Slides from my talk on cryptoeconomics at @hasgeek. I primarily talk about design and analysis of blockchain based systems and how to design the protocol to achieve the system goal.
World's First Core Banking AI Bot, built on IBM Watson and IBM Core Banking Transaction technologies.
The first AI Bot designed for actual Banking Transactions.
Supports both commercial and business banking.
Choosing a communication platform is an important decision. From simple two-way communication to complex multi-node architectures, ZeroMQ, the embeddable networking library, helps provide a safe, fast and reliable communication medium.
This webinar will give you an overview of the ZeroMQ architecture, explaining the advantages and exploring usage patterns and cross-platform capabilities. We'll also go through examples of the patterns using different languages, including C++, Swift, Python and C.
Introducción a los distintos workflows de git: Gitflow, Github flow, Gitlab flow y Trunk Based Development. Particularidades, ventajas e inconvenientes de cada uno para saber cómo elegir el que mejor se adapte a tu equipo.
Les variables, telles que nous les avons vues dans les chapitres précédents, ne permettent de stocker qu'une seule donnée à la fois. Or, pour de très nombreux programmes, on a besoin d'avoir plusieurs données du même type et qui jouent quasiment le même rôle. Pensez par exemple à la liste des utilisateurs d'un site web, cela représente plusieurs variables de type string.
L’utilisation des variables distinctes, dans ce cas, seraient beaucoup trop lourdes à gérer. Heureusement, le C++ propose un moyen simple de regrouper ces données dans un seul support. Il s’agit des tableaux.
Les tableaux sont des structures de données constituées d'un certain nombre d'éléments de même type. Ils correspondent aux vecteurs et matrices en mathématiques. Un tableau est caractérisé par sa taille et par le type de ses éléments.
Dans ce chapitre, je vais vous apprendre à manipuler deux sortes de tableaux :
Les tableaux statiques : ceux dont la taille est connue à l'avance, elle est donc figée une fois pour toute et ne peut pas être modifiée en cours d'exécution du programme.
Les tableaux dynamiques : ceux dont la taille peut varier au cours de l'exécution du programme.
Les chaînes de caractères sont déclarées en C++ comme tableaux de caractères et permettent l'utilisation d'un certain nombre de notations et de fonctions spéciales. Les particularités des tableaux de caractères seront traitées séparément à la fin de ce chapitre.
Transactions work by spending outputs from previous transactions as inputs. A transaction contains inputs which reference the specific outputs being spent, and outputs which send funds to new addresses. If the input amount is greater than the output amount, the difference is considered a transaction fee paid to miners. Transactions often include a change output that returns unspent funds back to an address controlled by the sender. Wallets track unspent transaction outputs and can combine multiple UTXOs as inputs to a new transaction if a single UTXO does not cover the full amount being sent. Signatures in the transaction prove the sender owns the inputs and authorize spending them.
In the presentation Titled " Bitcoin and Ransomware Analysis " we discuss ransomware and how bitcoin are being utlised in cyber crime. we also have look at Bitcoin mining, trading and block chain concept.
Chatbot and Virtual AI Assistant Implementation in Natural Language Processing Shrutika Oswal
In this presentation, I have given a short overview of hot recent topics of research in artificial intelligence. These topics include Gaming, Expert System, Vision System, Speech Recognition, Handwriting Recognition, Intelligent Robots, Machine Learning, Deep Learning, Robotics, Reinforcement Learning, Internet of Things, Neuromorphic Computing, Computer Vision and most important NLP (Natural language Processing). Here I have mentioned different fields and components of NLP along with the steps of implementation. In the further part of the presentation, I have described the general structure of chatbot in NLP along with its implementation algorithm in python language. Also, I have given some informative descriptions, technologies, usage, and working of virtual AI assistants along with this I implemented one virtual assistant for laptop who will able to perform some interesting tasks.
World's First Core Banking AI Bot, built on IBM Watson and IBM Core Banking Transaction technologies.
The first AI Bot designed for actual Banking Transactions.
Supports both commercial and business banking.
Choosing a communication platform is an important decision. From simple two-way communication to complex multi-node architectures, ZeroMQ, the embeddable networking library, helps provide a safe, fast and reliable communication medium.
This webinar will give you an overview of the ZeroMQ architecture, explaining the advantages and exploring usage patterns and cross-platform capabilities. We'll also go through examples of the patterns using different languages, including C++, Swift, Python and C.
Introducción a los distintos workflows de git: Gitflow, Github flow, Gitlab flow y Trunk Based Development. Particularidades, ventajas e inconvenientes de cada uno para saber cómo elegir el que mejor se adapte a tu equipo.
Les variables, telles que nous les avons vues dans les chapitres précédents, ne permettent de stocker qu'une seule donnée à la fois. Or, pour de très nombreux programmes, on a besoin d'avoir plusieurs données du même type et qui jouent quasiment le même rôle. Pensez par exemple à la liste des utilisateurs d'un site web, cela représente plusieurs variables de type string.
L’utilisation des variables distinctes, dans ce cas, seraient beaucoup trop lourdes à gérer. Heureusement, le C++ propose un moyen simple de regrouper ces données dans un seul support. Il s’agit des tableaux.
Les tableaux sont des structures de données constituées d'un certain nombre d'éléments de même type. Ils correspondent aux vecteurs et matrices en mathématiques. Un tableau est caractérisé par sa taille et par le type de ses éléments.
Dans ce chapitre, je vais vous apprendre à manipuler deux sortes de tableaux :
Les tableaux statiques : ceux dont la taille est connue à l'avance, elle est donc figée une fois pour toute et ne peut pas être modifiée en cours d'exécution du programme.
Les tableaux dynamiques : ceux dont la taille peut varier au cours de l'exécution du programme.
Les chaînes de caractères sont déclarées en C++ comme tableaux de caractères et permettent l'utilisation d'un certain nombre de notations et de fonctions spéciales. Les particularités des tableaux de caractères seront traitées séparément à la fin de ce chapitre.
Transactions work by spending outputs from previous transactions as inputs. A transaction contains inputs which reference the specific outputs being spent, and outputs which send funds to new addresses. If the input amount is greater than the output amount, the difference is considered a transaction fee paid to miners. Transactions often include a change output that returns unspent funds back to an address controlled by the sender. Wallets track unspent transaction outputs and can combine multiple UTXOs as inputs to a new transaction if a single UTXO does not cover the full amount being sent. Signatures in the transaction prove the sender owns the inputs and authorize spending them.
In the presentation Titled " Bitcoin and Ransomware Analysis " we discuss ransomware and how bitcoin are being utlised in cyber crime. we also have look at Bitcoin mining, trading and block chain concept.
Chatbot and Virtual AI Assistant Implementation in Natural Language Processing Shrutika Oswal
In this presentation, I have given a short overview of hot recent topics of research in artificial intelligence. These topics include Gaming, Expert System, Vision System, Speech Recognition, Handwriting Recognition, Intelligent Robots, Machine Learning, Deep Learning, Robotics, Reinforcement Learning, Internet of Things, Neuromorphic Computing, Computer Vision and most important NLP (Natural language Processing). Here I have mentioned different fields and components of NLP along with the steps of implementation. In the further part of the presentation, I have described the general structure of chatbot in NLP along with its implementation algorithm in python language. Also, I have given some informative descriptions, technologies, usage, and working of virtual AI assistants along with this I implemented one virtual assistant for laptop who will able to perform some interesting tasks.
Blockchain in Banking, Business and BeyondMichael Novak
An introduction to Blockchain, Smart Contracts, and use cases in industries such as Digital Identification, eCommerce, Healthcare, Government, and Finance.
This document discusses testing strategies for chatbots like Bumblebee. It recommends using a mixture of manual and automated testing techniques. For manual testing, it suggests crowd testing without predefined rules to allow exploratory testing, as well as A/B testing. Automated testing should include regression, functional, conversation flow, smoke, and load tests. The test framework mentioned is Jest with a fluent interface using promises. Verification focuses on building functionality correctly while validation focuses on meeting requirements.
Selection of the optimal parameters for machine learning tasks is challenging. Some results may be bad not because the data is noisy or the used learning algorithm is weak, but due to the bad selection of the parameters values. This presentation gives a brief introduction about evolutionary algorithms (EAs) and describes genetic algorithm (GA) which is one of the simplest random-based EAs. A step-by-step example is given in addition to its implementation in Python 3.5.
---------------------------------
Read more about GA:
Yu, Xinjie, and Mitsuo Gen. Introduction to evolutionary algorithms. Springer Science & Business Media, 2010.
https://www.kdnuggets.com/2018/03/introduction-optimization-with-genetic-algorithm.html
https://www.linkedin.com/pulse/introduction-optimization-genetic-algorithm-ahmed-gad
This document discusses the graph coloring problem. Graph coloring involves assigning colors to vertices of a graph such that no adjacent vertices have the same color. The document specifically discusses the M-coloring problem, which involves determining if a graph can be colored with at most M colors. It describes using a backtracking algorithm to solve this problem by recursively trying all possible color assignments and abandoning ("backtracking") invalid partial solutions. The document provides pseudocode for the algorithm and discusses its time complexity and applications of graph coloring problems.
The document discusses how blockchain can enhance cyber security. It outlines several types of common cyber attacks and how blockchain could help address them. Blockchain could provide a decentralized storage medium, more secure DNS, and secure edge device authentication through identity verification. Additional benefits include distributing public keys, mitigating DDoS attacks, and verifying software downloads. The future of blockchain-based cyber security is promising as it ensures data privacy and security in a way that keeps pace with increasing cybercrime.
Fully Homomorphic Encryption allows computations to be carried out on encrypted data without decrypting it. It solves the problem of secure cloud computing by allowing a client to encrypt data and outsource storage and processing to an untrusted server. The presentation discusses additive and multiplicative homomorphic encryption schemes, including ElGamal and RSA. It also covers bootstrapping and applications to image processing tasks like resizing, compression, and decompression on encrypted images. A demonstration of these techniques is shown using the Pyfhel library. While promising for security, fully homomorphic encryption remains computationally expensive.
Blockchains and Smart Contracts: Architecture Design and Model-Driven Develop...Ingo Weber
The document discusses research conducted by Data61's Architecture and Analytics Platforms (AAP) team on blockchains and smart contracts. The research includes developing a taxonomy and design process for architecting applications on blockchain, comparing the cost of using blockchain versus cloud services for business process execution, using architectural modeling to predict latency for blockchain-based systems, and developing a model-driven approach to define and execute smart contracts for monitoring and executing collaborative business processes across untrusted organizations.
The document describes the backtracking algorithm and its application to solve the 8 queens problem. It provides an overview of backtracking as a general method for problems that search for solutions or require an optimal solution. It then gives a maze pathfinding problem as an example of a backtracking algorithm. The document outlines the recursive pseudo code for backtracking and applies it to the 8 queens problem, describing the problem and providing an algorithm to find all solutions by placing queens on an 8x8 chessboard without any attacking each other. It provides two examples of solutions to the 8 queens problem.
The document discusses problem solving agents and search algorithms. It defines a search problem as having an initial state, possible actions or operators that change states, a goal test to determine if a state is the goal state, and a path cost function. Search algorithms take a problem as input and systematically examine states by considering sequences of actions to find a lowest cost path from the start to a goal state. Different search techniques include methods that find any solution path, the lowest cost path, or methods that consider an opponent. Examples of search problems discussed are finding parking, the vacuum world problem, and the eight puzzle problem.
This document presents an agenda for a talk on Petri nets. It begins with an introduction to Petri nets that defines their structure, including places, transitions, tokens, and firing rules. It then discusses several analysis methods for Petri nets, including reachability trees, incidence matrices, and reduction rules. Next, it covers high-level Petri nets and colored Petri nets. The document concludes by mentioning an application of Petri nets to rumor detection and blocking in online social networks, and introduces orbital Petri nets as a promising approach.
Murughan Palaniachari presents information on blockchain concepts. He discusses how blockchain enables a decentralized future (Web 3.0) with distributed and individual ownership of data. Blockchain uses distributed ledgers and cryptography to securely record transactions in an immutable, transparent and verifiable way without centralized control. Key concepts covered include how blockchain works, the structure of blocks and blockchains, consensus mechanisms, smart contracts, and examples of blockchain use cases.
Memetic Learning
Philosophy Behind Memetics
Genetic Algorithm – Intuition and Structure
Memetic learning
meme
Memetic Algorithms
First generation MA
Second generation MA
Third generation MA
Solution of N Queens Problem with MA
Conclusion
(1) Dynamic programming is an algorithm design technique that solves problems by breaking them down into smaller subproblems and storing the results of already solved subproblems. (2) It is applicable to problems where subproblems overlap and solving them recursively would result in redundant computations. (3) The key steps of a dynamic programming algorithm are to characterize the optimal structure, define the problem recursively in terms of optimal substructures, and compute the optimal solution bottom-up by solving subproblems only once.
More info: https://blockchainhub.net/
Ethereum for Beginners: History of the Blockchain & Ethereum, Components, Outlook, Web 3.0, Serverless, Decetralized Universal World Computer
Chatbot technologies allow for conversational interfaces using artificial intelligence. Chatbots have evolved from simple script-based assistants to more advanced bots that can understand context, maintain histories of conversations, and collaborate with users. Chatbots work using natural language processing and databases to match user inputs with responses. They are used in messaging platforms, apps, websites, and more to provide information and services with many benefits like 24/7 availability but also challenges like limited capabilities. The future of chatbots includes more personalized and integrated experiences using artificial intelligence and connections to other technologies.
Bitcoin is a decentralized digital currency that allows people to transfer funds between each other without a central authority. It operates on a peer-to-peer network where transactions are verified by miners who are rewarded with bitcoins. While bitcoin offers anonymity and accessibility, it also faces security risks like theft and price volatility due to its limited supply and speculative nature. Whether bitcoin can replace traditional currencies as a stable store of value remains uncertain.
Backtracking is a general algorithm for finding all (or some) solutions to some computational problems, notably constraint satisfaction problems, that incrementally builds candidates to the solutions, and abandons each partial candidate c ("backtracks") as soon as it determines that c cannot possibly be completed to a valid solution.
Analysis & Design of Algorithms
Backtracking
N-Queens Problem
Hamiltonian circuit
Graph coloring
A presentation on unit Backtracking from the ADA subject of Engineering.
The document presents a taxonomy of Initial Coin Offering (ICO) processes developed through an empirical and conceptual research methodology. The taxonomy identifies four key dimensions of ICO processes: defining the market, determining token functionality and development, determining the token sales model, and user communication and engagement. It then provides examples of process characteristics within each dimension. The results show three common clusters of ICOs based on their goals and process characteristics: customer-centric service innovators, financial service innovators, and platform innovators. The taxonomy contributes a theoretical understanding of ICO processes and provides practical guidance for entrepreneurs conducting ICOs.
Blockchain in Banking, Business and BeyondMichael Novak
An introduction to Blockchain, Smart Contracts, and use cases in industries such as Digital Identification, eCommerce, Healthcare, Government, and Finance.
This document discusses testing strategies for chatbots like Bumblebee. It recommends using a mixture of manual and automated testing techniques. For manual testing, it suggests crowd testing without predefined rules to allow exploratory testing, as well as A/B testing. Automated testing should include regression, functional, conversation flow, smoke, and load tests. The test framework mentioned is Jest with a fluent interface using promises. Verification focuses on building functionality correctly while validation focuses on meeting requirements.
Selection of the optimal parameters for machine learning tasks is challenging. Some results may be bad not because the data is noisy or the used learning algorithm is weak, but due to the bad selection of the parameters values. This presentation gives a brief introduction about evolutionary algorithms (EAs) and describes genetic algorithm (GA) which is one of the simplest random-based EAs. A step-by-step example is given in addition to its implementation in Python 3.5.
---------------------------------
Read more about GA:
Yu, Xinjie, and Mitsuo Gen. Introduction to evolutionary algorithms. Springer Science & Business Media, 2010.
https://www.kdnuggets.com/2018/03/introduction-optimization-with-genetic-algorithm.html
https://www.linkedin.com/pulse/introduction-optimization-genetic-algorithm-ahmed-gad
This document discusses the graph coloring problem. Graph coloring involves assigning colors to vertices of a graph such that no adjacent vertices have the same color. The document specifically discusses the M-coloring problem, which involves determining if a graph can be colored with at most M colors. It describes using a backtracking algorithm to solve this problem by recursively trying all possible color assignments and abandoning ("backtracking") invalid partial solutions. The document provides pseudocode for the algorithm and discusses its time complexity and applications of graph coloring problems.
The document discusses how blockchain can enhance cyber security. It outlines several types of common cyber attacks and how blockchain could help address them. Blockchain could provide a decentralized storage medium, more secure DNS, and secure edge device authentication through identity verification. Additional benefits include distributing public keys, mitigating DDoS attacks, and verifying software downloads. The future of blockchain-based cyber security is promising as it ensures data privacy and security in a way that keeps pace with increasing cybercrime.
Fully Homomorphic Encryption allows computations to be carried out on encrypted data without decrypting it. It solves the problem of secure cloud computing by allowing a client to encrypt data and outsource storage and processing to an untrusted server. The presentation discusses additive and multiplicative homomorphic encryption schemes, including ElGamal and RSA. It also covers bootstrapping and applications to image processing tasks like resizing, compression, and decompression on encrypted images. A demonstration of these techniques is shown using the Pyfhel library. While promising for security, fully homomorphic encryption remains computationally expensive.
Blockchains and Smart Contracts: Architecture Design and Model-Driven Develop...Ingo Weber
The document discusses research conducted by Data61's Architecture and Analytics Platforms (AAP) team on blockchains and smart contracts. The research includes developing a taxonomy and design process for architecting applications on blockchain, comparing the cost of using blockchain versus cloud services for business process execution, using architectural modeling to predict latency for blockchain-based systems, and developing a model-driven approach to define and execute smart contracts for monitoring and executing collaborative business processes across untrusted organizations.
The document describes the backtracking algorithm and its application to solve the 8 queens problem. It provides an overview of backtracking as a general method for problems that search for solutions or require an optimal solution. It then gives a maze pathfinding problem as an example of a backtracking algorithm. The document outlines the recursive pseudo code for backtracking and applies it to the 8 queens problem, describing the problem and providing an algorithm to find all solutions by placing queens on an 8x8 chessboard without any attacking each other. It provides two examples of solutions to the 8 queens problem.
The document discusses problem solving agents and search algorithms. It defines a search problem as having an initial state, possible actions or operators that change states, a goal test to determine if a state is the goal state, and a path cost function. Search algorithms take a problem as input and systematically examine states by considering sequences of actions to find a lowest cost path from the start to a goal state. Different search techniques include methods that find any solution path, the lowest cost path, or methods that consider an opponent. Examples of search problems discussed are finding parking, the vacuum world problem, and the eight puzzle problem.
This document presents an agenda for a talk on Petri nets. It begins with an introduction to Petri nets that defines their structure, including places, transitions, tokens, and firing rules. It then discusses several analysis methods for Petri nets, including reachability trees, incidence matrices, and reduction rules. Next, it covers high-level Petri nets and colored Petri nets. The document concludes by mentioning an application of Petri nets to rumor detection and blocking in online social networks, and introduces orbital Petri nets as a promising approach.
Murughan Palaniachari presents information on blockchain concepts. He discusses how blockchain enables a decentralized future (Web 3.0) with distributed and individual ownership of data. Blockchain uses distributed ledgers and cryptography to securely record transactions in an immutable, transparent and verifiable way without centralized control. Key concepts covered include how blockchain works, the structure of blocks and blockchains, consensus mechanisms, smart contracts, and examples of blockchain use cases.
Memetic Learning
Philosophy Behind Memetics
Genetic Algorithm – Intuition and Structure
Memetic learning
meme
Memetic Algorithms
First generation MA
Second generation MA
Third generation MA
Solution of N Queens Problem with MA
Conclusion
(1) Dynamic programming is an algorithm design technique that solves problems by breaking them down into smaller subproblems and storing the results of already solved subproblems. (2) It is applicable to problems where subproblems overlap and solving them recursively would result in redundant computations. (3) The key steps of a dynamic programming algorithm are to characterize the optimal structure, define the problem recursively in terms of optimal substructures, and compute the optimal solution bottom-up by solving subproblems only once.
More info: https://blockchainhub.net/
Ethereum for Beginners: History of the Blockchain & Ethereum, Components, Outlook, Web 3.0, Serverless, Decetralized Universal World Computer
Chatbot technologies allow for conversational interfaces using artificial intelligence. Chatbots have evolved from simple script-based assistants to more advanced bots that can understand context, maintain histories of conversations, and collaborate with users. Chatbots work using natural language processing and databases to match user inputs with responses. They are used in messaging platforms, apps, websites, and more to provide information and services with many benefits like 24/7 availability but also challenges like limited capabilities. The future of chatbots includes more personalized and integrated experiences using artificial intelligence and connections to other technologies.
Bitcoin is a decentralized digital currency that allows people to transfer funds between each other without a central authority. It operates on a peer-to-peer network where transactions are verified by miners who are rewarded with bitcoins. While bitcoin offers anonymity and accessibility, it also faces security risks like theft and price volatility due to its limited supply and speculative nature. Whether bitcoin can replace traditional currencies as a stable store of value remains uncertain.
Backtracking is a general algorithm for finding all (or some) solutions to some computational problems, notably constraint satisfaction problems, that incrementally builds candidates to the solutions, and abandons each partial candidate c ("backtracks") as soon as it determines that c cannot possibly be completed to a valid solution.
Analysis & Design of Algorithms
Backtracking
N-Queens Problem
Hamiltonian circuit
Graph coloring
A presentation on unit Backtracking from the ADA subject of Engineering.
The document presents a taxonomy of Initial Coin Offering (ICO) processes developed through an empirical and conceptual research methodology. The taxonomy identifies four key dimensions of ICO processes: defining the market, determining token functionality and development, determining the token sales model, and user communication and engagement. It then provides examples of process characteristics within each dimension. The results show three common clusters of ICOs based on their goals and process characteristics: customer-centric service innovators, financial service innovators, and platform innovators. The taxonomy contributes a theoretical understanding of ICO processes and provides practical guidance for entrepreneurs conducting ICOs.
The document presents a taxonomy of Initial Coin Offering (ICO) processes developed through an empirical and conceptual research methodology. The taxonomy identifies four key dimensions of ICO processes: defining the market, determining token functionality and development, determining the token sales model, and user communication and engagement. It then provides examples of process characteristics within each dimension. The results show three common clusters of ICOs based on their goals and process characteristics: customer-centric service innovators, financial service innovators, and platform innovators. The taxonomy contributes a theoretical understanding of ICO processes and provides practical guidance for entrepreneurs conducting ICOs.
Blockchain Projects - Core Pillars of Shipping Product, Feb 2018🔗Audrey Chaing
Thinking about building a blockchain project? What are the top areas of concern to ensure a successful ICO? Learn from founders and investors, lawyers, engineers, and marketing experts. From a talk given at Team Block Society.
The document discusses various applications and improvements of blockchain technology beyond Bitcoin 1.0, including smart contracts, decentralized autonomous organizations, sidechains and counterparty. Ethereum is presented as a platform to build decentralized applications that allows for more transaction types beyond currency, including multi-signature transactions and creating your own currencies. It aims to be a scalable foundational protocol for other applications to utilize improved features like faster block confirmation times.
Instructor: Roger Royse, Founder of Royse Law Firm
Course Title: The Business Basics of Blockchain, Cryptocurrencies, and Tokens
Location: Stanford Continuing Studies
Week: 4 (of 7)
This class will shift will focus on the promise of smart contracts to provide cheap verification, reduce costs and automate many routine transactions. We will explain what a smart contract is (and what it is not), how it works and discuss where it can be implemented to the current economy. We will discuss the use of distributed applications built on the block chain and examine how Ethereum allows dApps to run. We will also look in depth at several dApps including Cryptokitties, Augur and Local Ethereum.
In this workshop, Blockchain Marketer Mitchell Loureiro and Designer Paulo Fonseca will help you understand how to use blockchains to design social systems that fuel themselves. You'll learn how to construct your very own decentralised organisation and how to devise an incentive system based on blockchain technology.
The video of this presentation with voice is available at youtube link https://youtu.be/kjdW61Wu_Nc.
This video is about what is a Blockchain. Many of IT professionals and even other individuals who are enthusiastic technologists wants to know about a technology . This video will help in understanding what is a Blockchain technology.
Video for this presentation is uploaded on the youtube channel link https://youtu.be/kjdW61Wu_Nc
This video is about what is a Blockchain. Many of IT professionals and even other individuals who are enthusiastic technologists wants to know about a technology . This video will help in understanding what is a Blockchain technology.
This document provides an introduction to blockchain concepts and applications for managers. It begins with an overview of blockchain basics like cryptography, consensus mechanisms, and mining. It then discusses major blockchain platforms like Bitcoin and Ethereum. Applications of blockchain discussed include cryptocurrencies, global payments, trade finance, and renewable energy tracking. The document emphasizes that blockchain offers a way for multiple parties to transact without needing to trust each other directly, but also notes challenges like scalability that remain to be addressed.
Gas is a unit used in Ethereum that measures the amount of computational effort required to execute a transaction or smart contract. Every operation on the Ethereum network has an associated gas cost. While gas is used to measure computational work, fees are actually paid in ether using a gas price. The total fee paid is calculated as gas used multiplied by gas price. Gas ensures transactions pay appropriately for their computational requirements and prevents spam on the network. Running out of gas results in transaction failure, while providing too little gas price means a transaction won't be included in a block.
Application of machine learning algorithms for Bitcoin Automated Trading.PranavGarg36
This document proposes applying machine learning algorithms for automated bitcoin trading. It evaluates three prediction models: exponential moving average, support vector machines with box theory, and volume weighted support vector machines. Research data from a bitcoin exchange is used to empirically study the algorithms. The results show promising returns, indicating the bitcoin market is still young and inefficient.
Keynote presentation at the HUBB Conference.
Adj Prof Mascarella clarifies terms, mechanisms and what is the roadmap to use innovation for new business.
This document proposes a Bitcoin price predictor project that uses machine learning algorithms like LSTM and time series analysis with ARIMA to predict Bitcoin prices. It discusses the benefits of cryptocurrency investments and outlines the user and system requirements. The proposed methodology will incorporate multiple algorithms and APIs to provide an accurate price prediction. The project aims to increase the accuracy level compared to previous work and leverage more predictive factors. The expected results include reducing fraud and risks while increasing control over money transfers.
Blockchain is a distributed ledger technology that allows for the safe distribution of a ledger across multiple nodes. It works by having each transaction digitally signed and added in a "block" along with a proof of work. This prevents double spending and allows nodes to reach consensus on the transaction history without a centralized authority. Smart contracts enable decentralized applications to run transactions automatically according to the program. However, first generation blockchains face challenges around centralization, scalability, and smart contract quality. New solutions aim to address these through alternative consensus methods, off-chain transactions, and designed smart contract languages.
Governance for public Blockchains and DAOs - by Vitalik ButerinMartin Köppelmann
This document discusses governance models for public blockchains and DAOs. It begins by outlining some key differences between standalone blockchain projects and dependent projects. It then analyzes various fork models and failure modes when upgrading protocols. The document also discusses concepts like Schelling points, firm theory, and futarchy as potential governance mechanisms for blockchains and DAOs. It notes challenges around manipulating votes and markets, as well as splitting assets during forks. In general, it explores finding the right balance of coordination and decentralization when governing distributed projects.
Rohan provided an overview of how cryptocurrency works including key terms like blockchain, mining, decentralization, and proof of work. Blockchain is a digital ledger that records transactions across a network of computers. Mining is the process of verifying transactions and adding them to the blockchain to introduce new coins as a reward. Decentralization means control is distributed across the network rather than centralized. Proof of work is the consensus algorithm where miners compete to complete transactions. Rohan also discussed advantages like transparency and security as well as challenges like energy use and implementation costs.
Can we safely adapt the construction of permissionless blockchain to user dem...I MT
1) The document discusses adapting permissionless blockchain construction to user demand by allowing the number of blocks and block creation rate in a blockchain to self-adapt to transaction demand.
2) It proposes a system called Sycomore that moves from a chain of blocks to a directed acyclic graph (DAG) of blocks where the predecessor of a block is not predictable.
3) Sycomore aims to partition transactions over blocks in a way that is verifiable by anyone and allows the blockchain to scale to thousands of transactions per second while maintaining security properties like preventing double spending.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
5. Outline
● What is Cryptoeconomics?
● Features of cryptoeconomic systems
● Modelling a cryptoeconomic system
● Mechanism Design
● Discussion of Casper protocol
● Mechanism design in blockchain projects
● Q&A
7. Bitcoin as an instance of cryptoeconomic system
What is the information security problem?
Transfer of value in a trustless and decentralised manner
Design
● Need to agree on a universal - Nakamoto consensus
● Uses tokens (BTC) to incentivise miners to keep the system running
● Proof-of-work as an anti-Sybil mechanism
● Following the protocol should be the equilibrium
9. Features of a cryptoeconomic system
Stability - Is following the protocol an equilibrium
Persistence - If the system falls out of equilibrium, does it recover
Optimality - Does following the protocol maximise the quality of outcomes
Robustness - Can the protocol withstand perturbations in player’s incentives
Efficiency - Is the incentive mechanism economically efficient? Is it efficiently
computable?
[Vlad Zamfir, BIP’001]
10. Modelling a cryptoeconomic system
1. Level of coordination of participants
2. Budget and cost of attacks
3. Incentives
4. Attack Models
5. Consensus mechanism
11. Coordination Level and Cost
Traditional Fault Tolerance Research (in context of distributed systems)
Honest majority model - assumes at least 51% of participants are honest.
Cryptoeconomic systems are more complex
Parameters for examining fault tolerance
1. The level of coordination between participants
2. The budget of the attacker (maximum amount the attacker would have to pay)
3. The cost of the attacker (the actual cost incurred by the attacker)
12. Incentives
1. Payments, such as mining rewards
2. Privileges, which allow their holders to extract rents, such
as transaction fees.
Incentives dictate the behavior of the participants of
the decentralised system
13. Attack Models
Uncoordinated majority models
● Participants make independent choice
● No player controls more than given % of the network
● Participants are self-interested
● Not necessarily honest
Coordinated choice models
● Actors are colluding
Bribing attacker model
14. Schelling Coin game
Property: provide the “true answer” to a given question
eg. who won the election?
Algorithm:
● Everyone votes 1 or 0
● Majority answer is taken as correct
● Everyone who voted with majority given reward of P, all
others get nothing
[Vitalik Buterin, Cryptoeconomics]
15. Uncoordinated choice model
Uncoordinated choice: you have the incentive to vote the truth, because everyone
else will vote the truth and you only get a reward of P if you agree with them
Why will everyone else vote the truth? Because they are reasoning in the same way
that you are!
You vote 0 You vote 1
Others vote 0 P 0
Others vote 1 0 P
16. Example : Bribing attacker model
A model that starts off with an uncoordinated choice assumption, but also assumes
that there is an attacker capable of making payments to actors conditional of them
taking certain actions
● Suppose there are 2 outcomes 0 and 1
● Briber asks everyone to vote for 1. If 1 is not the majority vote, then he will pay
them P+e, otherwise nothing.
[Vitalik Buterin, Cryptoeconomics]
17. P + epsilon attack
Base Game With bribe
A bribing attacker can corrupt the Schelling coin game with a budget of P + ε and
zero cost!
You vote 0 You vote 1
Others vote 0 P 0
Others vote 1 0 P
You vote 0 You vote 1
Others vote 0 P P+ε
Others vote 1 0 P
18. Possible attacks on Bitcoin network
1. 51% attack - Censorship
2. Selfish Mining attack - Needs only 25% collusion
3. Zeitgeist attack - This is a 51% attack where the attacker
sets the block timestamps artificially to lower the difficulty
19. Consensus types
Nakamoto Consensus - Doesn’t reach finality. There is always a chance of
blockchain getting forked
Practical BFT Consensus - Hyperledger, Stellar and Ripple
Proof of Stake Consensus - e.g. Casper
● Slashing conditions
● Forfeiture of deposits
● Fully and partially attributable faults
20. Mechanism Design
Key Question
How do you design systems, that have strategic participants, so that the end result
is something you want.
● Reverse Game Theory
● Auction theory is an application of mechanism design
21. Examples of Mechanism Design
Auction Design - Objective is to give the item to players who has highest
valuation for the item on sale. Sealed bidding
What should be the auction rule?
1. The highest bidder wins. The price they win is equal to the amount they bid.
2. The highest bidder wins. The price they pay is equal to the 2nd highest bid.
22. Ethereum - Casper
Casper is a PoS consensus algorithm designed for Ethereum blockchain
Proof of Stake (PoS) is a category of consensus algorithms for public blockchains
that depend on a validator's economic stake in the network
Slashing conditions - Penalising violators
23. Build on both chain - Nothing at Stake
https://github.com/ethereum/wiki/wiki/Proof-of-Stake-FAQ
26. Token Design
A token is nothing but a term denoting a unit of value issued by a project or
company.
● This unit of value can be used to reward users who participate in the
project and perform particular actions
● It can be used as transaction fees for getting a specific service on the
network
How to design a token mechanism which serves the objective of the
platform?
27. Token Design Example
Content Portal - CP token
Objective - To create good content on different topics
People who are interested in different topics can back them.
3 Topics
e.g CRYPTOCURRENCY, POLITICS, INDIA
- Curators assigned to each topic - Other people back these curators
- You get reward in CP token if more people like your topic. The reward is
proportional to number of tokens you back a post with
28. Truth is not necessarily the schelling point. So people will stake money
which people will find more attractive
So, the platform becomes useless as a good source of content and only acts
as a way for people to increase sensationalization.
https://steemit.com/trending/cryptocurrency
Topic 1
Post 1 Post 2 Post 3
5 1 2
Topic 2
Post 1 Post 2 Post 3
4 1 3
30. Summary
● Incentives are a powerful tool
● Following the protocol should be an equilibrium
● The protocol should be robust to external
incentives
● Following the protocol should achieve the
intended objective
31. Further Readings
1. Course on Mechanism design - https://theory.stanford.edu/~tim/f13/f13.html
2. Proof of Stake FAQ - https://github.com/ethereum/wiki/wiki/Proof-of-Stake-FAQ
3. Cryptoeconomics reading list -
https://github.com/ethereummadrid/cryptoeconomics-reading-list