This document proposes a strategy for Romania to develop and adopt artificial intelligence (AI) technologies at a national level. It identifies key stakeholders, including public institutions, education entities, research entities, private sector, and civil society. It then outlines a vision for Romania to enhance lives through responsible AI development that contributes to Europe and globally. The strategy proposes several strategic directions and impact areas for AI projects, such as healthcare, agriculture, education, and smart cities. It also presents some existing and proposed AI projects related to education, research and development.
2021: An Illustrated Journey into Natural ComputingLeandro de Castro
Natural Computing is a subfield of Computer Science and Engineering focused on the interdisciplinarity between computing and nature, and involves the development of new algorithms inspired by nature, computational solutions for the synthesis of natural phenomena, and the use of new natural materials with which to compute. The area has a great success in applications such as optimization, data analytics, robotics, bioinformatics, and many others.
The goal of this book is to spread natural computing mainly to those who are unfamiliar with it or who have little access to this subject field, but who want to know more about what is being investigated in the area. All of this without necessarily entering the technicalities of the specialized scientific literature. The book almost invariably talks about consolidated results, proposals, tools and solutions, already implemented and operating somewhere on the planet, striving to maintain the accuracy of concepts without making them too complicated for readers and, at the same time, without trivializing them.
This volume is an updated translation of the book originally written in Portuguese and titled "Computação Natural: Uma Jornada Ilustrada", published by Livraria da Física in 2010. The main source of reference for both, Portuguese and English versions, is titled “Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications”, published by CRC Press in June 2006, from where its structure and some examples were taken, but with an illustrated and lighter presentation.
Natural language processing in artificial intelligenceAbdul Rafay
Natural Language Processing (NLP) is a branch of artificial intelligence that allows computers to understand, interpret, and interact with humans using natural human languages. NLP uses techniques like syntactic and semantic analysis to convert unstructured human language into structured data that computers can understand. Common applications of NLP include language translation, voice assistants, text analysis, and more. As NLP research advances, machine-human interaction using natural language will continue to improve.
Temporal data mining aims to discover patterns from time-ordered data where observations may be dependent on preceding observations. Key concepts include temporal patterns, time series, frequent episodes, and Markov models. Temporal association mining finds relationships between events separated by time intervals, such as purchases associated with prior purchases. Markov models represent sequences where the next state depends only on the current state, and are used for tasks like predicting website clicks based on prior clicks.
Chapter 1: The human
from
Dix, Finlay, Abowd and Beale (2004).
Human-Computer Interaction, third edition.
Prentice Hall. ISBN 0-13-239864-8.
http://www.hcibook.com/e3/
The document discusses database crash recovery. It explains that crash recovery is needed to restore the database to a consistent state after failures like system crashes or hardware errors. It describes the log-based recovery process used by database management systems, including writing log records, undo/redo operations, and using checkpoints to optimize the recovery process. The sources of failures and the need for backup and recovery from catastrophic failures are also covered.
The document discusses various aspects of term weighting which is important for text retrieval systems, including term frequency, document frequency, inverse document frequency, and how they are used to calculate TF-IDF weights for terms. It also covers stoplists, stemming, and the bag-of-words model which represents text as vectors of word occurrences without considering word order. Term weighting schemes play a major role in the similarity measures used by information retrieval systems to determine document relevance.
This document discusses using a hill climbing search algorithm to solve the traveling salesman problem (TSP). It begins by defining the TSP problem and explaining that it is NP-Hard. It then introduces stochastic optimization methods, including hill climbing, which take randomly generated routes and incrementally improve them. Hill climbing works by only taking steps that improve the current solution until no better steps can be found, risking getting stuck at local maxima.
2021: An Illustrated Journey into Natural ComputingLeandro de Castro
Natural Computing is a subfield of Computer Science and Engineering focused on the interdisciplinarity between computing and nature, and involves the development of new algorithms inspired by nature, computational solutions for the synthesis of natural phenomena, and the use of new natural materials with which to compute. The area has a great success in applications such as optimization, data analytics, robotics, bioinformatics, and many others.
The goal of this book is to spread natural computing mainly to those who are unfamiliar with it or who have little access to this subject field, but who want to know more about what is being investigated in the area. All of this without necessarily entering the technicalities of the specialized scientific literature. The book almost invariably talks about consolidated results, proposals, tools and solutions, already implemented and operating somewhere on the planet, striving to maintain the accuracy of concepts without making them too complicated for readers and, at the same time, without trivializing them.
This volume is an updated translation of the book originally written in Portuguese and titled "Computação Natural: Uma Jornada Ilustrada", published by Livraria da Física in 2010. The main source of reference for both, Portuguese and English versions, is titled “Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications”, published by CRC Press in June 2006, from where its structure and some examples were taken, but with an illustrated and lighter presentation.
Natural language processing in artificial intelligenceAbdul Rafay
Natural Language Processing (NLP) is a branch of artificial intelligence that allows computers to understand, interpret, and interact with humans using natural human languages. NLP uses techniques like syntactic and semantic analysis to convert unstructured human language into structured data that computers can understand. Common applications of NLP include language translation, voice assistants, text analysis, and more. As NLP research advances, machine-human interaction using natural language will continue to improve.
Temporal data mining aims to discover patterns from time-ordered data where observations may be dependent on preceding observations. Key concepts include temporal patterns, time series, frequent episodes, and Markov models. Temporal association mining finds relationships between events separated by time intervals, such as purchases associated with prior purchases. Markov models represent sequences where the next state depends only on the current state, and are used for tasks like predicting website clicks based on prior clicks.
Chapter 1: The human
from
Dix, Finlay, Abowd and Beale (2004).
Human-Computer Interaction, third edition.
Prentice Hall. ISBN 0-13-239864-8.
http://www.hcibook.com/e3/
The document discusses database crash recovery. It explains that crash recovery is needed to restore the database to a consistent state after failures like system crashes or hardware errors. It describes the log-based recovery process used by database management systems, including writing log records, undo/redo operations, and using checkpoints to optimize the recovery process. The sources of failures and the need for backup and recovery from catastrophic failures are also covered.
The document discusses various aspects of term weighting which is important for text retrieval systems, including term frequency, document frequency, inverse document frequency, and how they are used to calculate TF-IDF weights for terms. It also covers stoplists, stemming, and the bag-of-words model which represents text as vectors of word occurrences without considering word order. Term weighting schemes play a major role in the similarity measures used by information retrieval systems to determine document relevance.
This document discusses using a hill climbing search algorithm to solve the traveling salesman problem (TSP). It begins by defining the TSP problem and explaining that it is NP-Hard. It then introduces stochastic optimization methods, including hill climbing, which take randomly generated routes and incrementally improve them. Hill climbing works by only taking steps that improve the current solution until no better steps can be found, risking getting stuck at local maxima.
Link Analysis
A technique that use the graph structure in order to determine the relative importance of the nodes (web pages). One of the biggest changes in our lives in the decade following the turn of the century was the availability of efficient and accurate Web search, through search engines such as Google. While Google was not the first search engine, it was the first able to defeat the spammers who had made search almost useless.
Moreover, the innovation provided by Google was a nontrivial technological advance, called “PageRank.” When PageRank was established as an essential technique for a search engine, spammers invented ways to manipulate the PageRank of a Web page, often called link spam. That development led to the response of TrustRank and other techniques for preventing spammers from attacking PageRank.
This document provides an overview of machine learning. It begins with an introduction and definitions, explaining that machine learning allows computers to learn without being explicitly programmed by exploring algorithms that can learn from data. The document then discusses the different types of machine learning problems including supervised learning, unsupervised learning, and reinforcement learning. It provides examples and applications of each type. The document also covers popular machine learning techniques like decision trees, artificial neural networks, and frameworks/tools used for machine learning.
This presentation educates you about Artificial intelligence composed and those are Reasoning, Learning, Problem Solving, Perception and Linguistic Intelligence.
For more topics stay tuned with Learnbay.
probabilistic, reasoning, artificial, computer, intelligence, IOE, Sushant, Pulchowk, AI,
Statistical techniques used in practical data analysis. e.g. t-tests, ANOVA, regression, correlation;
The use of probabilistic models in psychology and linguistics
Machine learning and computational linguistics/NLP
Measure theory (in fact, almost anything involving infinite sets)
Using logic and probability to handle uncertain situation
Probability based reasoning is same as understanding directly from the knowledge that a given probability rating based on uncertainty present
This document provides an overview of human information processing and cognition. It discusses how humans receive and interpret visual and auditory information. It describes short-term and long-term memory, including different memory models. It also covers topics like problem solving, reasoning, decision making, and how emotion can influence cognitive abilities.
This document discusses uncertainty and probability theory. It begins by explaining sources of uncertainty for autonomous agents from limited sensors and an unknown future. It then covers representing uncertainty with probabilities and Bayes' rule for updating beliefs. Examples show inferring diagnoses from symptoms using conditional probabilities. Independence is described as reducing the information needed for joint distributions. The document emphasizes probability theory and Bayesian reasoning for handling uncertainty.
Transaction servers are used in relational database systems and have multiple server processes that receive queries, execute transactions, and return results. The server processes operate on shared memory and data is stored in a buffer pool. Data servers are used in object-oriented database systems and ship data and processing to powerful client systems to perform computations and return results to the centralized server.
This document is a 3-page exam for a Human Computer Interaction course. It contains 4 parts testing students' knowledge of HCI concepts and principles. Part 1 has 6 true/false questions worth 1.5 points each about system design and interface factors. Part 2 contains 8 multiple choice questions worth 2 points each related to HCI influences, usability, and interaction terms. Part 3 requires discussing the importance of HCI for e-business systems, describing 4 interaction styles, explaining human characteristics for design, and differentiating between slips and mistakes as human errors. The exam is out of a total of 35% and covers a range of foundational HCI topics.
Expert Systems are computer programs that use knowledge and inference procedures to solve problems that normally require human expertise. They are designed to solve problems at an expert level by accessing a substantial knowledge base and applying reasoning mechanisms. Typical tasks for expert systems include data interpretation, diagnosis, structural analysis, planning, and prediction. Expert systems consist of a knowledge base, inference engine, user interface, knowledge acquisition system, and explanation facility. The inference engine applies rules and reasoning to the knowledge base to solve problems. Knowledge acquisition involves eliciting expertise from human experts to build the knowledge base.
The document discusses search strategies in artificial intelligence. It defines key terms like search space, start state, goal test, and search tree. It describes properties of search algorithms like completeness, optimality, time complexity, and space complexity. It differentiates between uninformed searches, which do not use domain knowledge, like breadth-first search and depth-first search, and informed searches, which use heuristics to guide the search more efficiently, like greedy search and A* search. The document outlines the differences between informed and uninformed searches.
The document discusses expert systems, which are computer programs that emulate human decision making. An expert system consists of two main parts: the inference engine, which reasons about knowledge like a human, and the knowledge base, which contains the variable information. Inference can proceed through forward chaining or backward chaining. The document also discusses knowledge representation techniques and the roles of knowledge workers and knowledge work systems.
The Checkout and Order Process
Let us take a look at the stages involved in its order process:
1. Select products to purchase
2. Detailed basket displayed on side of each page
3. Authentication:
Login
Register
Do nothing—already logged in
4. Select delivery address
5. Select delivery method
6. Select gift wrapping
Useful features:
Gift wrapping: The customer can choose to have their order gift wrapped, useful for sending it direct to a recipient
Flexibility to choose delivery address: This makes it really easy for customers to have orders sent to different addresses
Tracking of payment history: On the payment page, the previously used card is recorded
Useful features:
Gift wrapping: The customer can choose to have their order gift wrapped, useful for sending it direct to a recipient
Flexibility to choose delivery address: This makes it really easy for customers to have orders sent to different addresses
Tracking of payment history: On the payment page, the previously used card is recorded
The document discusses different techniques for handling deadlocks in computer systems, including deadlock prevention, avoidance, detection and recovery, and ignorance. Deadlock prevention uses strict resource ordering or timeouts to avoid deadlock situations. Deadlock avoidance uses algorithms like the banker's algorithm or wait-for graphs to detect potential deadlocks and prevent resource allocations that could lead to deadlocks. Deadlock detection and recovery periodically checks for deadlocks using resource allocation graphs or timeouts, terminating processes to resolve any deadlocks found. Deadlock ignorance simply ignores deadlocks, assuming they will resolve on their own over time.
This document discusses building a next word prediction model using deep learning methods like LSTMs. It will take text as input, preprocess and tokenize the data, then build a deep learning model to predict the next word based on the previous words. Simple word prediction models use n-grams to calculate conditional word probabilities based on occurrence counts from text corpora. Bigram and trigram models are discussed as ways to predict the next word based on the previous one or two words in a sequence.
Tools are available to help implement data warehouses and include tools for data transformation, movement, querying, reporting, and analysis. These tools may come from different vendors and use different approaches, so it is important to select tools that are compatible and can share metadata. Key tools include those for data aggregation, visualization, querying, application development, executive information systems, online analytical processing, and data mining.
European Commission plan for regulating artificial intelligence in the Europe...Δρ. Γιώργος K. Κασάπης
The proposal, published by the European Commission, establishes technical and ethical standards that would influence the development and use of AI in health care and other industries.
The rules call for strict enforcement of data quality and requirements that AI developers take steps to eliminate bias in their algorithms. Among the provisions that caught our eye:
•AI systems should be audited to examine the quality of data used to train AI products, as well as how it was gathered and selected, to determine whether adequate steps were taken to ensure algorithms are free of bias.
•In cases where data provenance could not be adequately vetted, AI systems may have to be re-trained on European data using the EU’s quality standards.
•Human oversight of an AI’s conclusions would be required when individual rights or safety are at risk. In such situations, patients would also need to be informed that AI systems were being used.
We work in turning Data into Wisdom for the convenience of all care stakeholders involved into our integrated and interdependent system. We will surely follow EU AI Guiding Principles…….
1. The document discusses how ICT can help address the challenges of an aging population and increasing urbanization by creating smarter, more elderly-friendly cities. It describes several EU projects using technologies like IoT, big data, and mobile health to promote independent living, healthcare access and social engagement for elderly citizens.
2. Key enablers for ambient assisted living include collecting data from diverse sources, analyzing it to gain insights and using IoT to connect people and things. Personal devices are increasingly being used for health tracking and quantified self.
3. The EU funds R&D projects focused on managing health/care, innovating healthcare systems, and ICT solutions for active aging. Examples provided are the BigO
This document provides an overview of ICT-related activities funded under the Horizon 2020 Work Programme for 2016-2017. Key areas covered include Future and Emerging Technologies, e-Infrastructures, Leadership in Enabling and Industrial Technologies (focusing on ICT), and Societal Challenges (including the use of ICT for health). Specific topics are outlined relating to innovation in SMEs, cross-cutting activities, the SME instrument, and using ICT to address challenges like active aging and personalized healthcare. The document concludes with contact information for those interested in Horizon 2020 funding opportunities.
This document discusses cybersecurity challenges and approaches. It notes that cybersecurity is a multifaceted and multidisciplinary field involving technology, people, information, and processes. It also discusses the importance of cybersecurity given the large number of cyber attacks and data breaches. The document outlines some of the technical vulnerabilities that can arise, including issues related to availability, integrity, confidentiality of data and systems. It also briefly discusses future trends like the Internet of Things that may generate new security concerns. Overall, the document provides an overview of the nature of cybersecurity challenges and the multifaceted approaches needed to address those challenges.
The document summarizes the ARTEMIS Spring Event 2013 in Brussels. It discusses the role of ARTEMIS in representing industry and funding collaborative research projects. Projects may receive between 2.5-59 million Euros and involve partners from 8-56 countries. Key topics discussed include smart systems, embedded systems, Internet of Things, eHealth and more. Success stories were highlighted from projects in areas like phone connectivity. Presentations were given on initiatives like Arrowhead and CESAR for safety-critical systems. The event emphasized the importance of communication, collaboration and building a sustainable innovation ecosystem through ARTEMIS funding.
Link Analysis
A technique that use the graph structure in order to determine the relative importance of the nodes (web pages). One of the biggest changes in our lives in the decade following the turn of the century was the availability of efficient and accurate Web search, through search engines such as Google. While Google was not the first search engine, it was the first able to defeat the spammers who had made search almost useless.
Moreover, the innovation provided by Google was a nontrivial technological advance, called “PageRank.” When PageRank was established as an essential technique for a search engine, spammers invented ways to manipulate the PageRank of a Web page, often called link spam. That development led to the response of TrustRank and other techniques for preventing spammers from attacking PageRank.
This document provides an overview of machine learning. It begins with an introduction and definitions, explaining that machine learning allows computers to learn without being explicitly programmed by exploring algorithms that can learn from data. The document then discusses the different types of machine learning problems including supervised learning, unsupervised learning, and reinforcement learning. It provides examples and applications of each type. The document also covers popular machine learning techniques like decision trees, artificial neural networks, and frameworks/tools used for machine learning.
This presentation educates you about Artificial intelligence composed and those are Reasoning, Learning, Problem Solving, Perception and Linguistic Intelligence.
For more topics stay tuned with Learnbay.
probabilistic, reasoning, artificial, computer, intelligence, IOE, Sushant, Pulchowk, AI,
Statistical techniques used in practical data analysis. e.g. t-tests, ANOVA, regression, correlation;
The use of probabilistic models in psychology and linguistics
Machine learning and computational linguistics/NLP
Measure theory (in fact, almost anything involving infinite sets)
Using logic and probability to handle uncertain situation
Probability based reasoning is same as understanding directly from the knowledge that a given probability rating based on uncertainty present
This document provides an overview of human information processing and cognition. It discusses how humans receive and interpret visual and auditory information. It describes short-term and long-term memory, including different memory models. It also covers topics like problem solving, reasoning, decision making, and how emotion can influence cognitive abilities.
This document discusses uncertainty and probability theory. It begins by explaining sources of uncertainty for autonomous agents from limited sensors and an unknown future. It then covers representing uncertainty with probabilities and Bayes' rule for updating beliefs. Examples show inferring diagnoses from symptoms using conditional probabilities. Independence is described as reducing the information needed for joint distributions. The document emphasizes probability theory and Bayesian reasoning for handling uncertainty.
Transaction servers are used in relational database systems and have multiple server processes that receive queries, execute transactions, and return results. The server processes operate on shared memory and data is stored in a buffer pool. Data servers are used in object-oriented database systems and ship data and processing to powerful client systems to perform computations and return results to the centralized server.
This document is a 3-page exam for a Human Computer Interaction course. It contains 4 parts testing students' knowledge of HCI concepts and principles. Part 1 has 6 true/false questions worth 1.5 points each about system design and interface factors. Part 2 contains 8 multiple choice questions worth 2 points each related to HCI influences, usability, and interaction terms. Part 3 requires discussing the importance of HCI for e-business systems, describing 4 interaction styles, explaining human characteristics for design, and differentiating between slips and mistakes as human errors. The exam is out of a total of 35% and covers a range of foundational HCI topics.
Expert Systems are computer programs that use knowledge and inference procedures to solve problems that normally require human expertise. They are designed to solve problems at an expert level by accessing a substantial knowledge base and applying reasoning mechanisms. Typical tasks for expert systems include data interpretation, diagnosis, structural analysis, planning, and prediction. Expert systems consist of a knowledge base, inference engine, user interface, knowledge acquisition system, and explanation facility. The inference engine applies rules and reasoning to the knowledge base to solve problems. Knowledge acquisition involves eliciting expertise from human experts to build the knowledge base.
The document discusses search strategies in artificial intelligence. It defines key terms like search space, start state, goal test, and search tree. It describes properties of search algorithms like completeness, optimality, time complexity, and space complexity. It differentiates between uninformed searches, which do not use domain knowledge, like breadth-first search and depth-first search, and informed searches, which use heuristics to guide the search more efficiently, like greedy search and A* search. The document outlines the differences between informed and uninformed searches.
The document discusses expert systems, which are computer programs that emulate human decision making. An expert system consists of two main parts: the inference engine, which reasons about knowledge like a human, and the knowledge base, which contains the variable information. Inference can proceed through forward chaining or backward chaining. The document also discusses knowledge representation techniques and the roles of knowledge workers and knowledge work systems.
The Checkout and Order Process
Let us take a look at the stages involved in its order process:
1. Select products to purchase
2. Detailed basket displayed on side of each page
3. Authentication:
Login
Register
Do nothing—already logged in
4. Select delivery address
5. Select delivery method
6. Select gift wrapping
Useful features:
Gift wrapping: The customer can choose to have their order gift wrapped, useful for sending it direct to a recipient
Flexibility to choose delivery address: This makes it really easy for customers to have orders sent to different addresses
Tracking of payment history: On the payment page, the previously used card is recorded
Useful features:
Gift wrapping: The customer can choose to have their order gift wrapped, useful for sending it direct to a recipient
Flexibility to choose delivery address: This makes it really easy for customers to have orders sent to different addresses
Tracking of payment history: On the payment page, the previously used card is recorded
The document discusses different techniques for handling deadlocks in computer systems, including deadlock prevention, avoidance, detection and recovery, and ignorance. Deadlock prevention uses strict resource ordering or timeouts to avoid deadlock situations. Deadlock avoidance uses algorithms like the banker's algorithm or wait-for graphs to detect potential deadlocks and prevent resource allocations that could lead to deadlocks. Deadlock detection and recovery periodically checks for deadlocks using resource allocation graphs or timeouts, terminating processes to resolve any deadlocks found. Deadlock ignorance simply ignores deadlocks, assuming they will resolve on their own over time.
This document discusses building a next word prediction model using deep learning methods like LSTMs. It will take text as input, preprocess and tokenize the data, then build a deep learning model to predict the next word based on the previous words. Simple word prediction models use n-grams to calculate conditional word probabilities based on occurrence counts from text corpora. Bigram and trigram models are discussed as ways to predict the next word based on the previous one or two words in a sequence.
Tools are available to help implement data warehouses and include tools for data transformation, movement, querying, reporting, and analysis. These tools may come from different vendors and use different approaches, so it is important to select tools that are compatible and can share metadata. Key tools include those for data aggregation, visualization, querying, application development, executive information systems, online analytical processing, and data mining.
European Commission plan for regulating artificial intelligence in the Europe...Δρ. Γιώργος K. Κασάπης
The proposal, published by the European Commission, establishes technical and ethical standards that would influence the development and use of AI in health care and other industries.
The rules call for strict enforcement of data quality and requirements that AI developers take steps to eliminate bias in their algorithms. Among the provisions that caught our eye:
•AI systems should be audited to examine the quality of data used to train AI products, as well as how it was gathered and selected, to determine whether adequate steps were taken to ensure algorithms are free of bias.
•In cases where data provenance could not be adequately vetted, AI systems may have to be re-trained on European data using the EU’s quality standards.
•Human oversight of an AI’s conclusions would be required when individual rights or safety are at risk. In such situations, patients would also need to be informed that AI systems were being used.
We work in turning Data into Wisdom for the convenience of all care stakeholders involved into our integrated and interdependent system. We will surely follow EU AI Guiding Principles…….
1. The document discusses how ICT can help address the challenges of an aging population and increasing urbanization by creating smarter, more elderly-friendly cities. It describes several EU projects using technologies like IoT, big data, and mobile health to promote independent living, healthcare access and social engagement for elderly citizens.
2. Key enablers for ambient assisted living include collecting data from diverse sources, analyzing it to gain insights and using IoT to connect people and things. Personal devices are increasingly being used for health tracking and quantified self.
3. The EU funds R&D projects focused on managing health/care, innovating healthcare systems, and ICT solutions for active aging. Examples provided are the BigO
This document provides an overview of ICT-related activities funded under the Horizon 2020 Work Programme for 2016-2017. Key areas covered include Future and Emerging Technologies, e-Infrastructures, Leadership in Enabling and Industrial Technologies (focusing on ICT), and Societal Challenges (including the use of ICT for health). Specific topics are outlined relating to innovation in SMEs, cross-cutting activities, the SME instrument, and using ICT to address challenges like active aging and personalized healthcare. The document concludes with contact information for those interested in Horizon 2020 funding opportunities.
This document discusses cybersecurity challenges and approaches. It notes that cybersecurity is a multifaceted and multidisciplinary field involving technology, people, information, and processes. It also discusses the importance of cybersecurity given the large number of cyber attacks and data breaches. The document outlines some of the technical vulnerabilities that can arise, including issues related to availability, integrity, confidentiality of data and systems. It also briefly discusses future trends like the Internet of Things that may generate new security concerns. Overall, the document provides an overview of the nature of cybersecurity challenges and the multifaceted approaches needed to address those challenges.
The document summarizes the ARTEMIS Spring Event 2013 in Brussels. It discusses the role of ARTEMIS in representing industry and funding collaborative research projects. Projects may receive between 2.5-59 million Euros and involve partners from 8-56 countries. Key topics discussed include smart systems, embedded systems, Internet of Things, eHealth and more. Success stories were highlighted from projects in areas like phone connectivity. Presentations were given on initiatives like Arrowhead and CESAR for safety-critical systems. The event emphasized the importance of communication, collaboration and building a sustainable innovation ecosystem through ARTEMIS funding.
Governing algorithms – perils and powers of ai in the public sector1(1)PanagiotisKeramidis
This document summarizes a presentation on governing algorithms and AI in the public sector. It discusses:
1. The emerging benefits and risks of using AI in the public sector, such as improving services but also risks of discrimination and lack of transparency.
2. The challenges of governing AI in three ways: governance "of" AI by introducing it properly, "with" AI by ensuring humans remain in control, and "by" AI by addressing risks if humans fully rely on AI decisions.
3. Lessons learned about avoiding potential dystopian outcomes by adopting a public value perspective, handling disruption, and designing new governance models for AI-enabled services.
Day 2 C2C - USAASA Engaging Africa's YouthMyles Freedman
Lumko Mtimde, CEO of USAASA, presented on engaging Africa's youth through digital opportunities. The presentation outlined USAASA's legislative mandate to promote universal access and service. It discussed national policies like the NDP, New Growth Path, and SIP 15 that aim to expand ICT infrastructure and access. The presentation noted youth face high unemployment and described how ICTs can create jobs in sectors like agriculture, health, and offshore services. It explained South Africa's SA Connect strategy to improve broadband accessibility and affordability. The presentation concluded by describing USAASA's initiatives to provide digital skills training and integrate ICTs in education to develop youth for employment and entrepreneurship opportunities in the digital economy.
Take stock of emerging uses of ICT across sectors and of good practices in Africa and in other countries, including how ICTs are changing business models in strategic sector of Agriculture.
Introduction:
Context: societal urbanization and ageing
Interdependence analysis: Ambient Assisted Cities
ICT & Social Innovation leading towards Smarter Cities
Technologies for enablement of Smarter Cities:
Internet of Things
Web of Data
Crowdsourcing
Building Smarter Cities
Broad Data Analysis Tools
European projects about Smarter Ambient Assisted Cities
Conclusion
Safety and health at work is important for both individuals and businesses. The European Agency for Safety and Health at Work (EU-OSHA) collects and shares information to support safety and health, but does not create laws or enforce compliance. Digital technologies are advancing rapidly and transforming work, with opportunities and challenges for occupational safety and health. EU-OSHA is studying how jobs and risks may change from automation, remote work, new business models, and other digital impacts to help anticipate emerging issues.
This document discusses the needs of European cities for Internet of Things (IoT) and data marketplaces. It summarizes an example project called CITYkeys that focused on performance measurement and involved cities in the process. It also discusses the creation of a data management task group and the importance of data access, availability, and usability for efficient city management. Finally, it outlines 10 principles from EUROCITIES around citizen data use, privacy, transparency, sharing, quality, and more.
The document discusses the relationship between artificial intelligence (AI) and diplomacy, highlighting several key points:
1) Relations between AI and diplomacy are complex, involving issues of national security, economic competition, ethics, and international cooperation.
2) Diplomats and policymakers must navigate these intricacies to maximize the benefits of AI while mitigating potential risks and challenges on the global stage.
3) Publicly funded open research can serve as a diplomatic tool to promote fair and equitable AI development internationally through cooperation and knowledge sharing.
The Internet of Things 2012 - New HorizonLittle Daisy
This document discusses the future of the Internet of Things (IoT) and calls for responsible innovation. It notes that IoT has the potential to benefit citizens but also raises privacy and ethical concerns. It argues that IoT should empower all people, not just large corporations, and calls for public-private partnerships to develop IoT technologies that enhance innovation, entrepreneurship, and user empowerment while ensuring privacy, security and social responsibility. The document emphasizes that a strategic global approach is needed over several years to maximize IoT's benefits for society in areas like smart cities and pollution control.
E-Government and E-Health Strategies by Mrs. Veronica Boateng,Director, Application Systems Ghana Information and Communications Technology Directorate (GICTeD)
Webinar: Why risk managers should look at Artificial Intelligence now?FERMA
Risk Managers can be key actors in highlighting to the organisation leadership the opportunities and challenges of AI technologies
On 19 May, the objective of this webinar was to discuss:
How AI can be implemented into the risk management practices?
Which opportunities is AI creating for better risk management?
What are the highlights of the European Commission’s risk-based approach to Artificial Intelligence?
Speakers were:
Philippe Cotelle, Head of Insurance Risk Management at Airbus Defence and Space and FERMA Board member, will highlight the key findings from FERMA’s report on “AI applied to Risk Management”.
Irina Orssich and Eric Badiqué are both working for the European Commission as Team leader and Adviser for Artificial Intelligence in the Unit for Technologies and Systems for Digitising Industry. They will present the Commission’s White Paper on AI and the other EU initiatives which aim at strengthening the EU legal framework regarding AI applications, especially in the field of privacy.
This document provides an introduction to a research proposal that will study the impact of disruptive autonomous, shared, and connected technologies on mobility in the United Kingdom by 2030. It outlines the need for the research, reviews relevant global trends and literature, and defines key terms. The research aims to study how principal-agent relationships influence the diffusion of these technologies in the UK mobility environment over the next decade. It will utilize secondary data and independent analysis to assess claims made in consultative reports regarding potential economic and social impacts.
EU'S Ethics Guidelines for Trustworthy AI 2019ELSE CORP
Artificial Intelligence (AI) is one of the most transformative forces of our time, and is bound to alter the fabric of society.
This working document constitutes a draft of the AI Ethics Guidelines produced by the European Commission’s High-Level Expert Group on Artificial Intelligence (AI), of which a final version is due in March 2019. Trustworthy AI has two components: (1) it should respect fundamental rights, applicable regulation and core principles and values, ensuring an ethical purpose” and (2) it should be technically robust and reliable since, even with good intentions, a lack of technological mastery can cause unintentional harm.
Professor Isam Shahrour Summer Course « Smart and Sustainable City » Chapter...Isam Shahrour
This lecture presents the Smart City Concept. It includes presentation of the city challenges, the response of the Smart City to these challenges, the Smart City concept, a survey of the smart city development in the world and the methodology of the implementation of this concept.
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This document outlines a statement on the purpose of corporations signed by over 180 CEOs. It argues that corporations play a vital role in the economy by creating jobs, innovating, and providing goods and services. While each company serves its own purpose, the CEOs share a commitment to delivering value to customers, investing in employees, dealing fairly with suppliers, supporting communities, and generating long-term shareholder value. The CEOs commit to delivering value to all stakeholders for the future success of their companies and the country.
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Strategy - Romania in the era of Artificial Intelligence - RBL&RePatriot
1. Romania in the era of
Artificial Intelligence
A strategy for the development and adoption of AI
technology at a country level
1
2. Preamble
2
Artificial Intelligence (AI) deals broadly with designing intelligent computer
systems, i.e. systems able to perform complex tasks that normally require human
intelligence. The rapid development of the field in the last decade and its impact
indicate its strong potential to generate a technological revolution in the near
future, with implications in every sector of activity: healthcare, education,
mobility, public administration, social services, workplace organisation, business
administration, social interactions, entertainment and more.
Although the benefits of using AI technologies to enhance people’s lives and gain
economic growth are significant, they can also cause major disruptions, such as
increased economic divide between countries or between social strata,
restructuring of the job market due to automation, violation of (data) privacy
because of intrusive technologies, and others.
In order to maximise the benefits while mitigating the associated risks, it is
paramount that the development and adoption of AI is strategized at a country
level, such that all the stakeholders are correctly identified and their efforts are
coordinated in a way that guarantees that the wellbeing of all citizens is
prioritised.
This document identifies the stakeholders relevant for Romania and presents a
recommended roadmap that they should follow to develop and adopt AI
technologies at a country level and in agreement with the directives of the
European Union regarding ethics of AIadoption.
4. Our vision:
growth
knowledge
Grow responsibly through knowledge
Romania to enhance Romanian people’s lives through AI
technology, while becoming an active major contributor to
the European and global AI ecosystem.
responsibility
community
4
5. Mission
Increase the quality of people’s lives and obtain significant economic boost
through the development and adoption of AI technologies at a country level, while
respecting and reflecting human ethical values, as emphasised in the EU
guidelines for AI adoption. At the same time, make Romania an active partner and
contributor at the European and global level, by developing original projects to
benefit the local region, Europe and the entire world.
To achieve the objectives set above, all the relevant sectors in Romania - private,
public and academic - must join efforts and create an optimal framework that
ensures:
● the creation, attraction, and retention of AI talent in Romania;
● the development of innovative concepts, methods, and solutions through AI
research;
● the industrialization of AI research ideas;
● the proactive and effective adoption of AI solutions to generate growth and
meet people’s needs;
● the efficient collection of data enabling the development of AI solutions.
All these objectives must be followed through a human-centric approach to
guarantee that the development and adoption of AI has maximal positive impact
on the future of work and wellbeing of the Romanian people and that it will reflect
human ethical values in line with the international community.
create, attract, and retain AI Talent
develop novel solutions through AI research
key
actions
turn AI research ideas into products / services
regulate to enable adoption of AI-based solutions
collect data & facilitate access to data
5
6. Strategic directions
1. AI Talent: develop educational programs on AI to create talent; prioritise
funding for AI projects (fundamental research, start-ups) that would attract
and retain people with AI skills; support events and initiatives that
strengthen and connect the local AIcommunities.
2. AI Research & Development: create frameworks to facilitate collaboration
between academia and industry on AI research projects; joint private and
public funding for research in AI; align the local research community to the
international standards.
3. Industrialization: create incubators / start-up / digital sandbox / accelerators
to support fast transition from research ideas to products
4. Education in STEM and Future of work: conduct impact studies on the
changes brought by AI development and adoption on the job market. Adapt
the education system and put a focus on STEM disciplines to prepare the
next generations for these potential changes. Inform and educate the
population about the potential of AI.
5. Data: legal framework for data collection and sharing; facilitate the
development of infrastructure for data collection and sharing; ensure
privacy, security of private information and protection against data misuse.
6. European and international cooperation: promotion and sync of Romanian
interests with EU priorities and global challenges. Collaboration with CLAIRE
and ELLIS organizations.
7. Regulation: develop proper regulation that facilitates AI adoption at national
level, with a focus on boosting public procurement and public-private-
academic partnerships, as well as on ensuring customer protection and
cyber security; democratization of access to AI development and
deployment capabilities/ resources/ services.
8. Ethics: ensure ethical, security, and safety considerations are taken into
account in the development and adoption of theAI technology.
6
7. Impacted domains
1. Agriculture & Environment
Agriculture is one of Romania’s main sectors of activity, with an agricultural
capacity of 14.7 million hectares, and contributing about 6% of GDP.
Approximately 3 million people (almost 30% of Romania’s workforce) are
employed in agriculture.
However, the agricultural capacity is heavily underexploited (about 6.8 million
hectares are not used), due to obsolete technology, fragmentation and erosion of
soil, desertification, and difficulty in accessingfunds.
Using AI-based systems within a properly regulated framework has a significant
potential for agriculture, to counteract the aforementioned issues. Examples of
promising projects:
- Weather forecasts
- Autonomous machines (tractors, agribots, drones)
- Enhanced analytics on collected data (soil sensors, connected livestock)
- Precision agriculture
- Wildlife and forest monitoring (including illegal activities)
- Prediction and/or rapid response in case of events of environmental impact
- Waste management monitoring
- Smart automatic control of irrigation systems
7
8. Impacted domains
2. Healthcare
Health is the main factor influencing the wellbeing of the people, hence it
represents a central priority for this strategy. The increase in the percentage of
aging population and the decrease in density of medical doctors per capita, put
healthcare at the top of priorities for Romania.
AI technologies have a tremendous potential to improve access to healthcare
services and the services themselves, through projects such as:
- Enhanceeffectivenessof preventionprogrammes
- Education andtraining ofhealthcare professionals
- Support doctors in diagnosis and treatment
- Monitoring of chronic diseases
- Research
- Facilitate access to diagnosis and treatmentfor rare diseases
- Improve management of public healthcare system
- Intelligent bots to assist medical personnel and patients for timely access to
information
8
9. Impacted domains
3. Education
Romania’s future depends on the education system available to young
generations. The obsolete methods used in teaching combined with the poor
training of teachers lead to concerning percentages of functional analphabetism
in Romania, especially in rural areas. AI technologies have the potential to
revolutionise the education system through projects such as:
- Personalised content presentation, evaluation andfeedback
- Classes augmented with AR & VRtechnologies
- Recommendations for further studying and curation ofcontent
- Enhanced blended learning through AI
- Gamification concepts implemented through AI technology
9
10. Impacted domains
4. Infrastructure and Smart City
Romania’s infrastructure has been slowly improving but is far behind other
European countries. Utilizing the existing infrastructure optimally while at the
same time accelerating the process of improving the existing infrastructure is key
for Romania to be able to enhance its production and improve people’s wellbeing.
There is a huge potential to employ AI technology for:
- Autonomous driving for personal cars
- Autonomous driving for transportation of goods
- Scheduling and tracking of goods
- Smart traffic lights
- Timetable prediction for public transportation
- Scheduling and automation of public transport
- Smart sensors for irrigation in urban areas
10
11. Impacted domains
5. Energy production and distribution
Romania has a balanced electricity mix, with coal, hydropower, natural gas,
nuclear energy, and wind power having comparable shares of capacity and power
generation. However, almost all units are fairly old. Improving maintenance of
existing infrastructure is crucial. AI could have a positive impact in the sector
through projects such as:
- Better estimates of available resources of petrol and gas to inform
exploitation and storage decisions;
- Predict machines and equipment load using smart sensors for better
maintenance.
11
12. Impacted domains
6. Manufacturing
AI has the potential to increase automation and improve productivity in
manufacturing by exploring the following directions:
- Improve digitization of manufacturing (e.g. image processing for
transitioning old model formats to new digital support).
- Defect & fault detection via image processing.
- Production demand forecasting for reduced production waste.
- Improved product development using data science for obtaining insights
from usage data.
12
13. Impacted domains
13
7. IT services, Business administration, Banking, Insurance, Financial
Services, and Cybersecurity
Romania, similar toother Eastern European countries, hasalargeIT and customer
services sector, oriented mostly to the outsourcing market, rather than
productization. AI technology can improve the efficiency and quality of these
services. These could include:
- NLP tools to improve quality and efficiency of communication in written
form (e.g. access to information, smart autocomplete, or automated
information retrieval, automated categorization, etc.);
- Speech recognition and speech-to-text to transcribe audio to text,
categorize or prioritize;
- Automation of tasks using smart chatbots.
8. E-government and public administration
- Improve customer interactions e.g. via relying on modern NLP tools
- Chatbots
9. Tourism, travel, and entertainment
- Recommender systems
- Smart customer support
- Information retrieval
10. National security and defense, cybersecurity
14. 14
Existing projects related to AI
Research & Development
- Academia (Institutes of the Romanian Academy: RACAI, IMAR)
- Private sector (companies, RIST)
Education and research dissemination
EEML summer school and workshops SSIMA Medical summer school
- Started in 2018 - Started in 2015
- Organised by Romanian researchers - Organised by UPB and international
from abroad and Romania researchers
- Targeting Eastern European
countries
Recent Advances in AI conference
- Started in 2017;
- Organiser: University of Bucharest
- https://conferences.unibuc.ro/raai2019/
Master and doctoral programs in AI
- UB, UPB, UPT (coming soon), Iași (coming soon)
15. 15
Proposed projects related toAI
Education
Project title Teach the teachers
Motivation Several countries and education institutions have stressed the
need for AI education (Basics of Machine Learning and
Robotics) to start early on in the education programs, i.e.
before university.
Description Create a training program in Romania for high-school teachers
from all over Europe to provide them with the basic
knowledge and skills of AI, with the goal of enabling AI
education before university.
Requirements Location equipped with modern lecture rooms and
laboratories
Cloud compute resources
Team of international experts delivering the lectures and
practical sessions
Why in
Romania
Cost effective due to lower cost of living in Romania
Modern buildings available in universities
Bucharest airport is well connected
Contribute to develop the EE region
Stakeholders Education institutions (high-schools)
Funding European, private
16. 16
Proposed projects related toAI
Education
Project title International Master’s program
Motivation Democratization of education in AI is becoming a priority
within the AI research community. Moreover, many Romanian
experts from abroad are keen to support the local education
system. A 1.5 years Master’s program can have a significant
impact, in a limited amount of time.
Description Create a Master’s program in a Romanian university with
lectures given by international and local experts. Ensure high
standards that will create and attract AItalent.
Requirements Location equipped with modern lecture rooms and
laboratories
Cloud compute resources
Framework for setting up such a program
Team of international experts delivering the lectures and
practical sessions
Why in
Romania
Cost effective due to lower cost of living in Romania
Modern buildings available in universities
Bucharest airport is well connected
Develop the EE community
Stakeholders Romanian Universities
Funding Mainly private
17. 17
Proposed projects related toAI
Education
Project title Industry-funded chairs in ML for Romanian Universities
Motivation AI-skilled experts are highly valued in the job market and it is
becoming increasingly difficult for universities to compete
with giant companies in hiring experts, due to limited
resources. However, even one expert per university, growing a
team of researchers and PhD students around him/her, can
have a significant impact and boost the Romanian research in
AI.
Description Create a framework for companies to fund positions in
universities for AI experts to teach and lead research groups.
Aligned metrics with international standards including focus
on research.
Requirements Competitive funding
Cloud computeresources
Regulation for such a framework
Why in
Romania
Romania has great potential in STEM disciplines, but currently
it lacks experts to mentor and lead research teams
Stakeholders Romanian Universities
Funding Mainly private
18. 18
Proposed projects related toAI
Research & Development
Project title ML-ELI Machine Learning for High Power Lasers
Motivation Magurele Laser is the highest power laser in the world, and has
a great potential to enable high impact biomedical
technologies. Creating a European team of machine learning
researchers at Magurele around the experts in the field could
accelerate progress significantly in the area of high power
physics.
Description Create a European Machine Learning Research team around
the Magurele Laser
Requirements Location equipped with modern infrastructure
Cloud compute resources
Team of international ML experts with interest in high-power
physics
Why in
Romania
Efficient combination of domain knowledge and ML expertise
Modern facilities available due to European funding
Contribute to develop the EE region
Stakeholders Romanian Research Institutions
Funding European
19. 19
Proposed projects related toAI
Research & Development
Project title ML for Agriculture
Motivation Agriculture is a vital sector for Romania. However its resources
are not utilized in an efficient and sustainable manner. The
project focuses on bringing AI technology to improve
monitoring of these resources and hence lead to better
informed decision.
Description Create a network of sensors to collect data monitoring natural
resources such as wildlife, fish, forests, as well as status of
crops around the country.
Provide a framework for utilizing the data to build systems able
to predict events of interest from the data. Use change
detection for tracking illegal activities related todeforestation.
Requirements Location equipped with modern infrastructure
Cloud compute and cloud storage
Deployment of sensors in order to collect data
Regulation regarding data collection and access
Team of experts to provide tools to process the data
Why in
Romania
Important problem for Romania’s economy and workforce
Romania isheavily under-utilizing its capacity in this domain
Stakeholders Romanian agriculture sector
Funding Private, Public, European
20. 20
Proposed projects related toAI
Research & Development
Project title A (AI) doctor for every village
Motivation Romania has a very low density of medical personal per capita.
This is particularly true in the rural areas. This project could be
relevant for other European countries dealing with isolated
rural areas and aging population.
Description AI-based system that helps to triaje and automate simple
medical diagnosis that can be provided in any village. The
system can include speech synthesis and rely on audio input.
The system should integrate information in a centralized
manner, allowing supervision by qualified personnel which can
intervene or recommend the patient to be seen by a doctor.
Requirements Team of medical experts and ML experts to set up the system
Secure and trustworthy cloud compute and cloud storage
Domain experts that can intervene if necessary
Regulation regarding processing and storage of sensitive data
Why in
Romania
Lack of medical personnel
Stakeholders Civil society
Funding Public, Private, European
21. 21
Proposed projects related toAI
Research & Development
Project title Romanian corpus of text and speech
Motivation A large number of services could be improved in Romania
using intelligent chatbots operating in writing or spoken
language. Toproduce maximal impact, these should be trained
on a large Romaniancorpus.
Description Collect and gather Romanian text and spoken language from
various sources (customer service support conversations,
books, wikipedia Romanian version etc.)
Requirements Regulation regarding processing and storage of potentially
sensitive data (e.g. medical)
Why in
Romania
Most of the existing corpora for NLP are in English, so most of
the AI-based tools are sub-optimal when applied for
Romanian.
Stakeholders Research institutions
Funding Public, Private, European