask unethical human activities,” than the threat of super-intelligent AI.
Euan Semple said: “Algorithms are not neutral”. He is, of course, right. Whether they are predicated on intentional biases and beliefs or merely find new ways of delivering up unintended consequences, we need to be wary of algorithms.
Microsoft AI Twitterbot in March 2016 they hoped it would communicate positively with, and learn from, 16 – 25 year olds on Twitter. Within 24 hours Tay had gone from innocently proclaiming “Hello world” to its followers to expressing the opinion that Jews were responsible for 9/11 and Hitler did nothing wrong!
Prof Hawking said he felt that machines with AI could "spell the end of the human race".
The effect on learning due to the increase in AI that is replacing the need for routine knowledge. Hence my hypothesis – and what I’d like to do is take you on a journey about how I came to consider this future.
Mr Gates wrote: "I am in the camp that is concerned about super intelligence. First the machines will do a lot of jobs for us and not be super intelligent. That should be positive if we manage it well.
First of all – learning tech is developing at a rapid rate. This shows what has happened in less than one working life, mine.
From video and whiteboards through to AV and VR.
Intelligent Learning
A recent report by Pearson deciphers how artificial intelligence will positively transform education in the coming years.
Intelligent tutoring systems such as Carnegie Learning or Third Space Learning are helping teachers break free from the “one size fits all” approach. These one-to-one tutoring platforms leverage Big Data and learning analytics to provide tutors with real-time feedback about their students’ performances, strengths and weaknesses.
We’re entering the age of AI and the subsets of it such as Machine Learning and Deep Learning.
Here I’m using the definitions that artificial intelligence; is he theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Machine Learning - Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed.. Google’s DeepMind team has used ML systems to improve the cooling efficiency at data centres by more than 15%, even after they were optimized by human experts. Intelligent agents are being used by the cybersecurity company Deep Instinct to detect malware, and by PayPal to prevent money laundering. A system using IBM technology automates the claims process at an insurance company in Singapore, and a system from Lumidatum, a data science platform firm, offers timely advice to improve customer support.
Deep learning, which uses neural networks. Deep learning algorithms have a significant advantage over earlier generations of ML algorithms: They can make better use of much larger data sets. More data leads to better and better predictions.
Also seeing the glimpses of quantum and neuromorphic computing.
Quantum computing. Whereas common digital computing requires that the data be encoded into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation uses quantum bits known as quibits.
Neuromorphic chips are being designed to specifically mimic the human brain – and they could soon replace CPUs . By packing in digital equivalents of neurons, neuromorphics communicate in parallel (and without the rigidity of clocked time) using “spikes” – bursts of electric current that can be sent whenever needed. Just like our own brains, the chip’s neurons communicate by processing incoming flows of electricity - each neuron able to determine from the incoming spike whether to send current out to the next neuron.
Learning is the process of absorbing that information in order to increase skills and abilities and make use of it under a variety of contexts.
Training is the giving of information and knowledge, through speech
From academic reviews ad reports, these are the forces acting for the reduced need for learning and some reason why it is challenged.
FOR AI TAKING OVER LEARING
Data processing vs low error rates - Although the systems are far from perfect, their error rate — about 5% — on the ImageNet database is at or better than human-level performance. Voice recognition, too, even in noisy environments, is now nearly equal to human performance.
Advances in learning tech like AR / AR and tools that can detect and change the learning based on your attention
Significant trend for JIT training e.g. YouTube
Automation and RPA – BlueMix and WinAuto with a report 1 x Robot replaces 5 x FTE - McKinsey research has shown that by using currently available technology we can already automate about 45 percent of the work activities done in the United States. research by Oxford University, 47 percent of all jobs in the United States and around 33 percent of those in Europe are at high risk of being replaced by technology within the next two decades. JPMorgan Chase introduced a system for reviewing commercial loan contracts; work that used to take loan officers 360,000 hours can now be done in a few seconds.
Workplace assisted techs e.g. AR/ Medical / Automated Warehouses like Amazon. As a group of Japanese insurance workers (Fukoko Mutual life) recently found out, the march of AI has business implications too. A group of 34 insurance claims workers will be replaced next month by a £1.4m AI system.
The software company Affectiva, among others, is using them to recognize emotions such as joy, surprise, and anger in focus groups.
Polyani’s Paradox - Polanyi’s Paradox not only limits what we can tell one another but has historically placed a fundamental restriction on our ability to endow machines with intelligence. For a long time that limited the activities that machines could productively perform in the economy. Machine learning is overcoming those limits.
AGAINST AI TAKE OVER
Human intervention to make the decisions that are supplemented with information from AI.
Still reliant on us programming and training
Human desire to learn linked to evolution theory
Wikipedia Effect
machine learning systems often have low “interpretability,” meaning that humans have difficulty figuring out how the systems reached their decisions. Deep neural networks may have hundreds of millions of connections, each of which contributes a small amount to the ultimate decision.
Detrimental effect on society
Lets look at the underpinning definitions of the types of learning
Blooms Taxonomy
For each one, there is already a form of cognitive or AI technology that can currently achieve these tasks. Therefore, it is safe to assume that they are only going to get better at it.
Watson – Morgan trailer creation
ROSS AI Attorney.
I2 Visual Analysis software
Watson Oncology. Enlitic is one of several deep-learning startups that use them to scan medical images to help diagnose cancer.
Tobi – Vodafone Chatbot
Google Assist
Three domains of learning
Cognitive – Replaced by YouTube, intelligent assistants like Siri and Alexa. Why remember or learn it when you can just ask and receive it.
Psychomotor – Work replaced by robotics drones, driverless vehicles, 3D printers. Aptonomy and Sanbot, makers respectively of drones and robots, are using improved vision systems to automate much of the work of security guards.
Affective – Real worry area. How will we develop as people and learn social skills and positive attitudes
The tech is already here.
Why learn how to fix a pipe when AR can show you how, even the haptic skills.
Medical diagnosis tools – currently used to inform GPs but not that far away from replacing them.
Why learn a language when you can speak your own and have it translated in real time.
What need do you have for remembering facts, routine knowledge etc. when there are assistants for almost everything from knowledge management, semantic searching, speech analytics, customer assistants and personal advisors.
So to summarise the effect on learners and educators,
RPA replacing roles
New roles could include trainers, explainers, sustainers, ethics compliance manager
New training such as deontological ethics, utilitarianism (sometimes called consequentialism), and virtue ethics
Deontology understands ethics to be about following the moral law.
Virtue Ethics - The basic question of virtue ethics is “who should I be?” virtue ethics is organized around developing habits and dispositions that help a person achieve his or her goals, and, by extension, to help them flourish as an individual
Utilitarianism is “what is the greatest possible good for the greatest number?”
Utilitarianism is the foundation for the game-theoretic notion of rationality as selecting actions that maximize expected utility, where utility is a representation of the individual agent’s preference over states of the world. As with defining “everyone” in consequentialism, defining “utility” is the crux of applying game-theoretic rationality, and is a source of many difficulties. Game theory is an analytical perspective of mathematics that is often used in AI to under- stand how individuals or groups of agents will interact.
We are already seeing technological advances where,
Learning is being developed using products like IBMs C3 and . Cram101, for example, uses AI to help disseminate and breakdown textbook content into digestible “smart” study guide that includes chapter summaries, true-false and multiple choice practice tests, and flashcards. Content Technologies, Inc., an artificial intelligence development company specializing in automation of business processes and intelligent instruction design, has created a suite of smart content services for secondary education and beyond.
There are Virtual tutors already being used in schools to schedule, deliver and assess. Coursera, a massive open online course provider, is already putting this into practice. When a large number of students are found to submit the wrong answer to a homework assignment, the system alerts the teacher and gives future students a customized message that offers hints to the correct answerAnd Carnegie Learning’s “Mika” software is another example.
Less demand for routine knowledge, - Bernhard Schindlholzer TedEx
Routine knowledge is on the decline due to Intelligent Assistants and JIT training like YouTube. Why learn how to fix your car when you can go onto YouTube and find out exactly how to do it.
Imagine how much more quickly we could be trained if we only covered the elements we actually need at that time. Or the massive ROI if you could train your employees at a moments notice. No more having to study for years to achieve the same knowledge that could be broken down and trained in a much shorter period of time, using adaptive learning techniques.
Two paths forward
The first would be for society to rely too heavily on AI as a replacement for learning.
Long term analytical studies and research projects could be run by AI using the existing global data sources. As there are more sensors and networks developed everyday across the world, the rate of data capture is increasing exponentially which will mean more patterns will become findable.
No routine knowledge means no need to learn facts or equations, languages or decision making as chatbots, intelligent assistants and analytics can do it for us.
And as we know through medical research, if you stop learning, your brain becomes hardwired and even worse, it can become riddled with automatic programmes of behaviour that no longer support evolution.
In turn, it will become more Difficult to Learn New Things
Society could become Less Motivated, less sociable and less happy which would breed insecurity and paranoia.
Fortunately there is a second and much more attractive proposal.
As Ginnin Rommety has said, “some people call this artificial intelligence…I think we’ll augment our intelligence.”
That we embrace AI and consider it not as a replacement for learning, but as an aid.
Imagine the power of the human mind, closely linked to the processing power and error rates of AI technology.
It is for this reason that people have dubbed AI as the fourth revolution and it is met with some resistance. It is change on a wild scale, disrupting everything we have known, and through media and Hollywood films, many only see the images of Terminator and Ex Machina. But in reality, although we don’t truly know the power and extent of which AI will transform our lives, I can only feel in awe and excited by the next 20 years.
So returning to my hypothesis, I believe that it is partially right.
I believe that many forms of learning could be replaced by AI technologies, but there will be an increase in other types of learning within the affective domain.
Also we will start to investigate more into retention and recall, as these may become the replacement for IQ.
In Davos, this year, at the World Economic Forum, the Alibaba founder and Executive Chairman Jack Ma said "We cannot teach our kids to compete with the machines who are smarter - we have to teach our kids something unique. Believes we should be teaching our kids about, values, believing, independent thinking, teamwork, care for others
The top ten skills, abilities and knowledge areas associated with rising occupations confirm the overall importance of social and emotional learning, critical thinking and learning to learn.
And this is exactly what we should do, but with a little safety net as well!
The report by the UK government last year Growing the artificial intelligence industry in the UK . AI and its applications shouldn't be subject to direct regulation, but an AI council should oversee the industry.
In January a report from the Alan Turing Institute called for an AI watchdog to be setup to audit and scrutinise algorithms. "They could go in and see whether the system is actually transparent and fair," the authors of the Turing Institute said.