The document describes an AI-driven Occupational Skills Generator (AIOSG) that aims to automate the process of creating occupational skills reference documents. The AIOSG utilizes an intelligent web crawler, natural language processing, neural networks, and a blockchain to gather data on occupational skills from various sources, analyze the data, and generate standardized skills reference documents. It is intended to reduce the time and resources required to manually produce these documents while ensuring more comprehensive and up-to-date skills information. The AIOSG system architecture and its use of analytics, artificial intelligence, and blockchain technologies are explained in detail.
Steve Mills, Executive Vice President of IBM Software and Systems, discusses how cognitive computing will change the way people live and work. Cognitive systems can learn from large amounts of unstructured data using technologies like natural language processing and machine learning. While some experts have concerns that advanced artificial intelligence could pose risks, cognitive systems currently aim to enhance human expertise by simulating more natural interactions. IBM is developing numerous cognitive APIs and applications in various domains like healthcare, recipe pairing for chefs, and customer service. The cognitive systems are built on the IBM Watson platform on Bluemix and draw from core technologies to power services across industries. Both US and EU governments are investing in cognitive computing research to advance fields like neuroscience, artificial intelligence, and human-
Law, Ethics and Tech Aspects for an Irrevocable BlockChain Based Curriculum V...eraser Juan José Calderón
Law, Ethics and Tech Aspects for an Irrevocable
BlockChain Based Curriculum Vitae Created by Big
Data Analytics Fed by Internet of Things, Sensors and
Approved Data Sources. Vasilios Kanavas, Athanasios Zisopoulos & Konstantinos Spinthiropoulos
What AI is and examples of how it is used in legalBen Gardner
This presentation was given at Legal Geek on 10th Dec 2015. It is a scenesetting peice that looks to de-mystify artificial intelligence by looking beyond the hype.
The document discusses emerging technologies including mobile, IoT, and artificial intelligence. It notes that mobile devices are ubiquitous and will continue growing, with 80% of adults owning a smartphone by 2020. The Internet of Things is also expanding as devices become more integrated and contextual computing enables new experiences. Artificial intelligence is increasingly present in applications assisting users and will continue developing to become more natural and integrated while augmenting rather than replacing humans. The future remains unwritten and will be shaped by how technologies are applied to improve people's lives.
AI and the Professions: Past, Present and FutureWarren E. Agin
A presentation to the National Conference of Lawyers and CPA’s - December 11, 2017. Describes the history of AI, explains why the legal and accounting professions are at a turning point, and predicts changes in the professions from AI adoption.
Analytic Law, LLC helps law firms and departments discover how to solve legal problems using analytic techniques, including data analytics, prediction systems, machine learning, game theory and behavioral economics.
The document describes an AI-driven Occupational Skills Generator (AIOSG) that aims to automate the process of creating occupational skills reference documents. The AIOSG utilizes an intelligent web crawler, natural language processing, neural networks, and a blockchain to gather data on occupational skills from various sources, analyze the data, and generate standardized skills reference documents. It is intended to reduce the time and resources required to manually produce these documents while ensuring more comprehensive and up-to-date skills information. The AIOSG system architecture and its use of analytics, artificial intelligence, and blockchain technologies are explained in detail.
Steve Mills, Executive Vice President of IBM Software and Systems, discusses how cognitive computing will change the way people live and work. Cognitive systems can learn from large amounts of unstructured data using technologies like natural language processing and machine learning. While some experts have concerns that advanced artificial intelligence could pose risks, cognitive systems currently aim to enhance human expertise by simulating more natural interactions. IBM is developing numerous cognitive APIs and applications in various domains like healthcare, recipe pairing for chefs, and customer service. The cognitive systems are built on the IBM Watson platform on Bluemix and draw from core technologies to power services across industries. Both US and EU governments are investing in cognitive computing research to advance fields like neuroscience, artificial intelligence, and human-
Law, Ethics and Tech Aspects for an Irrevocable BlockChain Based Curriculum V...eraser Juan José Calderón
Law, Ethics and Tech Aspects for an Irrevocable
BlockChain Based Curriculum Vitae Created by Big
Data Analytics Fed by Internet of Things, Sensors and
Approved Data Sources. Vasilios Kanavas, Athanasios Zisopoulos & Konstantinos Spinthiropoulos
What AI is and examples of how it is used in legalBen Gardner
This presentation was given at Legal Geek on 10th Dec 2015. It is a scenesetting peice that looks to de-mystify artificial intelligence by looking beyond the hype.
The document discusses emerging technologies including mobile, IoT, and artificial intelligence. It notes that mobile devices are ubiquitous and will continue growing, with 80% of adults owning a smartphone by 2020. The Internet of Things is also expanding as devices become more integrated and contextual computing enables new experiences. Artificial intelligence is increasingly present in applications assisting users and will continue developing to become more natural and integrated while augmenting rather than replacing humans. The future remains unwritten and will be shaped by how technologies are applied to improve people's lives.
AI and the Professions: Past, Present and FutureWarren E. Agin
A presentation to the National Conference of Lawyers and CPA’s - December 11, 2017. Describes the history of AI, explains why the legal and accounting professions are at a turning point, and predicts changes in the professions from AI adoption.
Analytic Law, LLC helps law firms and departments discover how to solve legal problems using analytic techniques, including data analytics, prediction systems, machine learning, game theory and behavioral economics.
[Srijan Wednesday Webinars] Artificial Intelligence & the Future of BusinessSrijan Technologies
“AI is the new electricity” – Andrew Ng, former Chief Data Scientist, Baidu
Artificial Intelligence is the new frontier for human evolution. It will upend industries, cause fundamental shifts in processes and jobs, and create unprecedented innovation.The question one wishes to answer is: how and why it impacts industry, and how can it be leveraged by businesses.
This session will introduce AI and machine learning: the process of creating AI, and go on to discuss the key applications of these emerging technologies. We will also dive into a preliminary review of ML algorithms and how they work.
Key Takeaways:
- Define AI and ML, and the philosophy behind these new technologies
- The impact of AI on jobs, communities, business, and industry
- The use cases of AI in different industries like hi-tech, manufacturing, healthcare, publishing and media, education, transportation etc.
-Introduction to machine learning algorithms like classification, regression, neural networks etc.
Check our webinars series and sign up for future webinar notifications at: www.srijan.net/webinar/past-webinars
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...Paul Gilbreath
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
The document provides an introduction to artificial intelligence (AI), including its history and limitations. It discusses 5 main limitations of AI: data, cultural limitations, bias, emotional intelligence, and lack of a strategic approach. It then discusses 5 key advantages: reduction in human error, taking risks instead of humans, availability 24/7, helping with repetitive jobs, and digital assistance. Finally, it covers 5 disadvantages: high creation costs, making humans lazy, unemployment, lack of emotions, and inability to think outside the box. The document thus provides a broad overview of the history, limitations, advantages and disadvantages of artificial intelligence.
Presentation for Resource person on “Artificial Intelligence – How it useful to Government Departments” organized by Government of Andra Pradesh, APHRDI (Andhra Pradesh Human Resource Development Institute) at Bapatla, Andra Pradesh, India on Jan 18-20, 2018.
https://www.learntek.org/blog/machine-learning-vs-deep-learning/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
https://www.learntek.org/blog/machine-learning-vs-deep-learning/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
This document discusses cognitive automation and artificial intelligence. It begins with definitions of cognition and automation. It then provides a brief history of automation and examples of current automation technologies. It discusses different types of artificial intelligence from narrow to general to super intelligence. It also discusses machine learning and deep learning approaches. The document outlines various applications of cognitive automation and artificial intelligence, as well as challenges. It emphasizes that cognitive automation will change but not eliminate jobs for humans. The presentation aims to inspire students to help build the future of cognitive automation and artificial intelligence.
AI and automation is all the rage nowadays - but what’s the history of these technologies, innovations and ideas?
AI and automation is all the rage nowadays - but what’s the history of these technologies, innovations and ideas? This slides will discuss the brief history of the current interesting technologies and their development to society and mankind.
Sri Krishnamurthy presents on machine learning and AI in finance. He discusses how the 4th industrial revolution is being driven by emerging technologies like AI, robotics, and 5G. Machine learning and AI are revolutionizing the finance industry by enabling real-time analytics, predictive analytics, and automating tasks. Sri outlines the machine learning workflow and key areas where machine learning is being applied in finance like trading strategies, risk management, and fraud detection.
This document provides a summary of Jim Spohrer's presentation on "Service in the AI Era: Science, Logic, and Architecture Perspectives" given to the 2022 UC Merced Service Science class. The presentation covered several key topics:
1) It discussed two approaches to the future - artificial intelligence which focuses on building capable machine systems, and service science which studies transformation and building smarter socio-technical systems.
2) It presented a conceptual framework for service science that views it as a transdisciplinary approach to studying service systems.
3) It emphasized that as artificial intelligence and digital technologies continue advancing, they require investing wisely to improve service and understanding through better science, logics, and architectures.
Impact of Artificial Intelligence/Machine Learning on Workforce CapabilityLearningCafe
The application of AI/ML is reshaping the job market and will eventually create new jobs & roles that we can’t even imagine today. Reskilling the workforce and reforming learning and career models will play a critical role in facilitating this change. The question remains if that will be provided by the traditional internal HR/L&D team or some other model.
The slide helps to get an insight on the concepts of Artificial Intelligence.
The topics covered are as follows,
* Concept of AI
* Meaning of AI
* History of AI
* Levels of AI
* Types of AI
* Applications of AI - Agriculture, Health, Business (Emerging market), Education
* AI Tools and Platforms
Research Issues, Challenges and Directions in IoT (Internet of Things)Praveen Hanchinal
Presentation focuses on Research Issues, Challenges and Directions in IoT (Internet of Things) at This Presentation was presented at Kongu Engineering College, Erode, India
In this video from the MIT Deep Learning Series, Lex Fridman presents: Deep Learning State of the Art (2020).
"This lecture is on the most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and society in general. This lecture is part of the MIT Deep Learning Lecture Series."
Watch the video: https://wp.me/p3RLHQ-lng
Learn more: https://deeplearning.mit.edu/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
FinTech, AI, Machine Learning in FinanceSanjiv Das
Alexa, Siri, Cortana, Google Assistant
- Vision: Amazon Rekognition, Google Cloud Vision
- Natural Language: IBM Watson, Microsoft LUIS
- Recommendation: Amazon Personalize
- Translation: Google Translate, Microsoft Translator
- Speech: Amazon Polly, Google Cloud Speech
- Conversational AI: Anthropic, Anthropic, Anthropic
- Custom AI Solutions: Google Cloud AI, Microsoft Azure ML
- Low-Code AI: Anthropic, DataRobot, H2O.ai
- Edge AI: AWS Greengrass, Google Edge TPU
- AI Chips: Google TPU, Intel Nervana, Nvidia GPU
This document provides information about computer science opportunities at Hofstra University from 2014-2015. It summarizes that over one million computer-related jobs are expected to be created by 2014, with recent Hofstra graduates finding jobs in fields such as banking, consulting, and game development. The computer science department at Hofstra offers undergraduate and graduate degrees, and has new facilities like the Big Data Lab funded by a $1 million grant to prepare students for data-related careers. Courses in the Big Data Lab utilize its resources for topics like networking, databases, and distributed computing.
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human ComputationCUbRIK Project
2013, July 8
Part 1 of the tutorial illustrated at ICWE 2013, by Alessandro Bozzon (Delft University of Technology)
Crowdsourcing and human computation are novel disciplines that enable the design of computation processes that include humans as actors for task execution. In such a context, Games With a Purpose are an effective mean to channel, in a constructive manner, the human brainpower required to perform tasks that computers are unable to perform, through computer games. This tutorial introduces the core research questions in human computation, with a specific focus on the techniques required to manage structured and unstructured data. The second half of the tutorial delves into the field of game design for serious task, with an emphasis on games for human computation purposes. Our goal is to provide participants with a wide, yet complete overview of the research landscape; we aim at giving practitioners a solid understanding of the best practices in designing and running human computation tasks, while providing academics with solid references and, possibly, promising ideas for their future research activities.
Learn the fundamentals of Deep Learning, Machine Learning, and AI, how they've impacted everyday technology, and what's coming next in Artificial Intelligence technology.
We have seen some emerging IT and computed technologies across different spaces. Some Information Technology colleges in Gujarat have started to educate their students about a different aspect of IT like blockchain technology, smarter devices, datafication, cloud computer and many more.
This document discusses various applications of computer networks. It begins by introducing how networks connect people and devices globally. It then discusses how the internet and world wide web enable access to information and global collaboration. Communication applications like messaging, video conferencing and collaborative documents are also covered. Other sections explain cloud computing, the internet of things, online entertainment, e-commerce, online banking and e-learning - all areas that rely on computer networks. Benefits of each application are highlighted such as flexibility, cost savings and accessibility. The document provides an overview of the many ways networks are used in the digital era.
[Srijan Wednesday Webinars] Artificial Intelligence & the Future of BusinessSrijan Technologies
“AI is the new electricity” – Andrew Ng, former Chief Data Scientist, Baidu
Artificial Intelligence is the new frontier for human evolution. It will upend industries, cause fundamental shifts in processes and jobs, and create unprecedented innovation.The question one wishes to answer is: how and why it impacts industry, and how can it be leveraged by businesses.
This session will introduce AI and machine learning: the process of creating AI, and go on to discuss the key applications of these emerging technologies. We will also dive into a preliminary review of ML algorithms and how they work.
Key Takeaways:
- Define AI and ML, and the philosophy behind these new technologies
- The impact of AI on jobs, communities, business, and industry
- The use cases of AI in different industries like hi-tech, manufacturing, healthcare, publishing and media, education, transportation etc.
-Introduction to machine learning algorithms like classification, regression, neural networks etc.
Check our webinars series and sign up for future webinar notifications at: www.srijan.net/webinar/past-webinars
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...Paul Gilbreath
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
The document provides an introduction to artificial intelligence (AI), including its history and limitations. It discusses 5 main limitations of AI: data, cultural limitations, bias, emotional intelligence, and lack of a strategic approach. It then discusses 5 key advantages: reduction in human error, taking risks instead of humans, availability 24/7, helping with repetitive jobs, and digital assistance. Finally, it covers 5 disadvantages: high creation costs, making humans lazy, unemployment, lack of emotions, and inability to think outside the box. The document thus provides a broad overview of the history, limitations, advantages and disadvantages of artificial intelligence.
Presentation for Resource person on “Artificial Intelligence – How it useful to Government Departments” organized by Government of Andra Pradesh, APHRDI (Andhra Pradesh Human Resource Development Institute) at Bapatla, Andra Pradesh, India on Jan 18-20, 2018.
https://www.learntek.org/blog/machine-learning-vs-deep-learning/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
https://www.learntek.org/blog/machine-learning-vs-deep-learning/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
This document discusses cognitive automation and artificial intelligence. It begins with definitions of cognition and automation. It then provides a brief history of automation and examples of current automation technologies. It discusses different types of artificial intelligence from narrow to general to super intelligence. It also discusses machine learning and deep learning approaches. The document outlines various applications of cognitive automation and artificial intelligence, as well as challenges. It emphasizes that cognitive automation will change but not eliminate jobs for humans. The presentation aims to inspire students to help build the future of cognitive automation and artificial intelligence.
AI and automation is all the rage nowadays - but what’s the history of these technologies, innovations and ideas?
AI and automation is all the rage nowadays - but what’s the history of these technologies, innovations and ideas? This slides will discuss the brief history of the current interesting technologies and their development to society and mankind.
Sri Krishnamurthy presents on machine learning and AI in finance. He discusses how the 4th industrial revolution is being driven by emerging technologies like AI, robotics, and 5G. Machine learning and AI are revolutionizing the finance industry by enabling real-time analytics, predictive analytics, and automating tasks. Sri outlines the machine learning workflow and key areas where machine learning is being applied in finance like trading strategies, risk management, and fraud detection.
This document provides a summary of Jim Spohrer's presentation on "Service in the AI Era: Science, Logic, and Architecture Perspectives" given to the 2022 UC Merced Service Science class. The presentation covered several key topics:
1) It discussed two approaches to the future - artificial intelligence which focuses on building capable machine systems, and service science which studies transformation and building smarter socio-technical systems.
2) It presented a conceptual framework for service science that views it as a transdisciplinary approach to studying service systems.
3) It emphasized that as artificial intelligence and digital technologies continue advancing, they require investing wisely to improve service and understanding through better science, logics, and architectures.
Impact of Artificial Intelligence/Machine Learning on Workforce CapabilityLearningCafe
The application of AI/ML is reshaping the job market and will eventually create new jobs & roles that we can’t even imagine today. Reskilling the workforce and reforming learning and career models will play a critical role in facilitating this change. The question remains if that will be provided by the traditional internal HR/L&D team or some other model.
The slide helps to get an insight on the concepts of Artificial Intelligence.
The topics covered are as follows,
* Concept of AI
* Meaning of AI
* History of AI
* Levels of AI
* Types of AI
* Applications of AI - Agriculture, Health, Business (Emerging market), Education
* AI Tools and Platforms
Research Issues, Challenges and Directions in IoT (Internet of Things)Praveen Hanchinal
Presentation focuses on Research Issues, Challenges and Directions in IoT (Internet of Things) at This Presentation was presented at Kongu Engineering College, Erode, India
In this video from the MIT Deep Learning Series, Lex Fridman presents: Deep Learning State of the Art (2020).
"This lecture is on the most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and society in general. This lecture is part of the MIT Deep Learning Lecture Series."
Watch the video: https://wp.me/p3RLHQ-lng
Learn more: https://deeplearning.mit.edu/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
FinTech, AI, Machine Learning in FinanceSanjiv Das
Alexa, Siri, Cortana, Google Assistant
- Vision: Amazon Rekognition, Google Cloud Vision
- Natural Language: IBM Watson, Microsoft LUIS
- Recommendation: Amazon Personalize
- Translation: Google Translate, Microsoft Translator
- Speech: Amazon Polly, Google Cloud Speech
- Conversational AI: Anthropic, Anthropic, Anthropic
- Custom AI Solutions: Google Cloud AI, Microsoft Azure ML
- Low-Code AI: Anthropic, DataRobot, H2O.ai
- Edge AI: AWS Greengrass, Google Edge TPU
- AI Chips: Google TPU, Intel Nervana, Nvidia GPU
This document provides information about computer science opportunities at Hofstra University from 2014-2015. It summarizes that over one million computer-related jobs are expected to be created by 2014, with recent Hofstra graduates finding jobs in fields such as banking, consulting, and game development. The computer science department at Hofstra offers undergraduate and graduate degrees, and has new facilities like the Big Data Lab funded by a $1 million grant to prepare students for data-related careers. Courses in the Big Data Lab utilize its resources for topics like networking, databases, and distributed computing.
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human ComputationCUbRIK Project
2013, July 8
Part 1 of the tutorial illustrated at ICWE 2013, by Alessandro Bozzon (Delft University of Technology)
Crowdsourcing and human computation are novel disciplines that enable the design of computation processes that include humans as actors for task execution. In such a context, Games With a Purpose are an effective mean to channel, in a constructive manner, the human brainpower required to perform tasks that computers are unable to perform, through computer games. This tutorial introduces the core research questions in human computation, with a specific focus on the techniques required to manage structured and unstructured data. The second half of the tutorial delves into the field of game design for serious task, with an emphasis on games for human computation purposes. Our goal is to provide participants with a wide, yet complete overview of the research landscape; we aim at giving practitioners a solid understanding of the best practices in designing and running human computation tasks, while providing academics with solid references and, possibly, promising ideas for their future research activities.
Learn the fundamentals of Deep Learning, Machine Learning, and AI, how they've impacted everyday technology, and what's coming next in Artificial Intelligence technology.
We have seen some emerging IT and computed technologies across different spaces. Some Information Technology colleges in Gujarat have started to educate their students about a different aspect of IT like blockchain technology, smarter devices, datafication, cloud computer and many more.
This document discusses various applications of computer networks. It begins by introducing how networks connect people and devices globally. It then discusses how the internet and world wide web enable access to information and global collaboration. Communication applications like messaging, video conferencing and collaborative documents are also covered. Other sections explain cloud computing, the internet of things, online entertainment, e-commerce, online banking and e-learning - all areas that rely on computer networks. Benefits of each application are highlighted such as flexibility, cost savings and accessibility. The document provides an overview of the many ways networks are used in the digital era.
leewayhertz.com-AI in web3 How AI manifests in the world of web3.pdfKristiLBurns
the integration of AI into Web3 presents several technical challenges and obstacles. Hence, to unleash the full potential of AI in Web3, we must first identify the roadblocks impeding this convergence and find innovative solutions to overcome them.
The document discusses emerging technologies that will impact jobs in the future according to a World Economic Forum report. It lists technologies like artificial intelligence, machine learning, data science, blockchain, cyber security, cloud computing, 3D printing, 5G networks, the Internet of Things, quantum computing, digital marketing, e-commerce, robotics, and transportation innovations like hyperloops and autonomous vehicles. The report predicts these technologies will transform the nature of many existing jobs and create new types of jobs in the coming years.
Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...BigDataExpo
Extelligence is the new intelligence as physical and digital continue to converge, requiring new communication abilities to manage vast information. Extelligence refers to cultural capital available externally through media, with complicity of extelligence and intelligence fundamental to consciousness development. The document discusses topics around the Next Generation Internet including 5G, smart cities, identity, distributed architectures, and a vision for an open and democratic internet.
An exploration of AI and analytics, blockchain, robotics and 3D printing, 5G and immersive technology, gamification, video based learning and their likely impact on learning in the medium term. Also has some cautions. Developed for a series of presentations across Canada.
The document discusses rebooting the Internet of Things (IoT) by moving away from centralized cloud-based models and toward decentralized architectures. It argues that for the IoT to scale sustainably, solutions need lower costs, stronger privacy protections, and durable business models. The author envisions an "Economy of Things" where connected devices can autonomously transact with each other via open-source technologies like peer-to-peer messaging, file sharing, and blockchains. Telecom providers are encouraged to develop analytics capabilities from IoT data and expose assets via APIs to collaborate in IoT ecosystems.
The document discusses machine learning and its applications in cyber security. It provides an introduction to machine learning and how it is used to analyze large amounts of data and make decisions without being explicitly programmed. Examples of machine learning applications discussed include recommendation systems, activity recognition, weather forecasting, and image processing. The document also discusses how machine learning is being applied in cyber security to help detect sophisticated cyber attacks.
Presentation to startup groups at Finders New Venture Institute (NVI) Smart City/Venture Dorm Summer Accelerator 2017 (http://www.nviflinders.com.au/what-we-provide/smartcityventuredorm/). Overview of technologies to keep an eye out for.
2021020 jim spohrer ai for_good_conference future_of_ai v4ISSIP
Jim Spohrer serves on the Board of Directors of ISSIP and previously worked at IBM, where he directed various AI and service science initiatives. He discusses the future of AI, predicting that compute costs will decrease by a factor of 1000 every 20 years, enabling digital workers to become more capable and affordable. He presents a timeline and framework for benchmarking AI progress on open leaderboards to achieve human-level performance in various tasks over time. The best way to predict the future, he says, is to inspire students to build a better future.
Key Features of mHealth:
Accessibility: mHealth allows users to access health-related information and services anytime and anywhere, making it convenient for both healthcare providers and patients.
Remote Monitoring: With mHealth, patients can monitor their health conditions remotely using wearable devices or mobile apps, enabling real-time data tracking and sharing with healthcare professionals.
Health Education and Awareness: Mobile apps and platforms offer health education materials and raise awareness about various medical conditions, preventive measures, and healthy lifestyles.
Telemedicine: mHealth facilitates telemedicine, where patients can consult with healthcare providers through video calls or messaging services, reducing the need for in-person visits.
Health Data Management: Mobile health applications enable users to store and manage their health data, such as medical records, test results, and medication reminders.
Personalized Health Solutions: mHealth platforms can provide personalized health solutions based on individual health data, promoting targeted interventions and better healthcare outcomes.
Benefits of mHealth:
Improved Access to Healthcare: mHealth eliminates geographical barriers and improves access to healthcare services, especially in remote or underserved areas.
Better Patient Engagement: Patients can actively participate in managing their health, leading to improved self-care and adherence to treatment plans.
Cost-Effectiveness: mHealth solutions can reduce healthcare costs by avoiding unnecessary visits to healthcare facilities and preventing hospital readmissions.
Real-Time Data Sharing: Healthcare providers can receive real-time data from patients, allowing timely interventions and personalized treatment plans.
Enhanced Public Health Initiatives: mHealth applications contribute to public health initiatives by delivering health education and promoting preventive measures for specific health issues.
Despite its numerous benefits, mHealth also faces challenges such as ensuring data security and privacy, regulatory compliance, and reaching populations with limited access to mobile technology. Nonetheless, mHealth continues to transform healthcare delivery, making it more efficient, accessible, and patient-centered.
emerging technologies 3.0
Emerging Technologies such as artificial intelligence (AI), machine learning (ML), augmented reality (AR), the Internet of Things (IoT) and quantum computing can help organizations scale on demand, improve resiliency, minimize infrastructure investments and deploy solutions rapidly and securely.
Gartner Top 10 Strategy Technology Trends 2018Den Reymer
The document discusses several emerging technologies that are contributing to the development of an intelligent digital mesh, including blockchain, event-driven models, continuous adaptive risk and trust approaches, digital twins, cloud to edge computing, conversational platforms, immersive experiences, advanced AI techniques, intelligent applications/analytics, and intelligent things. It notes that the interconnected nature of these trends will exponentially increase market disruption and digital business opportunities through the creation of an intelligent digital mesh.
Data Science for Internet of Things with Ajit JaokarJessica Willis
The document discusses methodologies for data science and the Internet of Things (IoT). It begins by noting that there is currently no single agreed upon methodology for solving data science problems for IoT (IoT analytics). It then poses some initial questions on whether a distinct IoT data science methodology is needed, and if IoT problems warrant a specific approach. While IoT data science problems are similar to general data science problems, the document notes there are some unique considerations for IoT, such as the use of hardware, high data volumes, and streaming data.
The document discusses methodologies for data science and the Internet of Things (IoT). It begins by noting that there is currently no single agreed upon methodology for solving data science problems for IoT (IoT analytics). It then poses some initial questions on whether a distinct IoT data science methodology is needed, and if IoT problems warrant a specific approach. While IoT analytics problems are typical data science problems, the document notes there are some unique considerations for IoT, such as the use of hardware, high data volumes, and streaming data.
The document discusses several emerging technologies including artificial intelligence, machine learning, augmented reality, the Internet of Things, quantum computing, and how these technologies can help organizations scale efficiently, improve resiliency, minimize infrastructure costs, and deploy solutions rapidly and securely. It then provides more details on specific emerging technologies such as data science, blockchain, cybersecurity, cloud computing, and digital marketing.
emerging technologies 3.0
Emerging Technologies such as artificial intelligence (AI), machine learning (ML), augmented reality (AR), the Internet of Things (IoT) and quantum computing can help organizations scale on demand, improve resiliency, minimize infrastructure investments and deploy solutions rapidly and securely.
The purpose of this workshop was to highlight the the significance of AI, IoT and their integration under the light of scientific research. The presentation of the workshop can be found below.
Ajit Jaokar, Data Science for IoT professor at Oxford University “Enterprise ...Dataconomy Media
“Enterprise AI - Artificial Intelligence for the Enterprise."
AI is impacting many areas today. This talk discusses how AI will impact the Enterprise and what it means in the near future. The talk is based on my course I teach at the University of Oxford.
The document discusses several emerging technologies including artificial intelligence, machine learning, deep learning, data science, blockchain, cyber security, cloud computing, 5G, the Internet of Things, quantum computing, digital marketing, and e-commerce. It provides definitions and examples for each technology. Artificial intelligence and machine learning are discussed in the most detail, outlining how they can perform tasks like visual perception, speech recognition, and decision making. Machine learning algorithms use historical data to predict new outputs.
Ethics of AI. What can and should be the Artificial Intelligence legal regime. How to ensure its responsible development and use. Whether it needs rights. How it will affect our rights.
Nanostructures at metal oxide and semiconductor boundaries (Engl)Vladislav Shershulsky
This document summarizes Vladislav Shershulsky's background in researching electrochemical nanostructures through anodizing aluminum. It discusses how anodizing leads to self-organized pore formation through a non-equilibrium process. Shershulsky was part of a research group in the 1990s that proposed a model to explain pore size dependence on anodizing potential and performed early computer simulations of pore growth. The document outlines continued research prospects, including 3D simulations and models incorporating more physical effects. It concludes that surface nano-electrochemistry remains an active area confirming many of the original findings.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
The chapter Lifelines of National Economy in Class 10 Geography focuses on the various modes of transportation and communication that play a vital role in the economic development of a country. These lifelines are crucial for the movement of goods, services, and people, thereby connecting different regions and promoting economic activities.
3. Education and
technology Life as Learning (Cyber Learning Platform)
The full cycle of education online
Online Certification
Nonverbal feedback analysis
Campus smartification
School robotics and gamification
Open online courses
Interactive learning environments
Electronic tutorials
…
School calculators
Audio and TV at school
Ballpoint pens at school
…
10. The clouds are getting smarter
fast tensor (multivariate matrix) calculations with variable floating accuracy
for deep learning of neural networks
Google
Cloud TPU
Microsoft
Brainwave
(FPGA)
NVIDIA
Volta-based GPU
Intel
Nervana
Layer of reconfigurable
FPGA neural network
processors
Converged network
Layer of universal CPUs
11. Comparison of performance of universal, graphical and neural network processors (case of traffic optimization)
14. Some conclusions...
• Computer clouds form the technical and economic basis of modern information technology
and provide most of the services to a wide range of customers around the world.
• It is in the clouds that new technologies and services are born in and delivered from.
Without the use of global clouds, it is impossible to stay at the current technical level.
• Clouds provide low cost, constant availability and the best possible protection for user data.
• Clouds for the first time have made the entire range of modern information technologies
available to the vast majority of educational institutions of any profile, size and location.
Using quite simple standard computers one can use in the work and teach students most
modern technologies and tools.
20. Where blockchain is
useful
• Where there is a natural side to which
everyone trusts (forced to be trusted)
• Where participants rely on a third party (e.g.
the State) to hold offenders accountable
• Where the risk of conflicting coalitions is high
• Where the benefits of some individual
participants from the destruction of the
service can be compared to benefits of
others from its proper functioning
• Where there is no single "natural" trust
center (such as government agency etc.)
• Where there are many routine
transactions and participants need to
reduce their price
• Where the majority of participants are
interested in the development and
correct functioning of the service
…and where is
not so much
21. Example: blockchain and formation
• Issuance and verification of
diplomas and certificates
• Monitoring of learning activity
• Olympics and contests
• Fighting plagiarism
• Consumables accounting
• Payments for educational
services
• Payments for related services
and internal cross payments
• Targeted scholarships
• Endowment
BLOCKCHAIN
AT EDUCATION
http://www.e-learn.nl/2017/11/10/blockchain-in-education-report
22. Example: Nicosia University
The University of Nicosia opened a specialization in blockchain, was the first
to issue a diploma in blockchain and even accept payment in bitcoins
23. Some conclusions...
• Blockchain can solve many problems: lowering transaction costs, simplifying business processes in
decentralized multi-agent systems with limited trust, etc. It will change the face of many industries,
including finance and insurance, the food market, copyright, and perhaps even education.
• Blockchain is likely to be of limited use where parties to transactions rely on a third party (including
the government) to enforce the terms of contracts.
• Blockchain solutions have only now begun to reach a level of maturity sufficient for really sensitive
applications.
• We rely on blockchain in some futuristic scenarios such as IoT controllers' involvement in financial
transactions, tax payments, etc.
• In education, blockchain can help create and monitor student portfolios, international
student/institution interactions, qualifications for employers, education finance management, etc.
25. For years, we've
been learning to
understand and
use new tech
Today, for the first time, we have technology,
AI, which learns from us and our data how to
serve us better
Language
Forecasts
Speech
Vision
Coordination
A new paradigm
39. Ready-to-use and customizable services
in the cloud
Prebuilt AI
solutions
Vision
Speech
Language
Search
Recommendations
Reports
Customizable
AI solutions
Data
preparation
Machine
Learning
Stream
analytics
Bot
framework
47. Selective weed
treatment
The Blue River LettuceBot can move
around the field, photographing
5,000 plants per minute, identifying
them and destroying weeds in real
time.
48. Cutting and removal of bones (deboning of cuts)
MAYEKAWA HAMDAS-RX
uses machine learning and X-
ray analysis to accurately cut
to fit variations in cut sizes
and shapes
50. Neural networks and scientific research
NASA and Google discovered two new planets in December 2017
http://www.businessinsider.com/nasa-google-kepler-new-planets-artificial-intelligence-2017-12
52. Reconstruction of words and images
by brain activity
Jack Gallant, professor at the University of California at Berkeley, uses real-time MRI data from the brain and artificial neural networks to reconstruct images
people imagin. See: http://news.berkeley.edu/2011/09/22/brain-movies/ , http://www.dailymail.co.uk/sciencetech/article-3561923/Incredible-brain-
dictionary-reveals-minds-understand-language-Model-shows-exact-locations-store-thousands-words-need-use-them.html
53.
54. How smart are
these services?
To model neurons and connections between them
one need large computational resources.
AI systems, practically used today, implement not so
much the intelligence as the instincts of animals like insects.
Using even the most powerful modern computer we could
potentially simulate intelligence at the level between the
crocodile and hamster.
But in ten years, the situation will change a lot.
Most likely, the General AI will appear in the course of
commercial cloud-based AI services development instead
of being created on a special supercomputer.
crocodile
human →
humankind →
55. The other side of AI
Biased
decisions
Nontransparent
recommendations
Mis-
information
Hard
choice
60. Is it time to teach AI and Data Science at school?
AI is no longer a
"Rocket Science"
The foundation
of rationality
Challenges and
opportunities
Knowledge of basic statistics
and linear algebra is enough
to understand
There are convenient tools
and software libraries
Some countries already have
begun to incorporate the
basics of AI into school
curricula
Understanding the basics of
AI will help distinguish truth
from lying and manipulation
Will helps to understand the
data (e.g. open data
published by Gov etc.)
Will help one to make
informed decisions
To be successful, one needs
more creativity now.
One need to have the skills
to use AI
We have to be prepared to
deal with ethical issues
related to AI usage
61. A robot
in the classroom ?
A lesson
without a teacher ?
No !
Restrictions on contact with teachers and
fellow students should be seen as a
serious problem in the design of any
online education system and should only
be allowed on a limited scale if strictly
necessary. Aldwyn Cooper. Robot teachers won’t replace us. September 25, 2017
https://www.timeshighereducation.com/opinion/robot-teachers-wont-replace-us
62. AI in education
Illustration from the classic article:
Seth Fletcher, Machine Learning, Scientific American 309, 62-68 (2013)
• Personalization of courses, progression and content.
• Personalization of testing.
• Predictive learning analytics.
• Early professional diagnostics.
• Training courses analysis.
• Helping students communicate with peers around the world.
• Diagnosis of students' understanding of the material and the emotional
state of the student and teacher.
• Assisting in the development of a "personal educational trajectory" and a
plan for the next lesson (much like a Netflix does with entertainment).
• Assisting teachers in course preparation.
• Assisting administrators in educational planning.
• "Non-training” applications: support for decision-making in loan systems,
resource management, campus management, etc.
63. Some conclusions...
• Artificial intelligence and, in particular, deep learning technologies, are rapidly evolving.
Perspective ideas emerge and are implemented almost daily in an open exchange of
information between the academic and business communities.
• AI systems can already do work that was considered purely human until recently. In order to feel
confident in the labor market, graduates should be better prepared and, most importantly, more
creative, than before.
• The use of AI creates many opportunities, but it also creates many problems. Artificial
information agents are entrusted with increasingly important tasks. We need to learn how to
treat them properly and teach them morals.
• Data Science and Machine Learning are the basis of modern rational understanding of the
world. Teaching the conscious use of AI is one of important task of education.
• AI is increasingly used in training - for personalization, gamification, results analysis, planning.
But there is no evidence that AI will replace teachers.
65. Штаб-квартира Deloitte Touche Tohmatsu Limited в Амстердаме: офисное пространство, адаптирующееся под
пользователей; самообеспечение энергией и, частично, водой; интеграция компьютерной и электро- сетей
Smart campus
Microsoft campus: 150+ buildings, 1.5 million m2, 60+ thousand employees, own transport system.2 million sensors,
30 thousand actuators, 500 million transactions per day, 50% of failures are fixed in a minute
71. LOW AVERAGE HIGH
A B
B
B
B
B
B
B
B
B
A
A
A
A
A
A
A
A
Assessing the risks
of academic achievement and socialization
72.
73.
74.
75. Smart campus 2.0
Single control loop
to ensure :
• security,
• comfort,
• energy efficiency,
• preventive maintenance,
• attendance control,
• engagement analysis,
• learning satisfaction
76. Ethics of technology usage
Modern technologies increase comfort, safety and efficiency. But when using them, one should
avoid privacy invasion.
In particular... :
• Monitoring should be agreed to by the students and/or their parents.
• Data should only be used for the purposes agreed with them.
• They must not be stored longer than necessary for the production process.
• No decisions regarding students should be made automatically or solely based on an
automated system data and/or recomendations.
• All systems should be carefully reviewed to ensure that there is no explicit or implicit (including
inadvertent) discrimination on any grounds.
• Data should be securely stored and may only be shared with third parties as required by law.
80. “The future doesn’t care how you became an expert.”
degreed.com
The model described below is based on the vision, concepts
and developments presented by
• Institute For The Future (IFTF)
• ACT Foundation и ACT’s Center for Equity in Learning
• Sony Global Education
• MIT Media Lab
• Holberton School
• Knowledge Management Institute (KMi)
• Joint Research Center (Report "Blockchain in Education"
for the European Commission)
• Current developments of edutech startups
• Discussions with experts, publications
School of life and life as a school
81. Techno-realism: you can definitely do it
Storage, protection and provision of certificates
Accreditation, including multistage
Transfer of data on the courses passed between
educational institutions
Lifetime "student's passport"
Student’s and professor’s ID
Intellectual property management
Tuition payment
Grants and educational loans
82. Educational institution today and tomorrow
Basic educational services
o Video courses on popular webhosts (youtube, etc.);
o Interactive courses utilizing text and computational
(analytical) tools;
o Proprietary online courses with their own management
systems;
o Massive open online courses (MOOCs);
o Custom online "micro-degrees" (similar to Udacity);
o Branded online systems (sets) of courses for obtaining
a particular degree.
Applied educational and
scientific services
o Language/linguistic;
o Mathematical;
o Technical;
o Project management and team work (agile
etc.).
o And more
Educational support services
o Learning management systems (LMS);
o Systems supporting preparation of learning courses;
o E-learning tools (infrastructure, software and devices);
o Classroom support systems;
o Practice and coaching management systems;
o Qualification assessment and examinations;
o Educational Analytics.
Educational institution management
o Endowment;
o Resource planning and management;
o Management of incubators and other forms of encouraging
entrepreneurial activity;
o Management of capital assets;
o Advertising and PR;
o Students and alumni relationship management;
o Loans and scholarships;
o Building a career, etc.;
o Certification of professional qualifications (registers and
ratings of specialists);
o Student self-government.
Clouds
Internet of Things
Big Data
Machine Learning
Blockchain
Natural Interface
83. A bit of futurism
Institute For The Future (IFTF) and
ACT Foundation and ACT’s Center
for Equity in Learning proposed
novel model of knowledge
acquisition and development
84. Idea 1: common ledger
It is possible to enhance the flexibility, reactivity and
quality of the education system, and to reduce its
associated overhead costs, if to ensure automated
storage and unified exchange of the verifiable
documents about courses, qualifying exams, and the
level of education between students, teachers and
educational institutions, certification bodies and
employers
http://blockchain.open.ac.uk/
85. Idea 2: Lifelong learning/education
http://blockchain.open.ac.uk/
Education is not just a diploma. This is a set of all completed
training courses, practices, projects, work experience,
corporate trainings, professional development, independent
study in free time, etc. Life is learning, to reflect this
experience, one could collect all the facts about educational
activities in the form of a secure verifiable machine-readable
chain of records, i.e. in the blockchain
86. Idea 3: Personalized education
http://7vershin.ru/photos/all/section_35/item_5675/
There is no royal path to geometry. But everyone can have
their own way to knowledge. The goals of each, too, can be
different. Instead of choosing one for all, ideal for nobody,
universal order of learning let’s help everyone to choose
their own way. And the guidelines on this path will be the
convenience of studying and the needs of society.
87. Idea 4: knowledge and skills are assets, the value of
which can and should be measured and acknowledged
New technologies allow:
• Collect data on each student's "lesson" (blockchain);
• Track each lesson's contribution to a student's future career,
earnings, and recognition (big data);
• Determine the value and adequacy of each lesson for each
next student and give him an opportunity to informed
choice (machine learning).
88. "Quantum leap" in education
One employer
One diploma
One university
One school certificate
One educational program
One teacher
One school
One sponsor (usually, family)
One student
One education ministry
89. "Quantum leap" in education
Many employers
Lifelong learning
Many sources of funding
Many programs, courses, schools and universities
93. Anatomy of edu-block
Verification of the acquired knowledge
Requirements for the initial qualification
(pre-requirements)
Qualification test for the perception
of educational materials
Requirements for tools
Requirements for tutor
Requirements to the team
(if a block is passed in command)
Links to educational content:
texts, videos, interactive notebooks,
game scenarios, etc.
Class of edu-block
Owner and payment principles
Rating of edu-block class
A human, a robot, a team? What kind of knowledge (not blocks!) are pre-
required? How much skills should one have? Works in XXX?
Who is the author? Who can license the unit? Who can transfer the license for
usage in educational process? Who can transfer the license for the passage?
What categories of software and laboratory (physical) tools/instruments and
materials can be used when passing the block?
Who can be a teacher/tutor? The lecturer? The head of the practice?
Roles and qualifications of other team members for the passage of the block
Input control questions or other verification for admission to the block
Texts, video films, interactive notebooks (such as Jupiter, Mathcad,
Mathematica, etc.), game scenarios (missions), description of actions, etc.
Rating of the edu-block class is calculated taking into account academic and
career successes of students who have passed instances of this edu-block
A set of tasks for assessing the mastery of the material in the block
94. Classes, instances and records of edu-block
Verification of the acquired knowledge
Requirements for the initial qualification
(pre-requirements)
Qualification test for the perception
of educational materials
Tools
Tutor
Team
Links to educational content:
texts, videos, interactive notebooks,
game scenarios, etc.
Instance of edu-block
Price
The result of the verification
of the "learned knowledge"
Used tools
Tutor
Team
Identifier of edu-block class
Blockchain entry on the passage
Prove of payment
Identifier of the subject
(the student)
Verification of the acquired knowledge
Requirements for the initial qualification
(pre-requirements)
Qualification test for the perception
of educational materials
Requirements for tools
Requirements for tutor
Requirements to the team
(if a block is passed in command)
Links to educational content:
texts, videos, interactive notebooks,
game scenarios, etc.
Class of edu-block
Owner and payment principles
Rating of edu-block class
95. Training and certification units are similar
Certification units can also be used for exams, “Olympiads”,
professional qualification tests, admission to work, etc.
Verification of acquired knowledge
Requirements for the initial qualification
(pre-requirements)
Qualification test for the perception
of educational material
Links to educational content:
texts, videos, interactive
notebooks, game scenarios, etc.
Class of edu-block
Rating of edu-block class
…
Verification of acquired
knowledge, skills and abilities
Requirements for the initial qualification
(pre-requirements)
Qualification test for the perception
of educational material
Links to educational content:
texts, videos, interactive notebooks,
game scenarios, etc.
Class of attestation edu-block
Rating of edu-block class
…
96. Edu-blocks and Artificial Intelligence
• Edu-blocks are selected for each student individually, taking into account
her/his goals, personal qualities, material, etc. (in many ways similar to how
the films are selected by Netflix).
• In the edu-block class, we can not simply indicate which blocks it refers to as
preconditions. We need to formulate criteria that allow to select suitable blocks
(including new ones) using AI algorithms.
• The content of each instance of the edu-bloc needs to be modified taking
into account which blocks were previously passed to match the designations,
units of measure, style of presentation.
• AI can "come up" with control tasks and check their solutions.
• AI conducts a dialogue with the student, contributing to the mastering of the
material and the decision of organizational questions.
• AI is used to prevent abuses during the performance of the control tasks and
attestation (one can expect both the unfair assistance of friends and parents,
and the emergence of special programs for the online passage of
certifications instead of students).
97. Motivation:
success in life and in the game
Digitalization of education does not imply total exclusion of
teachers from the process, but the role of online education
will definitely grow. How to keep the motivation?
• For some students, a good motivation will be the ability to
monitor their achievements on a daily basis, compare them
with the successes of others, and assess the contribution of
the work done to future professional success and well-
being.
• For others, gamification would be a good option, where
education is organized as a sort of quest with a variety of
options, missions, visual effects, perhaps, a team game,
competitions, etc.
https://news.rambler.ru/games/36733597-microsoft-pokazala-
kak-budut-vyglyadet-igry-na-project-scor-io-v-4k-i-1080/
98. Education and career
To associate education with professional success, it is necessary to integrate the management system
of edu-blocks with the professional social network (aka LinkedIn) – it is also a large complex graph
Forecast
Equipment
maintenance
Accounts
Service
requests
Orders
Support
case
Shipments
Meetings
Documents
Calendar
Email
Tasks
Message
People
Storage
Relationships
Skills
Professional
contacts
Job History
Talent
Opportunities
99. Economics of edu-blocks
https://youtu.be/DcP78cLPGtE
• The class of blocks can be sold, bought, granted/presented to the subject of
the educational process – school, university, teacher, qualification commission,
enterprise, consumer service, public organization, the state, etc.
• The block can be sold, bought, granted/presented, sponsored to the object of
the educational process – student, team, robot or information service.
• The value of the block class increases with the success of students who have
passed their instances of edu-blocks
• The value of classes affects the value of the content and tools they use
• For employers, educational institutions and qualification commissions, the"
value" of the student grows with the growth of the total value of the passed
blocks and completed certifications (exams, Olympiads, etc.).
• The student can present his/her personal learning path (plan, curriculum) to
his/her sponsors/ investors with a reasonable assessment of each block's
contribution to the future earnings
• The learning process can be mutual (but can edu-block classes be generated
dynamically in the course live classroom communication?)
100. Blockchain and the data ownership in edu
Blockchain naturally provides complete and unchangeable distributed ledger. Is it always an advantage ?
Data transfer and disclosure
Person (student, employee, etc.) or her/his legitimate representatives (parents, educational institutions, state
bodies, employers, etc.) should be able to control, which records could be disclosed to whom, why, and when.
This is mandatory natural requirement to be reflected in architecture and its implementation.
Right to be forgotten
They also may want to omit or exclude some records. This is trickier.
Physically deleted records may cause “orphan” blocks in blockchain, destroy
ratings quality, misinform subjects of edu process, etc. Such functionality
to be designed and implemented carefully. Say, through making some
records completely unreadable and unidentifiable, but still “visible” to
bulk analytics (ratings, etc.). Some records may be prohibited from
“being forgotten” by future law/regulation.
101. Other potential issues
with the "radically new approach“ to edu
• Preparation of the necessary content and changes in educational processes will require a long re-training of authors
and teachers. The transition period can take 10+ (?) years.
• The rating system will begin to operate gradually. It will take a long transition period, while it is "configured" and
“tuned” on the real life examples. At this time, the role of regulators and educational institutions should remain in
some form.
• Edu-block based system will meet the current needs of society and economy, but will not help much to change the
education system "in response to external challenges" (as in the US in response to the satellite).
• If some “ill" practices (low pay for socially important skilled labor, etc.) are rooted in the society, this system will rather
"preserve" than “correct” them.
• The system may face the "digital analogs" of existing abuse (false exams, "fake" accreditation, etc.) – society should
become intolerant to them, and the violations should have serious consequences.
• Collective social games against the digital edu-system are quite likely to be similar to how they
occur against modern adaptive services, such as Uber (driver groups in Facebook), etc.
• Need refinement and experimentation to implement blockchain based solution of such scale.
102. The case: Sony Global Education Math Challenge 5
Math contest/Olympiad, designed to address different levels of training,
different forms of participation, and different interests
280 000 participants
21 500 schools
85 countries
103. The case: Sony Global Education Math Challenge 5
Since the end of 2017, the infrastructure of the Challenge is based on the blockchain
Регистрация участников, учет всех активностей, выдача цифровых сертификатов
104. The case: Sony Global Education Math Challenge 5
Online certificate verification in blockchain
105. The case: Sony Global Education Math Challenge 5
Customization Experiments: Five Thinking Strategies
106. The case: Sony Global Education Math Challenge 5
Detailed personalized analytics and explanations
107. The case: Sony Global Education Math Challenge 5
Continues education, global participation
By the level of qualification By regionBy age for the «Master» level
108. Ethics of technology usage
Modern technologies increase comfort, safety and efficiency.
But when using them, one should avoid privacy infringements.
In particular... :
• Personal data of teachers, parents and students should be strictly protected.
• They should have full control over their data, in particular to determine who and what data
can be shown.
• In exceptional cases, the data may, in the necessary minimum amount, be shown to a third
party in accordance with the procedure established by law.
And we should never forget that IDENTITY ≠ PORTFOLIO (FILE)
• No decisions regarding students may be made automatically or based solely on automated
systems data/recommendations.
110. The educational institution today and tomorrow
Basic learning services
o Video courses on popular hosting sites (including youtube,
etc.);
o Interactive courses using text and computational
(analytical) tools;
o Proprietary online courses with specific management
tools;
o Massive Open Online Courses (MOOCs,);
o Custom micro-degrees, like in Udacity;
o Branded online course systems for a degree.
Applied educational and
research services
o Linguistic;
o Mathematical;
o Technical;
o Project management and teamwork practices
(agile, etc.).
Educational support services
o Learning management Systems (LMS);
o Course Preparation Systems;
o E-learning tools (infrastructure, software and devices);
o Classroom support systems;
o Practice and coaching management systems;
o Qualification assessment and examination;
o Educational analytics.
Management of edu institution
o Endowment;
o Resource planning and management;
o Incubation and other forms of business activates promotion;
o Capital asset management;
o Advertising and PR;
o Student Relationship Management and Alumni;
o Loans and scholarships;
o Career building, etc..;
o Confirmation of professional qualifications (registers and ratings
of specialists);
o Student self-governance;
Clouds
Artificial Intelligence
Internet of Things
Natural interface
Blockchain
111. ICT platform for education
A combination of technologies allows to create a powerful, flexible and reliable solutions
Blockchain
Payments for educational services, including in the global market;
Endowment;
Digital confirmation of qualifications/certificates/diplomas;
Tracking of personal educational trajectories;
Control of the educational process;
Student self-administration;
Internal "self-balance" of structural units;
Asset tracking;
Increase in transparency and efficiency of "near-university"
entrepreneurship (including educational and real ICO).
Artificial Intelligence
Analysis of students' satisfaction and preferences;
Adaptation of course delivery to the student's needs;
Gamification engines for educational games;
Forecast of academic performance;
Issuance of educational loans;
Educational tools for specific disciplines;
Generation of educational assignments;
Analysis of quality of student's works;
Campus security systems;
Management of the engineering infrastructure;
The use by "near-university" startups.
Cloud
Unlimited scalability and elasticity
Best available cybersecurity
Flexible subscription models and low prices
Wide range of services and software
Reliable sandboxes
113. Opportunities for school and teachers :
► Technology trainings, study of existing pedagogical scenarios.
► Transferring experience to the participants of the program in the format of "teacher-teacher" at seminars/webinars/trainings.
► Consultations from Microsoft specialists, technological and methodical support by the pedagogical community.
► Possibility to organize face-to-face learning of Microsoft technologies and pedagogical scenarios directly at specific school.
► Acquaintance with the best international practices, face-to-face and distance participation in Microsoft international activities
for teachers.
► Development and testing of author's pedagogical scenarios, publications.
► Joining Microsoft's international community of edu experts, international recognition.
► Exchange of experience in the form of seminars / webinars / trainings / conferences.
► Participation in professional competitions with new ideas and projects. Participation in Microsoft international events for
teachers. Recognition at home and abroad.
► Opportunity to get the status of Microsoft base site in the region – Microsoft Showcase School.
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