Adapting Heuristic Mastermind Strategies to Evolutionary AlgorithmsJuan J. Merelo
This document summarizes research on adapting heuristic strategies from the game Mastermind to evolutionary algorithms. The researchers compared exhaustive search strategies for Mastermind like using entropy or most parts to score combinations. Evolutionary algorithms using these strategies performed better than random but not as well as exhaustive search. However, the researchers found exhaustive search only needs about 20 combinations, suggesting evolutionary algorithms could work if using a subset of consistent combinations rather than finding all of them.
An Algorithm for solving the game of MastermindJuan J. Merelo
This document summarizes research into using evolutionary algorithms to solve the Mastermind puzzle more efficiently than exhaustive search or naive algorithms. The researchers tested canonical genetic algorithms and estimation of distribution algorithms on the problem, finding that these evolutionary approaches obtained results comparable or better than exhaustive search with less computational effort. Their approach involved using distance-to-consistency as the fitness function and scoring and selecting consistent combinations to guide the search. The evolutionary algorithms were able to defeat exhaustive search with similar running times to naive approaches.
Presentación de la charla impartida durante el pasado Curso de Verano del Centro Mediterráneo de Almuñécar, titulado "Animación y Videojuegos".
En la charla se habla de diversos aspectos que relacionan ciencia y videojuegos, desde las posibilidades de los sistemas de juego en relación a la ciencia, hasta la investigación científica en el campo de los videojuegos.
The document discusses the relationship between art, science, and creativity. It argues that creativity in art is not fundamentally different than scientific creativity or other creative acts. It explores how computational tools can augment creative works and discusses examples like Pollock's fractal-like paintings. The document also examines how art and science have been historically interconnected through figures like Archimedes, Newton, Jacob, and Kekulé. It proposes creativity exists on the "edge of chaos" between order and disorder.
O documento discute a relação entre criatividade artística e científica, citando diversos artistas e cientistas ao longo da história. Apresenta exemplos de como novas tecnologias, como a fotografia, influenciaram a arte e permitiram novas formas de expressão. Também discute arte gerativa criada por sistemas computacionais autônomos.
O documento resume a história da fotografia desde sua invenção por Louis Daguerre em 1839 até tendências contemporâneas. Aborda temas como paisagem, retrato, fotografia científica, documental e pictorialista. Também discute pioneiros como Talbot, Muybridge, Marey, Atget, Evans e Cartier-Bresson e seus impactos na evolução do meio.
O documento resume as tendências e projetos fotográficos contemporâneos, incluindo August Sander, Bernd e Hilla Becher, Thomas Struth, e discute conceitos como apropriação, fotografia vernacular e representações do tempo através da obra de artistas como Hiroshi Sugimoto e Idris Khan.
Adapting Heuristic Mastermind Strategies to Evolutionary AlgorithmsJuan J. Merelo
This document summarizes research on adapting heuristic strategies from the game Mastermind to evolutionary algorithms. The researchers compared exhaustive search strategies for Mastermind like using entropy or most parts to score combinations. Evolutionary algorithms using these strategies performed better than random but not as well as exhaustive search. However, the researchers found exhaustive search only needs about 20 combinations, suggesting evolutionary algorithms could work if using a subset of consistent combinations rather than finding all of them.
An Algorithm for solving the game of MastermindJuan J. Merelo
This document summarizes research into using evolutionary algorithms to solve the Mastermind puzzle more efficiently than exhaustive search or naive algorithms. The researchers tested canonical genetic algorithms and estimation of distribution algorithms on the problem, finding that these evolutionary approaches obtained results comparable or better than exhaustive search with less computational effort. Their approach involved using distance-to-consistency as the fitness function and scoring and selecting consistent combinations to guide the search. The evolutionary algorithms were able to defeat exhaustive search with similar running times to naive approaches.
Presentación de la charla impartida durante el pasado Curso de Verano del Centro Mediterráneo de Almuñécar, titulado "Animación y Videojuegos".
En la charla se habla de diversos aspectos que relacionan ciencia y videojuegos, desde las posibilidades de los sistemas de juego en relación a la ciencia, hasta la investigación científica en el campo de los videojuegos.
The document discusses the relationship between art, science, and creativity. It argues that creativity in art is not fundamentally different than scientific creativity or other creative acts. It explores how computational tools can augment creative works and discusses examples like Pollock's fractal-like paintings. The document also examines how art and science have been historically interconnected through figures like Archimedes, Newton, Jacob, and Kekulé. It proposes creativity exists on the "edge of chaos" between order and disorder.
O documento discute a relação entre criatividade artística e científica, citando diversos artistas e cientistas ao longo da história. Apresenta exemplos de como novas tecnologias, como a fotografia, influenciaram a arte e permitiram novas formas de expressão. Também discute arte gerativa criada por sistemas computacionais autônomos.
O documento resume a história da fotografia desde sua invenção por Louis Daguerre em 1839 até tendências contemporâneas. Aborda temas como paisagem, retrato, fotografia científica, documental e pictorialista. Também discute pioneiros como Talbot, Muybridge, Marey, Atget, Evans e Cartier-Bresson e seus impactos na evolução do meio.
O documento resume as tendências e projetos fotográficos contemporâneos, incluindo August Sander, Bernd e Hilla Becher, Thomas Struth, e discute conceitos como apropriação, fotografia vernacular e representações do tempo através da obra de artistas como Hiroshi Sugimoto e Idris Khan.
Performance and Scalability of Particle Swarms with with dynamic and Partiall...Carlos M. Fernandes
This paper investigates the performance and the scalability of dynamic and partially connected 2-dimensional topologies for Particle Swarms, using von Neumann and Moore neighborhoods. The particles are positioned on 2-dimensional grids of nodes, where they move randomly. The von Neumann or Moore neighborhood is used to decide which particles influence each individual. Structures with growing size are tested on a classical benchmark and compared to the lbest, gbest and the standard von Neumann and Moore configurations. The results show that the partially connected grids with von Neumann neighborhood structure perform more consistently than the other strategies, while the Moore partially connected structure performs similarly to the standard Moore configuration. Furthermore, the proposed structure scales similarly or better than the standard configuration when the problem size grows.
Adapting the Bak-Sneppen Model to a Dynamic and Partially Connected Grid of H...Carlos M. Fernandes
This paper describes and investigates a swarm intelligence system with similarity-oriented behavioral rules, hierarchical clustering and evolution by random mutation. The evolutionary scheme is based on the Bak-Sneppen model of co-evolution between interacting species. The swarm of species, in this case, is randomly distributed on a 2-dimensional grid of nodes. The number of nodes is larger than the swarm size and the species are allowed to move on the grid. The rule that defines the movement of the species through the gird is based on the similarity between the species’ fitness values and the ranking of those same values within the entire population. Meanwhile, the fitness values are modified using the rules of a 2-dimensional Bak-Sneppen model. The system is intended to be a framework for metaheuristics with spatially structured populations and we show that it displays the desired characteristics for that purpose. Furthermore, these characteristics emerge as global patterns from the local interaction of the species. Without requiring the tuning of control parameters to precise values, the system seems to self-organize into a critical state between randomness and order.
Towards a 2-dimensional Self-organized Framework for Structured Population-ba...Carlos M. Fernandes
Presentation of the paper "Towards a 2-dimensional Self-organized Framework for Structured Population-based Metaheuristics". IEEE International Congress on Complex Systems, Agadir, Morocco, 2012
Presentation of the paper "Pherogenic Drawings: Generating Colored 2-Dimensional Abstract Representations of Sleep EEG with the KANTS Algorithm". ECTA 2012, Barcelona, Spain.
Using Self-Organized Criticality for Adjusting the Parameters of a Particle S...Carlos M. Fernandes
This document summarizes a research paper that proposes using a Bak-Sneppen model to self-adaptively control three parameters (ω, c, ρ) of particle swarm optimization (PSO). The BS-PSO method was tested on benchmark optimization problems and showed competitive performance compared to other PSO variants without requiring hand-tuning of parameters. Future work is suggested to test the method in dynamic environments, investigate scalability, and further study the critical state behavior of the Bak-Sneppen model.
O documento discute a relação entre fotografia, ciência e tecnologia ao longo da história. Apresenta diversos fotógrafos e suas obras que exploraram essa relação, como Eadweard Muybridge, que usou fotografia para estudar o movimento, e Hiroshi Sugimoto, que utilizou geradores de Van de Graff em suas fotografias. Também discute como novas tecnologias permitiram novos usos da fotografia, como em trabalhos de David Hockney e Harold Edgerton.
Varying the Population Size of Artificial Foraging Swarms on Time Varying Lan...Carlos M. Fernandes
Artificial Social Insects in Dynamic Environments, Warsaw, 2005. Emergent behavior of an artificial swarm when searching for optimon dynamic landscapes.
A Self-Organized Criticality Mutation Operator for Dynamic Optimization ProblemsCarlos M. Fernandes
The Sandpile Genetic Algorithm, in Atlanta, 2008. Genetic and Evolutionary Computation Conference. GECCO'08. Mixing Genetic Algorithms and the Self-Organized Criticality Theory.
O documento discute a relação entre arte, ciência e tecnologia ao longo da história, desde o Renascimento até a arte gerativa computacional. Apresenta diversos exemplos de como a ciência influenciou a arte e vice-versa, como a câmera escura, a fotografia e trabalhos de artistas como Escher e Pollock.
The document proposes an update strategy called Reinforcement/Evaporation (RE) for Univariate Marginal Distribution Algorithms (UMDAs) to better handle Dynamic Optimization Problems (DOPs). RE is inspired by the update equations used in Ant Colony Optimization (ACO) algorithms. The RE strategy maintains diversity in the population to avoid full convergence, which is unsuitable for dynamic problems. Experimental results show that RE outperforms other diversity-handling techniques and allows the UMDA to better track optima in changing environments.
Kaluptein é uma série fotográfica de Carlos M. Fernandes que retrata o Anfiteatro de Lisboa coberto de negro, criando uma atmosfera solitária e obscura. As fotografias originais em Polaroid foram literalmente cobertas de preto, transformando as imagens. A série documenta o bairro onde o autor cresceu através de uma visão escura.
This document describes the evolution of models for simulating ant colony behavior and its application to image processing techniques called pherographia. It begins with the original 1995 ant model by Chialvo and Millonas and describes subsequent extensions by other researchers to apply it to digital images. These include adding terms for pheromone deposition rates and ant reproduction. It also summarizes the development of color pherographia using different color spaces and rules for ant movement. The document concludes by discussing results and potential future work extending the techniques.
This document summarizes a study on using a genetic algorithm with a mutation operator based on the sandpile model of self-organized criticality to solve dynamic optimization problems. The sandpile genetic algorithm (GGASM) uses a 2D lattice to represent the population, where grains are dropped on the lattice at a rate g. When slopes exceed a critical value, grains topple to neighboring cells in avalanches whose sizes follow a power law distribution. This distribution determines the bit-level mutation rates. Experiments tested GGASM on dynamic problems with varying severity, frequency of changes, base functions, and grain rates g. Results showed the mutation rate distribution adapts to problem dynamics and GGASM outperforms algorithms without sandpile
Este documento discute a relação entre arte, ciência e criatividade. Aborda tópicos como as "duas culturas" da arte e ciência, exemplos de polimatas como Leonardo da Vinci, e como novas áreas como a inteligência de enxame e algoritmos genéticos podem gerar criatividade emergente e arte artificial.
This document presents a sandpile mutation operator for genetic algorithms to address dynamic optimization problems. It describes how self-organized criticality from sandpile models can provide a mutation rate that self-regulates depending on the problem and its dynamics. The sandpile mutation operator is tested on benchmark dynamic optimization problems and is shown to improve performance of genetic algorithms compared to other approaches without increasing the number of parameters.
This document investigates replacement strategies for the Adaptive Dissortative Mating Genetic Algorithm (ADMGA) to improve its performance on dynamic optimization problems where the optimal solution changes over time. It compares the original ADMGA replacement strategy of selecting offspring and best parents to strategies that incorporate mutated copies of old solutions or the best solution. Testing on benchmark problems with different rates of change shows strategies using mutated old solutions outperform the standard genetic algorithm and are competitive with the estimation of distribution algorithm on faster changing problems.
This document discusses optimizing evolutionary algorithms at the program level. It describes how evolutionary algorithms rely on parameters and operators, but little attention is paid to their implementation. The authors used profilers and monitors to identify bottlenecks in a canonical evolutionary algorithm written in Perl. They were able to improve runtime performance by up to two orders of magnitude through changes like caching fitness computations and using more efficient sorting functions. The conclusions are that implementation details can substantially impact performance and it is important to apply typical programming techniques when writing evolutionary algorithms.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Performance and Scalability of Particle Swarms with with dynamic and Partiall...Carlos M. Fernandes
This paper investigates the performance and the scalability of dynamic and partially connected 2-dimensional topologies for Particle Swarms, using von Neumann and Moore neighborhoods. The particles are positioned on 2-dimensional grids of nodes, where they move randomly. The von Neumann or Moore neighborhood is used to decide which particles influence each individual. Structures with growing size are tested on a classical benchmark and compared to the lbest, gbest and the standard von Neumann and Moore configurations. The results show that the partially connected grids with von Neumann neighborhood structure perform more consistently than the other strategies, while the Moore partially connected structure performs similarly to the standard Moore configuration. Furthermore, the proposed structure scales similarly or better than the standard configuration when the problem size grows.
Adapting the Bak-Sneppen Model to a Dynamic and Partially Connected Grid of H...Carlos M. Fernandes
This paper describes and investigates a swarm intelligence system with similarity-oriented behavioral rules, hierarchical clustering and evolution by random mutation. The evolutionary scheme is based on the Bak-Sneppen model of co-evolution between interacting species. The swarm of species, in this case, is randomly distributed on a 2-dimensional grid of nodes. The number of nodes is larger than the swarm size and the species are allowed to move on the grid. The rule that defines the movement of the species through the gird is based on the similarity between the species’ fitness values and the ranking of those same values within the entire population. Meanwhile, the fitness values are modified using the rules of a 2-dimensional Bak-Sneppen model. The system is intended to be a framework for metaheuristics with spatially structured populations and we show that it displays the desired characteristics for that purpose. Furthermore, these characteristics emerge as global patterns from the local interaction of the species. Without requiring the tuning of control parameters to precise values, the system seems to self-organize into a critical state between randomness and order.
Towards a 2-dimensional Self-organized Framework for Structured Population-ba...Carlos M. Fernandes
Presentation of the paper "Towards a 2-dimensional Self-organized Framework for Structured Population-based Metaheuristics". IEEE International Congress on Complex Systems, Agadir, Morocco, 2012
Presentation of the paper "Pherogenic Drawings: Generating Colored 2-Dimensional Abstract Representations of Sleep EEG with the KANTS Algorithm". ECTA 2012, Barcelona, Spain.
Using Self-Organized Criticality for Adjusting the Parameters of a Particle S...Carlos M. Fernandes
This document summarizes a research paper that proposes using a Bak-Sneppen model to self-adaptively control three parameters (ω, c, ρ) of particle swarm optimization (PSO). The BS-PSO method was tested on benchmark optimization problems and showed competitive performance compared to other PSO variants without requiring hand-tuning of parameters. Future work is suggested to test the method in dynamic environments, investigate scalability, and further study the critical state behavior of the Bak-Sneppen model.
O documento discute a relação entre fotografia, ciência e tecnologia ao longo da história. Apresenta diversos fotógrafos e suas obras que exploraram essa relação, como Eadweard Muybridge, que usou fotografia para estudar o movimento, e Hiroshi Sugimoto, que utilizou geradores de Van de Graff em suas fotografias. Também discute como novas tecnologias permitiram novos usos da fotografia, como em trabalhos de David Hockney e Harold Edgerton.
Varying the Population Size of Artificial Foraging Swarms on Time Varying Lan...Carlos M. Fernandes
Artificial Social Insects in Dynamic Environments, Warsaw, 2005. Emergent behavior of an artificial swarm when searching for optimon dynamic landscapes.
A Self-Organized Criticality Mutation Operator for Dynamic Optimization ProblemsCarlos M. Fernandes
The Sandpile Genetic Algorithm, in Atlanta, 2008. Genetic and Evolutionary Computation Conference. GECCO'08. Mixing Genetic Algorithms and the Self-Organized Criticality Theory.
O documento discute a relação entre arte, ciência e tecnologia ao longo da história, desde o Renascimento até a arte gerativa computacional. Apresenta diversos exemplos de como a ciência influenciou a arte e vice-versa, como a câmera escura, a fotografia e trabalhos de artistas como Escher e Pollock.
The document proposes an update strategy called Reinforcement/Evaporation (RE) for Univariate Marginal Distribution Algorithms (UMDAs) to better handle Dynamic Optimization Problems (DOPs). RE is inspired by the update equations used in Ant Colony Optimization (ACO) algorithms. The RE strategy maintains diversity in the population to avoid full convergence, which is unsuitable for dynamic problems. Experimental results show that RE outperforms other diversity-handling techniques and allows the UMDA to better track optima in changing environments.
Kaluptein é uma série fotográfica de Carlos M. Fernandes que retrata o Anfiteatro de Lisboa coberto de negro, criando uma atmosfera solitária e obscura. As fotografias originais em Polaroid foram literalmente cobertas de preto, transformando as imagens. A série documenta o bairro onde o autor cresceu através de uma visão escura.
This document describes the evolution of models for simulating ant colony behavior and its application to image processing techniques called pherographia. It begins with the original 1995 ant model by Chialvo and Millonas and describes subsequent extensions by other researchers to apply it to digital images. These include adding terms for pheromone deposition rates and ant reproduction. It also summarizes the development of color pherographia using different color spaces and rules for ant movement. The document concludes by discussing results and potential future work extending the techniques.
This document summarizes a study on using a genetic algorithm with a mutation operator based on the sandpile model of self-organized criticality to solve dynamic optimization problems. The sandpile genetic algorithm (GGASM) uses a 2D lattice to represent the population, where grains are dropped on the lattice at a rate g. When slopes exceed a critical value, grains topple to neighboring cells in avalanches whose sizes follow a power law distribution. This distribution determines the bit-level mutation rates. Experiments tested GGASM on dynamic problems with varying severity, frequency of changes, base functions, and grain rates g. Results showed the mutation rate distribution adapts to problem dynamics and GGASM outperforms algorithms without sandpile
Este documento discute a relação entre arte, ciência e criatividade. Aborda tópicos como as "duas culturas" da arte e ciência, exemplos de polimatas como Leonardo da Vinci, e como novas áreas como a inteligência de enxame e algoritmos genéticos podem gerar criatividade emergente e arte artificial.
This document presents a sandpile mutation operator for genetic algorithms to address dynamic optimization problems. It describes how self-organized criticality from sandpile models can provide a mutation rate that self-regulates depending on the problem and its dynamics. The sandpile mutation operator is tested on benchmark dynamic optimization problems and is shown to improve performance of genetic algorithms compared to other approaches without increasing the number of parameters.
This document investigates replacement strategies for the Adaptive Dissortative Mating Genetic Algorithm (ADMGA) to improve its performance on dynamic optimization problems where the optimal solution changes over time. It compares the original ADMGA replacement strategy of selecting offspring and best parents to strategies that incorporate mutated copies of old solutions or the best solution. Testing on benchmark problems with different rates of change shows strategies using mutated old solutions outperform the standard genetic algorithm and are competitive with the estimation of distribution algorithm on faster changing problems.
This document discusses optimizing evolutionary algorithms at the program level. It describes how evolutionary algorithms rely on parameters and operators, but little attention is paid to their implementation. The authors used profilers and monitors to identify bottlenecks in a canonical evolutionary algorithm written in Perl. They were able to improve runtime performance by up to two orders of magnitude through changes like caching fitness computations and using more efficient sorting functions. The conclusions are that implementation details can substantially impact performance and it is important to apply typical programming techniques when writing evolutionary algorithms.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
1. Abstracting the Abstract
A swarm art project, by Carlos M. Fernandes
• KANTS algorithm by Carlos M. Fernandes, Antonio Mora and J.J. Merelo
• Geneura Group, University of Granada
author’s webpage: www.carlosmfernandes.com
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2. KANTS
• KANTS is a swarm intelligence algorithm for
clustering:
– A. Mora, C.M. Fernandes, J.J. Merelo, V. Ramos, J.L.J. Laredo, A.C. Rosa, “KohonAnts. A
Self-Organizing Ant Algorithm for Clustering and Pattern Classification,” In Proceedings
of the 11th International Conference on Artificial Life, S. Bullock et al., Eds., MIT Press,
Cambridge, MA, pp. 428-435, 2008.
• Basics: Data samples move on a grid of vectors
and self-organize using the vectors of the grid
for communicating (while changing those
vectors).
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3. Abstracting the Abstract
• If we find ways to visualize the grid, we observe how
the data samples have “shaped” the grid/habitat.
data Grid of
KANTS
samples vectors
Example above: grid created by one night sleep data samples (with three variables → direct
translation to RGB). The pherogenic sleep drawings project.
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4. Abstracting the Abstract
Idea: get the data samples (three-variable RGB vectors) directly from a coloured image
and then use these samples as KANTS output.
Data
samples=
KANTS
list of RGB
vectors
Grid
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5. Abstracting the Abstract #1
(after Mondrian)
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6. Abstracting the Abstract #1
(after Pollock)
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7. Abstracting the Abstract #1
(after Kupka)
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8. Abstracting the Abstract #1
(after Kandinsky)
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9. Abstracting the Abstract #1
(after Miró)
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10. Distributed Creativity
• The ants/samples that shape the environment
(canvas).
• The original paintings.
• The idea/concept.
• “Reinterpretation” of the original (abstract)
works: ABSTRACTING THE ABSTRACT
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