This document provides an overview of artificial intelligence standards. It begins with a brief history of AI and discusses some of the major issues with AI, including bias, lack of oversight, and safety concerns. It then examines the need for AI standards in areas like interoperability, security, privacy, and ethics. The document reviews related standardization activities from organizations like IEEE, ISO, IEC, and ITU. It analyzes the results of a JTC 1 survey that identified interoperability, domains, and security as top priority areas for AI standards. Finally, it recommends that JTC 1 urgently develop standards for AI to help guide its development and application in a safe, fair, and beneficial manner.
Artificial Intelligence (AI) and Job LossIkhlaq Sidhu
The arguments of job displacement, economic growth, and policy arguments related to artificial intelligence, data, algorithms, and automated technologies.
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
AI and the Future of Work [TUG-CO, 11/15/23]Matt Small
This talk was given to the Tech User Group, Central Oregon on November 15th, 2023.
~~
AI revolutionizes the way we interact with information. It will change the way we work. In this talk, we will introduce the fundamental concepts and the latest research and policies in the field. We will then explore numerous opportunities and societal challenges related to technology adoption, work augmentation and identity. Finally, we will introduce Personal AI and the mission of Kwaai Lab.
Kwaai Lab, a non-profit, volunteer-based open-source AI lab, is composed of researchers, architects, developers, and philosophers. Our goal is to design and implement the tools, fundamentals, and policies that empower us all to own our own Personal AI assistants.
Emerging technologies such as Artificial Intelligence, IIoT and Blockchain are threatening to take away millions of conventional jobs over the next three decades. They have the potential to create even more jobs for he future. But the structural changes in job markets would be painful and would vary from country to country. This presentation suggests a macro model for India to be ready to face the challenges.
An introduction to AI (artificial intelligence)Bellaj Badr
An introduction to AI (artificial intelligence)
The ppt link is available bellow https://docs.google.com/presentation/d/1-oaO75DEdP259HNrrvh5fbZVOtaiiiffi3luyv0tShw/edit?usp=sharing
you could leave your comments on google slides
Artificial Intelligence (AI) and Job LossIkhlaq Sidhu
The arguments of job displacement, economic growth, and policy arguments related to artificial intelligence, data, algorithms, and automated technologies.
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
AI and the Future of Work [TUG-CO, 11/15/23]Matt Small
This talk was given to the Tech User Group, Central Oregon on November 15th, 2023.
~~
AI revolutionizes the way we interact with information. It will change the way we work. In this talk, we will introduce the fundamental concepts and the latest research and policies in the field. We will then explore numerous opportunities and societal challenges related to technology adoption, work augmentation and identity. Finally, we will introduce Personal AI and the mission of Kwaai Lab.
Kwaai Lab, a non-profit, volunteer-based open-source AI lab, is composed of researchers, architects, developers, and philosophers. Our goal is to design and implement the tools, fundamentals, and policies that empower us all to own our own Personal AI assistants.
Emerging technologies such as Artificial Intelligence, IIoT and Blockchain are threatening to take away millions of conventional jobs over the next three decades. They have the potential to create even more jobs for he future. But the structural changes in job markets would be painful and would vary from country to country. This presentation suggests a macro model for India to be ready to face the challenges.
An introduction to AI (artificial intelligence)Bellaj Badr
An introduction to AI (artificial intelligence)
The ppt link is available bellow https://docs.google.com/presentation/d/1-oaO75DEdP259HNrrvh5fbZVOtaiiiffi3luyv0tShw/edit?usp=sharing
you could leave your comments on google slides
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
9 Examples of Artificial Intelligence in Use TodayIQVIS
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Artificial intelligence (ai) will radically transform the way we do business in the future, and the way we live. That’s a strong statement, but i believe it’s true. Ai has many faces. As we are increasingly exposed to it, it’s important to understand what it can and can’t do and how companies can pivot wisely to this still evolving reality without overlooking the ethical, human and regulatory questions it raises.
A presentation on Artificial Intelligence which covers definition, introduction , advantages/disadvantages, AI Tree and application of artificial intelligence
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
AI Governance and Ethics - Industry StandardsAnsgar Koene
Presentation on the potential for Ethics based Industry Standards to function as vehicle to address socio-technical challenges from AI.
Presentation given at the the 1st Austrian IFIP forum ono "AI and future society".
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
9 Examples of Artificial Intelligence in Use TodayIQVIS
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Artificial intelligence (ai) will radically transform the way we do business in the future, and the way we live. That’s a strong statement, but i believe it’s true. Ai has many faces. As we are increasingly exposed to it, it’s important to understand what it can and can’t do and how companies can pivot wisely to this still evolving reality without overlooking the ethical, human and regulatory questions it raises.
A presentation on Artificial Intelligence which covers definition, introduction , advantages/disadvantages, AI Tree and application of artificial intelligence
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
AI Governance and Ethics - Industry StandardsAnsgar Koene
Presentation on the potential for Ethics based Industry Standards to function as vehicle to address socio-technical challenges from AI.
Presentation given at the the 1st Austrian IFIP forum ono "AI and future society".
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Beyond Science Fiction, one marketer and a data scientist collaborated to demystify how Artificial Intelligence is improving the way we live, shop, travel and even date! Vote for this talk to see the full presentation at SXSWi 2016 in Austin!
The Astonishing Resurrection of AI (A Primer on Artificial Intelligence)Matt Turck
Supporting slides for a presentation at the Yale Entrepreneurship Breakfast on March 27, 2015. A primer on how artificial intelligence (AI) rose from of the ashes to become a fascinating category for startup founders and venture capitalists. Mentions our portfolio company x.ai as an example.
"Code Generation in Perl" presented to Silicon Valley Perl in Santa Clara CA by Ian Kluft on September 7, 2017. The presentation surveys the landscape of code generation tools and techniques including preprocessers, compliers and model languages, as well as CPAN modules to help with those tasks. Code generation has always been useful for automation of tedious tasks. There is also some debunking of myths from science fiction about what is currently possible with code generation. No matter how much processing is involved, at some level someone still has to write the programs.
Social Machines: The coming collision of Artificial Intelligence, Social Netw...James Hendler
Will your next doctor be a human being—or a machine? Will you have a choice? If you do, what should you know before making it?This book introduces the reader to the pitfalls and promises of artificial intelligence (AI) in its modern incarnation and the growing trend of systems to "reach off the Web" into the real world. The convergence of AI, social networking, and modern computing is creating an historic inflection point in the partnership between human beings and machines with potentially profound impacts on the future not only of computing but of our world and species.AI experts and researchers James Hendler—co-originator of the Semantic Web (Web 3.0)—and Alice Mulvehill—developer of AI-based operational systems for DARPA, the Air Force, and NASA—explore the social implications of AI systems in the context of a close examination of the technologies that make them possible. The authors critically evaluate the utopian claims and dystopian counterclaims of AI prognosticators. Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity is your richly illustrated field guide to the future of your machine-mediated relationships with other human beings and with increasingly intelligent machines.
AI in the Enterprise: Past, Present & Future - StampedeCon AI Summit 2017StampedeCon
Artificial Intelligence has entered a renaissance thanks to rapid progress in domains as diverse as self-driving cars, intelligent assistants, and game play. Underlying this progress is Deep Learning – driven by significant improvements in Graphic Processing Units and computational models inspired by the human brain that excel at capturing structures hidden in massive complex datasets. These techniques have been pioneered at research universities and digital giants but mainstream enterprises are starting to apply them as open source tools and improved hardware become available. Learn how AI is impacting analytics today and in the future.
Learn how AI is affecting the enterprise including applications like fraud detection, mobile personalization, predicting failures for IoT and text analysis to improve call center interactions. We look at how practical examples of assessing the opportunity for AI, phased adoption, and lessons going from research, to prototype, to scaled production deployment.
Building an AI Startup: Realities & TacticsMatt Turck
AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Topics include:
Successful data acquisition strategies
Data network effects
Competing with the giants
A pragmatic approach to building an AI team
Why social engineering is just as important to success as groundbreaking AI technology
TEDx Manchester: AI & The Future of WorkVolker Hirsch
TEDx Manchester talk on artificial intelligence (AI) and how the ascent of AI and robotics impacts our future work environments.
The video of the talk is now also available here: https://youtu.be/dRw4d2Si8LA
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
Impact of Generative AI in Cybersecurity - How can ISO/IEC 27032 help?PECB
Generative AI offers great opportunities for innovation in various industries. Hence, by adopting ISO/IEC 27032, you can enhance your cybersecurity resilience and efficiently address the risks associated with generative AI.
Amongst others, the webinar covers:
• AI & Privacy
• Generative AI, Models & Cybersecurity
• AI & ISO/IEC 27032
Presenters:
Christian Grafenauer
Anonymization expert, privacy engineer, data protection officer, LegalTech researcher (GDPR, Blockchain, AI) Christian Grafenauer is an accomplished privacy engineer, anonymization expert, and computer science specialist, currently serving as the project lead for anonymity assessments at techgdpr. With an extensive background as a senior architect in Blockchain for IBM and years of research in the field since 2013, Christian co-founded privacy by Blockchain design to explore the potential of Blockchain technology in revolutionizing privacy and internet infrastructure. As a dedicated advocate for integrating legal and computer science disciplines, Christian’s expertise in anonymization and GDPR compliance enables innovative AI applications, ensuring a seamless fusion of technology and governance, particularly in the realm of smart contracts. In his role at techgdpr, he supports technical compliance, Blockchain, and AI initiatives, along with anonymity assessments. Christian also represents consumer interests as a member of the national Blockchain and DTL standardization committee at din (German standardization institute) in ISO/TC 307.
Akin Johnson
Akin J. Johnson is a renowned Cybersecurity Expert, known for his expertise in protecting digital systems from potential threats. With over a decade of experience in the field, Akin has developed a deep understanding of the ever-evolving cyber landscape.
Akin is an advocate for cybersecurity awareness and frequently shares his knowledge through speaking engagements, workshops, and publications. He firmly believes in the importance of educating individuals and organizations on the best practices for safeguarding their digital assets.
Lucas Falivene
Lucas is a highly experienced cybersecurity professional with a solid base in business, information systems, information security, and cybersecurity policy-making. A former Fulbright scholar with a Master of Science degree in Information Security Policy and Management at Carnegie Mellon University (Highest distinction) and a Master's degree in Information Security at the University of Buenos Aires (Class rank 1st). Lucas has participated in several trainings conducted by the FBI, INTERPOL, OAS, and SEI/CERT as well as in the development of 4 cyber ISO national standards.
Date: July 26, 2023
YouTube Link: https://youtu.be/QPDcROniUcc
Managing ISO 31000 Framework in AI Systems - The EU ACT and other regulationsPECB
The management of AI systems is a shared responsibility. By implementing the ISO 31000 Framework and complying with emerging regulations like the EU ACT, we can jointly create a more reliable, secure, and trustworthy AI ecosystem.
Amongst others, the webinar covers:
• Understanding AI and the regulatory landscape
• AI and the threat landscape
• A risk driven approach to AI assurance - based on ISO 31000 principles
• Stress testing to evaluate risk exposure
Presenters:
Chris Jefferson
Chris is the Co-Founder and CTO at Advai. As the Co-Founder of Advai, Chris is working on the application of defensive techniques to help protect AI and Machine Learning applications from being exploited. This involves work in DevOps and MLOps to create robust and consistent products that support multiple platforms, such as cloud, local, and edge.
Nick Frost
Nick Frost is Co-founder and Lead Consultant at CRMG. Nick’s career in cyber security spanning nearly 20 years. Most recently Nick has held leadership roles at PwC as Group Head of Information Risk and at the Information Security Forum (ISF) as Principal Consultant. In particular Nick was Group Head of Information Risk for PwC designing and implementing best practice solutions that made good business sense that prioritized key risks to the organisation and helped minimize disruption to ongoing operations. Whilst at the ISF Nick led their information risk projects and delivered many of the consultancy engagements to help organisations implement leading thinking in information risk management.
Nicks combined experience as a cyber risk researcher and practitioner designing and implementing risk based solutions places him as a leading cyber risk expert. Prior to cyber security and after graduating from UCNW and Oxford Brookes Nick was a geophysicist in the Oil and Gas Industry.
Date: August 24, 2023
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: https://pecb.com/en/education-and-certification-for-individuals/iso-31000
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
Whitepaper: https://pecb.com/whitepaper
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
YouTube video: https://youtu.be/MXnHC6AvjXc
Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...Kalilur Rahman
AI is the new ELECTRICITY - said Andrew Ng. There are two sides of the coin. There are a lot of nay-sayers for AI. At the end of the day, it will be Augmented Intelligence, Adaptive Intelligence, Automated Intelligence that will propel human intelligence forward - more than anything else. It will be a great time ahead. Whether it would be an "Eye(AI) Wash" as skeptics say or an "I wish" from them for starting late on the journey, only time will tell. It is a matter of when and how long, instead of an If. #ArtificialIntelligence #IntelligentTesting #QCoE #NextGenTesting #QualityFocusedDelivery #DigitalInnovation #ITIndustry #NewAgeIT #InnovativeTesting#AIFication #Automation #DigitalEconomy #Singularity #Transcendence #Futurism
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
Learning Objective: Discover the upcoming trends of information technology
This seminar looks at technology trends that should be on your radar. As a technology professional, staying on top of trends is crucial. Join us as our expert panelists discuss the upcoming trends and game-changing technologies of the future.
At the end of this seminar, participants will:
a. Learn how to identify the areas where technology changes are likely.
b. Identify resources to use to keep abreast of technology changes in their industry.
c. Learn how to analyze trends for opportunities to grow their careers.
AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...Dr. Haxel Consult
The presentation first addresses 6 key questions: Where do we stand with the diversification of AI? Machines are getting better at understanding - where are we with writing? Has AI Research hit a wall in 2020? What's the progress made in AI ethics? Could synthetically created data make AI cheaper? And: Are deep fake deployments of AI becoming more insidious? The presentation then moves on to discuss the 4th generation of AI: Artificial Intuition. It discusses the lines of effort in AI of the US Government and concludes with three actualities on AI-based decision making, COVID-loneliness detection and extrapolation of AI into the long run.
Kai-Fu Lee at AI Frontiers : The Era of Artificial IntelligenceAI Frontiers
In this talk, I will talk about the four waves of Artificial Intelligence (AI) , and how AI will permeate every part of our lives in the next decade. I will also talk about how this will be different from previous technology revolutions -- it will be faster and be driven by not one superpower, but two (US and China). AI will add $16 trillion to our global GDP, but also cause many challenges that will be hard to solve. I will talk in particular about AI replacing routine jobs -- the consequences, the proposed solutions that don't work (such as UBI), and end with a blueprint of co-existence between humans and AI.
Artificial Intelligence Bill of Rights: Impacts on AI GovernanceTrustArc
Artificial Intelligence (AI) is increasingly being used to make decisions that impact individuals and society as a whole. As the use of AI continues to grow, there is a need to establish guidelines and regulations to ensure that it is being used responsibly and ethically.
In October 2022, the White House Office of Science and Technology Policy (OSTP) published a Blueprint for an AI Bill of Rights (“Blueprint”), which shared a nonbinding roadmap for the responsible use of artificial intelligence (AI). In this webinar, we will examine the key principles that underpin the bill, such as transparency, accountability, and fairness, and discuss how they can help ensure that the use of AI aligns with the values and rights of individuals.
Contents
I. AI, Blockchain, IoT, and Their Convergence Technology Innovation Status
II. AI, Blockchain, IoT Convergence Use Case System Implementation Examples
1. Blockchain-based Privacy-Preserving Federated Learning System
2. Blockchain-based Decentralized IoT & AI Data Marketplace
3. Blockchain-based Trustworthy AI & IoT Systems
4. Blockchain-based Decentralized Parallel Edge Machine Learning
5. Predictive Maintenance Platform for Industrial Machine using Industrial IoT
6. AI+Blockchain System for Car Sharing Service
7. Connected Autonomous Vehicle Communication Management System
8. 5G-based AI+Blockchain+IoT Edge Computing System
Recent advances in Web technologies across the IT environment, gets a big paradigm shift, and Web 2.0 has started changing with the advent of the Web service beyond just information technology as a platform of expression has led to the evolution. In particular, the HTML5 known as the next generation of mark-up languages, led to revolutionary changes of the environment and the new media era is expected to be the future core platform. This lecture will introduce the implications of Web technologies, history of HTML5 and its main features and the role of HTM5 as Smart Media.
- Introduction to Cloud Computing
- Issue analysis on Cloud Computing
- Related stanardization activities
- Standardization issue from ISO/IEC JTC 1 Perspectives
- Recommendation to JTC 1 for standardization
- (epilouge) Thoughts of TV
- IPTV meets the Web
- Diagnosis of current IPTV
- Some Issues on IPTV service
- Victory Strategy for successful IPTV
- Conclusion
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
9. AI
16
History of AI
Source> Wikipedia & IBM’s developerWorks, June 2017
Golden Age (1965~1974) Dark Age (74-80)
Boom up (80-87) Dark Age (87-93) Challenging (94-10)
New Golden
Age?
AI WinterExpert System
Neural Network ?
Stop Investment
The 4th
Industrial
Revolution
Watson,
AlphaGo
Searching to Learning
16. AI
23
What's the Difference between Robotics and Artificial Intelligence?
source> https://blog.robotiq.com/whats-the-difference-between-robotics-and-artificial-intelligence
19. AI
26
Ball, a cognitive scientist, began exploring the gap between how our brains
interpret information and how computers work in 1983.
Recommend to read:
20. AI
27
Need to be considered seriously
Major Issues on Artificial Intelligence
21. AI
28
Spectators watch a broadcast of the final, decisive game in the rematch
between Garry Kasparov and the IBM computer Deep Blue. (1977)
24. AI
31
“Artificial intelligence would be the ultimate version of Google…It would
understand exactly what you wanted, and it would give you the right thing.”
Larry Page
31. AI
some of the biggest examples
38
Top 10 AI failures of 2016
source> https://www.techrepublic.com/article/top-10-ai-failures-of-2016/
1. AI built to predict future crime was racist
2. Non-player characters in a video game crafted weapons beyond creator's plans
3. Robot injured a child
4. Fatality in Tesla Autopilot mode
5. Microsoft's chatbot Tay utters racist, sexist, homophobic slurs
6. AI-judged beauty contest is racist
7. Pokémon Go keeps game-players in white neighborhoods
8. Google's AI, AlphaGo, loses game 4 of Go to Lee Sedol
9. Chinese facial recognition study predicts convicts but shows bias
10.Insurance company uses Facebook data to issue rates, shows bias
*Racist = 人種差別主義者
32. AI
39
Microsoft forced to apologize after epic chatbot fail
March 2016, https://blogs.microsoft.com/blog/2016/03/25/learning-tays-introduction/
…
Although we had prepared for many
types of abuses of the system, we
had made a critical oversight for
this specific attack.
As a result, Tay tweeted wildly
inappropriate and reprehensible
words and images.
…
33. AI
40
As evidenced by these examples, AI systems are deeply prone to bias—and
it is critical that machine learning algorithms train on diverse sets of data in
order to prevent it. As AI increases its capabilities, ensuring proper checks,
diverse data, and ethical standards for research is of utmost importance.
これらの例からもわかるように、AIシステムはバイアスが深くなりがちです。
機械学習アルゴリズムは、データを保護するためにさまざまなデータセット
を学習することが重要です。 AIの能力が向上するにつれて、適切なチェック、
多様なデータ、研究の倫理基準を保証することが最も重要です。
Top 10 AI failures of 2016
some of the biggest examples
source> https://www.techrepublic.com/article/top-10-ai-failures-of-2016/
40. AIAI in ISO/IEC JTC 1
JTC 1 has a 20 years history with working on standards in AI
technology area.
• ISO/IEC 2382-28:1995 Information technology – Vocabulary – Part
28: Artificial intelligence – Basic concepts and expert systems
• ISO/IEC 2382-31: Artificial intelligence – Machine learning
• ISO/IEC 2382-34: Artificial intelligence – Neural networks
All those specifications have been consolidated and it have been
revised
• ISO/IEC 2382:2015: Information technology -- Vocabulary
47
41. AIDefinitions
Artificial intelligence (AI) is intelligence exhibited by machines. In
computer science, the field of AI research defines itself as the study of
"intelligent agents”
Artificial intelligence is technology that appears to emulate human
performance typically by learning, coming to its own conclusions,
appearing to understand complex content, engaging in natural dialogs
with people.
The capability of a functional unit to perform functions that are generally
associated with human intelligence such as reasoning and learning. (ISO/
IEC 2382-28:1995)
48
Needs to be re-defined again ?
44. AIWhy Standardization?
While AI has been around for many years with active research and development
over the last 10 years, we have seen an increase in the number of products and
services implementing AI effectively, which has led to an increase of interest by
new and/or existing organizations to look into standardization of AI.
Countries and regulators have begun taking an interest in many aspects of AI
with an increase in the application of AI into a wider set of domains and the
possibility of new regulation.
There is a need for standards to facilitate communication about Artificial
Intelligence, to enable acceptance of approaches and concepts that support
future development and to address the interests and concerns of
governments and society.
51
45. AIWhy Standardization?
Standards provide requirements, specifications, guidelines, or
characteristics that can be used consistently to ensure that AI technologies
meet critical objectives for functionality and interoperability, and that they
perform reliably and safely.
The development of standards must be hastened to keep pace with the rapidly
evolving capabilities and expanding domains of AI applications.
Furthermore, how timely development of global standards will be important
to facilitate wider global adoption of AI technologies and in order to truly tap
into AI’s potential.
Adoption of standards brings credibility to technology advancements and
facilitates an expanded interoperable marketplace.
52
51. AIRelated Activities – IEEE
• The IEEE Standards Association (IEEE-SA) launched the IEEE
Global Initiative for Ethical Considerations in Artificial
Intelligence and Autonomous Systems (AI/AS). (April 2016)
★ Two primary deliverables - Ethically Aligned Design (EAD),
Versions 1 & 2
• The IEEE also launched the IEEE Symbiotic Autonomous
Systems (SAS) Initiative aims to following goals (July 2017):
1. Take the lead in developing the new field of Symbiotic Systems
Science
2. Foster interdisciplinary technology deployments that take into
account Ethical, Legal, and Societal considerations
3. Promote human-centric economic growth
58
52. AIRelated Activities – ITU
• ITU believes that the Artificial Intelligence (AI) innovation will be central to the
achievement of the United Nations' Sustainable Development Goals (SDGs) and will
help in solving humanity's grand challenges.
• As part of emerging ICT trends programme, ITU made its organize briefings on the
topic of “Artificial Intelligence (AI) for Good”:
• ITU Briefing on "Artificial Intelligence (AI)
for Good",
59
• ITU has started the development of AI standards
since 2016
① ITU-T Y.AI4SC, Artificial Intelligence and IoT
② ITU-T Y.qos-ml, Requirements of machine
learning based QoS assurance for IMT-2020
53. AIRelated Activities – ISO & IEC
• ISO and IEC have published the standards for vocabulary on Artificial Intelligence (ISO/
IEC 2382:2015, formerly ISO/IEC 2382:1995) which will be basis of AI standards.
• Recent Activities
★ New initiatives in JTC 1/SC 7 (SG Autonomous Systems and Ambient Intelligence
Environment Engineering), SC 34 and SC 36 (under the AI investigation), SC 40
(Governance of AI/AS), and WG 9 (Data analytics).
★ IEC Market Strategy Board (MSB) started to develop a new white paper "Application
of Artificial Intelligence (AI) across Vertical Industries”
★ In JTC 1, NWIP ballot on “AI Concepts and Terminology” (NP 22989) (July 2017)
★ USNB has proposed JTC 1 the establishment of a Systems Integration entity in the
form of a new Subcommittee on the Artificial Intelligence.
60
55. AISurvey Results
ISO/IEC JTC 1 JAG conducted online survey on AI and AS to JTC 1 entities (for JTC
1/SC Chairs and JTC 1/WG Conveners) during 29 July ~ 31 August 2017.
Online Survey: https://www.surveymonkey.com/r/7GD52SP
The purpose of survey is follows:
1. Identify the related activities on AI and AS (include ongoing projects)
2. Identify priority area on AI and AS standards
3. Identify the future work items on AI and AS
4. Other considerations
62
56. AISurvey Results
As a result of survey, there were 13 responds in total (response rate is 59%) from
following JTC 1 entities:
SC 7 Software and systems engineering
SC 17 Cards and personal identification
SC 22 Programming languages, their environments and system software interfaces
SC 24 Computer graphics, image processing and environmental data representation
SC 25 Interconnection of information technology equipment
SC 27 IT Security techniques
SC 28 Office Equipment
SC 29 Coding of audio, picture, multimedia and hypermedia information
SC 36 Information technology for learning, education and training
SC 37 Biometrics
SC 40 IT Service Management and IT Governance
SC 41 Internet of Things and related technologies
WG 9 Big Data
63
61. AIRelated Activities – Others
National Strategy on AI:
[China] China to launch national AI strategy
[France] France already has one of the strongest AI
[Japan] Japan’s Role in Establishing Standards for Artificial Intelligence Development
[UK] £17 million boost for the UK's booming artificial intelligence sector
[US] The National Artificial Intelligence Research and Development Strategy
Industry Collaboration: Partnership on AI, MILA, etc.
Open Source on AI:
[TensorFlow] https://www.tensorflow.org/
[CaffeOnSpark] https://github.com/yahoo/CaffeOnSpark
[Cortana] https://www.microsoft.com/en-us/windows/cortana
[OpenAI] Open Source AI API: http://openai.sourceforge.net/docs.html
[H2O.ai] bringing AI to enterprises: https://www.h2o.ai/gartner-magic-quadrant/
68
62. AI
69
The Japanese Society for Artificial Intelligence Ethical Guidelines
http://ai-elsi.org/wp-content/uploads/2017/05/JSAI-Ethical-Guidelines-1.pdf
67. AIRecommendations to JTC 1
According to the investigation work on AI and AS,
it is strongly recommended that
“JTC 1 would urgently start the activity on the
development of its standardization”.
74
68. AI Standards
ISO/IEC JTC 1 established a new Subcommittee,
SC 42 for the development of Artificial Intelligence
(2017 JTC 1 Plenary in Vladivostok, Russia)
75
• Chair: USA (Vice-chair: China)
• Secretariat - USA