Talk on sneaky computation to be given at Reykjavik University. Sneaky computation is the using spare CPU cycles with little or no intervention from the user.
Talk at Bioinformatics Open Source Conference, 2012c.titus.brown
This document summarizes work on digital normalization, a technique for reducing sequencing data size prior to assembly. Digital normalization works by discarding reads whose k-mer counts are below a cutoff, based on analysis of k-mer frequencies in the de Bruijn graph. It can remove over 95% of data in a single pass with fixed memory. Digital normalization enables assembly of large datasets in the cloud by reducing data size and memory requirements. The document acknowledges collaborators and funding sources and provides links for code, blogs, papers, and future events.
Some of the biggest issues at the center of analyzing large amounts of data are query flexibility, latency, and fault tolerance. Modern technologies that build upon the success of “big data” platforms, such as Apache Hadoop, have made it possible to spread the load of data analysis to commodity machines, but these analyses can still take hours to run and do not respond well to rapidly-changing data sets.
A new generation of data processing platforms -- which we call “stream architectures” -- have converted data sources into streams of data that can be processed and analyzed in real-time. This has led to the development of various distributed real-time computation frameworks (e.g. Apache Storm) and multi-consumer data integration technologies (e.g. Apache Kafka). Together, they offer a way to do predictable computation on real-time data streams.
In this talk, we will give an overview of these technologies and how they fit into the Python ecosystem. As part of this presentation, we also released streamparse, a new Python that makes it easy to debug and run large Storm clusters.
Links:
* http://parse.ly/code
* https://github.com/Parsely/streamparse
* https://github.com/getsamsa/samsa
streamparse and pystorm: simple reliable parallel processing with stormDaniel Blanchard
Storm is a distributed real-time computation system that dramatically simplifies processing streaming data. streamparse allows Python code to integrate with Storm by providing a Pythonic API. It handles running, debugging, and deploying Storm topologies to clusters through commands like "sparse run" and "sparse submit".
Storm is a fast, scalable, fault-tolerant, and easy to operate distributed realtime computation system. It guarantees that messages will be processed and allows processing big data streams reliably in real time. Storm was originally developed by Nathan Marz at BackType (acquired by Twitter) and is written in Java and Clojure. It uses a simple programming model and can scale to large clusters, making it suitable for processing millions of events per second.
The document discusses key traits to consider when determining a publication's target audience, including age, educational background, interests, and group membership. It notes that when the target is elementary school students, graphics may be better than text due to limited vocabulary. Common interests and special interest group memberships should also be taken into account when designing publications for their intended readers.
This document provides a course syllabus for a Computer Applications course taught to 6th, 7th, and 8th grade students by Mr. Lindstrom in room 412 at Smith Middle School. The course aims to provide hands-on instruction in keyboarding, computer concepts, software applications, and emerging tech concepts through instructional modules. Students will learn various software applications including word processing, desktop publishing, presentation software, spreadsheets, databases, and programming.
Larry Page was born in 1973 in Michigan. He attended the University of Michigan and received a computer engineering degree and later got a Master's in computer science from Stanford University. In 1998, Page co-founded Google with Sergey Brin and developed the PageRank algorithm, which helped build a superior search engine. Page served as co-president and later CEO of Google, stepping down as CEO in 2011 but remaining on the board of directors. He has a net worth of over $21 billion as of 2012.
This document discusses tools and services for data intensive research in the cloud. It describes several initiatives by the eXtreme Computing Group at Microsoft Research related to cloud computing, multicore computing, quantum computing, security and cryptography, and engaging with research partners. It notes that the nature of scientific computing is changing to be more data-driven and exploratory. Commercial clouds are important for research as they allow researchers to start work quickly without lengthy installation and setup times. The document discusses how economics has driven improvements in computing technologies and how this will continue to impact research computing infrastructure. It also summarizes several Microsoft technologies for data intensive computing including Dryad, LINQ, and Complex Event Processing.
Keynote given at BOSC, 2010.
Does the hype surrounding cloud match the reality?
Can we use them to solve the problems in provisioning IT services to support next-generation sequencing?
Cloud Camp Milan 2K9 Telecom Italia: Where P2P?Gabriele Bozzi
1. The document discusses the potential for peer-to-peer (P2P) computing as an alternative or complement to the traditional client-server model, especially in the context of cloud computing.
2. It notes challenges with P2P such as lack of centralized control and potential for freeloading, but also advantages like harnessing unused resources.
3. Emerging technologies like autonomic and cognitive networking aim to address P2P challenges by enabling self-configuration and optimization of distributed resources.
This document discusses using information visualization techniques to analyze network security data. It provides examples of visualizing port scan data, vulnerability scanner results, and a wargame scenario. It also outlines several active research areas in network security visualization like visualizing worm propagation and intrusion detection system alerts.
Here are three additional new security tools or techniques beyond what was discussed in the text, along with an analysis of their potential:
1. Deception technologies: Tools that deploy deceptive measures like honeypots, honeynets, and decoy documents/credentials to identify and study cyber attacks without putting real systems at risk. These have strong potential to gather threat intelligence and improve defenses.
2. Blockchain authentication: Using distributed ledger technologies like blockchain to securely store credentials and authenticate users. By distributing credential data across multiple nodes, it eliminates single points of failure and could help reduce identity theft if widely adopted.
3. AI-powered behavioral analytics: Leveraging machine learning to analyze patterns in user and system behavior over time
This document provides an introduction and overview of Akka and the actor model. It begins by discussing reactive programming principles and how applications can react to events, load, failures, and users. It then defines the actor model as treating actors as the universal primitives of concurrent computation that process messages asynchronously. The document outlines the history and origins of the actor model. It defines Akka as a toolkit for building highly concurrent, distributed, and resilient message-driven applications on the JVM. It also distinguishes between parallelism, which modifies algorithms to run parts simultaneously, and concurrency, which refers to applications running through multiple threads of execution simultaneously in an event-driven way. Finally, it provides examples of shared-state concurrency issues
The document discusses how cloud computing and virtualization are changing assumptions about application deployment and infrastructure management. It provides examples of how companies like Amazon are offering cloud services like EC2 and S3 for flexible, on-demand computing resources and storage. New distributed computing paradigms like MapReduce are also discussed as better fits for large datasets than traditional databases on single servers. The challenges of managing applications and infrastructure in these dynamic, large-scale environments are also summarized.
Nagios Conference 2014 - Gerald Combs - A Trillion TruthsNagios
Gerald Combs's presentation on A Trillion Truths.
The presentation was given during the Nagios World Conference North America held Oct 13th - Oct 16th, 2014 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/conference
This document discusses network flow analysis of traffic data from the Internet2 Abilene network. It provides an overview of Netflow data collection and analysis techniques, along with some preliminary results. Future work is proposed to further analyze the dynamics, structure, and anomalies within the large-scale network flow data.
This document discusses network flow analysis of traffic data from the Internet2 Abilene network. It provides an overview of Netflow data collection and analysis techniques, along with some preliminary results. Future work is proposed to further examine the dynamics, structure, and anomalies within the large-scale network flow data.
CT Brown - Doing next-gen sequencing analysis in the cloudJan Aerts
This document summarizes work on digital normalization, a technique for reducing sequencing data size prior to assembly. Digital normalization works by discarding reads whose k-mer counts are below a cutoff, based on analysis of k-mer abundances across the dataset. It can remove over 95% of data in a single pass with fixed memory. This makes genome and metagenome assembly scalable to larger datasets using cloud computing resources. The work is done in an open science manner, with all code, data, and manuscripts openly accessible online.
A talk about me discovering new architectures, new ways of building scalable realtime platforms #SIP #WebRTC #Kamailio #MQTT #NODERED
Watch it live at https://www.youtube.com/watch?v=BbfUXUWtxIg
Internet Worm Classification and Detection using Data Mining Techniquesiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document discusses using data mining techniques to classify and detect internet worms. It proposes a model that preprocesses network packet data to extract features, then uses three data mining algorithms (Random Forest, Decision Tree, Bayesian Network) to classify the data as normal, worm, or other network attacks. The model was able to detect internet worms with over 99% accuracy and less than 1% false alarm rate when classifying test data, outperforming Bayesian Network. In general, the document evaluates using machine learning for network-based internet worm detection.
This document discusses using machine learning to detect ransomware through analyzing microbehaviors rather than static signatures. It introduces the concept of using machine learning for cybersecurity and labeling data to help algorithms learn. The document then discusses modeling ransomware behaviors like file system modifications and callbacks. It outlines a plan to take labeled exploit and benign traffic data, extract microbehaviors, use machine learning to detect anomalies, and generate indicators of compromise.
- The document discusses building a predictive anomaly detection model for network traffic using streaming data technologies.
- It proposes using Apache Kafka to ingest and process network packet and Netflow data in real-time, and Akka clustering to build predictive models that can guide human cybersecurity experts.
- The solution aims to more effectively guide human awareness of network threats by complementing localized rule-matching with predictive modeling of aggregate network behavior based on streaming metrics.
Virtual Machines Security Internals: Detection and ExploitationMattia Salvi
This paper is an analysis of the current state of virtual machines’ security, showcasing how features have been turned into attack vectors that can pose threats to real enterprise level infrastructures. Despite the few real world scenarios that have actively exploited security holes, they remain one of the most dangerous threats organizations have to look out for.
The Honeynet Project is a non-profit organization that aims to improve internet security by learning about computer attacks. It deploys honeypots - computers designed to be hacked - to capture data on threats. The organization shares its research findings openly. It also operates a Honeynet Research Alliance of groups around the world collaborating on honeypot technologies and research.
This presentation accompanied a practical demonstration of Amazon's Elastic Computing services to CNET students at the University of Plymouth on 16/03/2010.
The practical demonstration involved an obviously parallel problem split on 5 Medium size AMIs. The problem was the calculation of the Clustering Coefficient and the Mean Path Length (Based on the original work done by Watts and Strogatz) for large networks. The code was written in Python taking advantage of the scipy, pyparallel and networkx toolkits
The document discusses peer-to-peer and serverless networking models. It describes how clients in peer-to-peer networks can provide unused storage and computing resources. Examples of current peer-to-peer file sharing systems like BitTorrent are explained. The benefits of distributed and grid computing systems are discussed. Issues around security, privacy, and standards in peer-to-peer networks are also covered.
Este documento discute las conexiones entre los videojuegos y la ciencia. Explica cómo los videojuegos se han utilizado para aplicaciones científicas como el control de robots y la simulación física. También describe cómo la ciencia se incluye en los videojuegos a través de motores de física y cómo la investigación en inteligencia artificial y generación procedural de contenido busca mejorar la experiencia de los jugadores.
This document discusses tools and services for data intensive research in the cloud. It describes several initiatives by the eXtreme Computing Group at Microsoft Research related to cloud computing, multicore computing, quantum computing, security and cryptography, and engaging with research partners. It notes that the nature of scientific computing is changing to be more data-driven and exploratory. Commercial clouds are important for research as they allow researchers to start work quickly without lengthy installation and setup times. The document discusses how economics has driven improvements in computing technologies and how this will continue to impact research computing infrastructure. It also summarizes several Microsoft technologies for data intensive computing including Dryad, LINQ, and Complex Event Processing.
Keynote given at BOSC, 2010.
Does the hype surrounding cloud match the reality?
Can we use them to solve the problems in provisioning IT services to support next-generation sequencing?
Cloud Camp Milan 2K9 Telecom Italia: Where P2P?Gabriele Bozzi
1. The document discusses the potential for peer-to-peer (P2P) computing as an alternative or complement to the traditional client-server model, especially in the context of cloud computing.
2. It notes challenges with P2P such as lack of centralized control and potential for freeloading, but also advantages like harnessing unused resources.
3. Emerging technologies like autonomic and cognitive networking aim to address P2P challenges by enabling self-configuration and optimization of distributed resources.
This document discusses using information visualization techniques to analyze network security data. It provides examples of visualizing port scan data, vulnerability scanner results, and a wargame scenario. It also outlines several active research areas in network security visualization like visualizing worm propagation and intrusion detection system alerts.
Here are three additional new security tools or techniques beyond what was discussed in the text, along with an analysis of their potential:
1. Deception technologies: Tools that deploy deceptive measures like honeypots, honeynets, and decoy documents/credentials to identify and study cyber attacks without putting real systems at risk. These have strong potential to gather threat intelligence and improve defenses.
2. Blockchain authentication: Using distributed ledger technologies like blockchain to securely store credentials and authenticate users. By distributing credential data across multiple nodes, it eliminates single points of failure and could help reduce identity theft if widely adopted.
3. AI-powered behavioral analytics: Leveraging machine learning to analyze patterns in user and system behavior over time
This document provides an introduction and overview of Akka and the actor model. It begins by discussing reactive programming principles and how applications can react to events, load, failures, and users. It then defines the actor model as treating actors as the universal primitives of concurrent computation that process messages asynchronously. The document outlines the history and origins of the actor model. It defines Akka as a toolkit for building highly concurrent, distributed, and resilient message-driven applications on the JVM. It also distinguishes between parallelism, which modifies algorithms to run parts simultaneously, and concurrency, which refers to applications running through multiple threads of execution simultaneously in an event-driven way. Finally, it provides examples of shared-state concurrency issues
The document discusses how cloud computing and virtualization are changing assumptions about application deployment and infrastructure management. It provides examples of how companies like Amazon are offering cloud services like EC2 and S3 for flexible, on-demand computing resources and storage. New distributed computing paradigms like MapReduce are also discussed as better fits for large datasets than traditional databases on single servers. The challenges of managing applications and infrastructure in these dynamic, large-scale environments are also summarized.
Nagios Conference 2014 - Gerald Combs - A Trillion TruthsNagios
Gerald Combs's presentation on A Trillion Truths.
The presentation was given during the Nagios World Conference North America held Oct 13th - Oct 16th, 2014 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/conference
This document discusses network flow analysis of traffic data from the Internet2 Abilene network. It provides an overview of Netflow data collection and analysis techniques, along with some preliminary results. Future work is proposed to further analyze the dynamics, structure, and anomalies within the large-scale network flow data.
This document discusses network flow analysis of traffic data from the Internet2 Abilene network. It provides an overview of Netflow data collection and analysis techniques, along with some preliminary results. Future work is proposed to further examine the dynamics, structure, and anomalies within the large-scale network flow data.
CT Brown - Doing next-gen sequencing analysis in the cloudJan Aerts
This document summarizes work on digital normalization, a technique for reducing sequencing data size prior to assembly. Digital normalization works by discarding reads whose k-mer counts are below a cutoff, based on analysis of k-mer abundances across the dataset. It can remove over 95% of data in a single pass with fixed memory. This makes genome and metagenome assembly scalable to larger datasets using cloud computing resources. The work is done in an open science manner, with all code, data, and manuscripts openly accessible online.
A talk about me discovering new architectures, new ways of building scalable realtime platforms #SIP #WebRTC #Kamailio #MQTT #NODERED
Watch it live at https://www.youtube.com/watch?v=BbfUXUWtxIg
Internet Worm Classification and Detection using Data Mining Techniquesiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document discusses using data mining techniques to classify and detect internet worms. It proposes a model that preprocesses network packet data to extract features, then uses three data mining algorithms (Random Forest, Decision Tree, Bayesian Network) to classify the data as normal, worm, or other network attacks. The model was able to detect internet worms with over 99% accuracy and less than 1% false alarm rate when classifying test data, outperforming Bayesian Network. In general, the document evaluates using machine learning for network-based internet worm detection.
This document discusses using machine learning to detect ransomware through analyzing microbehaviors rather than static signatures. It introduces the concept of using machine learning for cybersecurity and labeling data to help algorithms learn. The document then discusses modeling ransomware behaviors like file system modifications and callbacks. It outlines a plan to take labeled exploit and benign traffic data, extract microbehaviors, use machine learning to detect anomalies, and generate indicators of compromise.
- The document discusses building a predictive anomaly detection model for network traffic using streaming data technologies.
- It proposes using Apache Kafka to ingest and process network packet and Netflow data in real-time, and Akka clustering to build predictive models that can guide human cybersecurity experts.
- The solution aims to more effectively guide human awareness of network threats by complementing localized rule-matching with predictive modeling of aggregate network behavior based on streaming metrics.
Virtual Machines Security Internals: Detection and ExploitationMattia Salvi
This paper is an analysis of the current state of virtual machines’ security, showcasing how features have been turned into attack vectors that can pose threats to real enterprise level infrastructures. Despite the few real world scenarios that have actively exploited security holes, they remain one of the most dangerous threats organizations have to look out for.
The Honeynet Project is a non-profit organization that aims to improve internet security by learning about computer attacks. It deploys honeypots - computers designed to be hacked - to capture data on threats. The organization shares its research findings openly. It also operates a Honeynet Research Alliance of groups around the world collaborating on honeypot technologies and research.
This presentation accompanied a practical demonstration of Amazon's Elastic Computing services to CNET students at the University of Plymouth on 16/03/2010.
The practical demonstration involved an obviously parallel problem split on 5 Medium size AMIs. The problem was the calculation of the Clustering Coefficient and the Mean Path Length (Based on the original work done by Watts and Strogatz) for large networks. The code was written in Python taking advantage of the scipy, pyparallel and networkx toolkits
The document discusses peer-to-peer and serverless networking models. It describes how clients in peer-to-peer networks can provide unused storage and computing resources. Examples of current peer-to-peer file sharing systems like BitTorrent are explained. The benefits of distributed and grid computing systems are discussed. Issues around security, privacy, and standards in peer-to-peer networks are also covered.
Este documento discute las conexiones entre los videojuegos y la ciencia. Explica cómo los videojuegos se han utilizado para aplicaciones científicas como el control de robots y la simulación física. También describe cómo la ciencia se incluye en los videojuegos a través de motores de física y cómo la investigación en inteligencia artificial y generación procedural de contenido busca mejorar la experiencia de los jugadores.
Como triunfar con tu proyecto en un hackatónJuan J. Merelo
Guía para los proyectos participantes en el hackatón de proyectos de la UGR, donde explicamos qué hacer para atraer colaboradores en el hackatón y, si es posible, conservarlos
Benchmarking languages for evolutionary computationJuan J. Merelo
A poster presented at ECTA/IJCCI 2016 with our research on evolutionary algorithms. Paper sources and data at https://github.com/geneura-papers/2016-ea-languages-PPSN/releases/tag/v1.0ECTA
Benchmarking languages for evolutionary algorithmsJuan J. Merelo
This document acknowledges funding support from the Spanish Ministry of Economy and Competitiveness projects TIN2014-56494-C4-3-P and project V17-2015 of the Microprojects program 2015 from CEI BioTIC Granada. It also lists image credits for a background, cars, language logos, and winners.
8º hackatón de proyectos libres de la UGR: Ayuda para los participantesJuan J. Merelo
Este documento ofrece consejos para proyectos participantes en el 8o Hackathon CUSL-UGR. Explica que un hackathon es una experiencia colaborativa para trabajar en proyectos de software de forma colaborativa. Recomienda atraer y educar a colaboradores, incluirlos en tareas incluso si no son informáticos, y buscar ayuda de la OSL. También enfatiza la importancia de tener una guía de prácticas de codificación, crear issues en GitHub, y obtener un resultado tangible al final del hackathon.
Introducción a HDR y Tonemapping con LuminanceJuan J. Merelo
Una breve introducción al tratamiento de imágenes HDR con esta herramienta. Desde tonemapping con una sola imagen hasta creación de imágenes HDR mediante bracketing
Este documento proporciona consejos para proyectos participantes en el 7o Hackathon CUSL-UGR. Explica que un hackathon es una experiencia de trabajo colaborativo para desarrollar proyectos de software de manera conjunta. Recomienda atraer y educar a colaboradores, incluirlos en tareas significativas aunque no sean expertos, y obtener un resultado tangible al final del evento para continuar mejorando el proyecto.
Este documento trata sobre el acceso abierto y las licencias copyleft. Explica que la información debe ser libre y gratuita para todos, y que el conocimiento es un bien común. También describe las licencias Creative Commons, las cuales permiten la reproducción y distribución de obras mientras se atribuye la autoría. El documento promueve el uso de formatos y licencias libres para garantizar la libertad y el intercambio de información.
Luminance 2014 presentaciión sobre luminanceJuan J. Merelo
Este documento explica el proceso de tone mapping para crear imágenes HDR a partir de imágenes LDR. El tone mapping mapea el rango dinámico alto de las imágenes HDR al rango dinámico bajo de las imágenes LDR mediante la reducción de valores de color. El documento describe cómo usar el programa Luminance para alinear múltiples imágenes LDR, generar una imagen HDR y aplicar diferentes algoritmos de tone mapping para lograr el mejor resultado visual. Finalmente, ofrece consejos sobre el tipo de imágenes y técnicas que funcionan
Enforcing Corporate Security Policies via Computational Intelligence TechniquesJuan J. Merelo
Paper presented at the SecDef workshop @GECCO 2014, by Enforcing Corporate Security Policies via Computational Intelligence Techniques
Antonio Moral is the main author of the presentation
Evostar 2014 Introduction to the conferenceJuan J. Merelo
This document welcomes attendees to the EvoStar conference in Baeza and lists many of the people who encouraged and helped organize the conference, though more help was needed hauling oil boxes. It then lists some of the topics to be covered at the conference, including distributed asynchronous parallel conferencing using evolutionary algorithms, the travelling tapas crawling problem, and the constrained EvoCoin packing problem. The document encourages attendees to fill out surveys, invites them to a meeting to form an EvoStar society, and thanks them for attending while wishing them to enjoy the conference.
Presentación Open Data Day en Granada, 2014Juan J. Merelo
Este documento proporciona información sobre el hackathon de datos abiertos de 2014 que se llevará a cabo en la Universidad de Granada, incluyendo una descripción de datos abiertos, detalles sobre Open Data Day, formatos para extraer y visualizar datos, ideas para aplicaciones, y recursos de datos de la universidad.
Introducción al uso de git, el sistema de control de fuentes más molón. Juan J. Merelo
Git es un sistema de control de versiones distribuido que permite el desarrollo colaborativo de proyectos de software. Explica cómo crear repositorios locales y remotos en Git y GitHub, realizar confirmaciones, fusiones y bifurcaciones de código, y utilizar funciones avanzadas como integración continua y despliegue automático. El documento concluye invitando a los lectores a aprender más sobre Git y contribuir a proyectos de código abierto.
Este documento presenta una introducción a las redes sociales y las redes complejas. Explica que las redes están compuestas de nodos y aristas, y que las aristas pueden ser físicas o virtuales. También describe algunas propiedades clave de las redes complejas, incluyendo leyes de potencia, un mundo pequeño con un camino medio corto, y una alta agrupación. Además, introduce diferentes medidas de centralidad para determinar la importancia relativa de los nodos dentro de una red.
El software libre contado a los universitariosJuan J. Merelo
Este documento habla sobre el software libre y su importancia para los universitarios. Explica por qué el software libre es valioso, quién lo usa comúnmente, y algunas formas en que los estudiantes pueden aprovecharlo. También menciona la necesidad de planificar a largo plazo para sacar el máximo provecho del software libre en la universidad y más allá.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma
My talk for the Indian School of Business (ISB) Emerging Leaders Program Cohort 9. In this talk, I discussed key issues around adoption of GenAI in business - benefits, opportunities and limitations. I also discussed how my research on Theory of Cognitive Chasms helps address some of these issues
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
Hybrid Growth Mandate Model with TrsLabs
Strategic Investments, Inorganic Growth, Business Model Pivoting are critical activities that business don't do/change everyday. In cases like this, it may benefit your business to choose a temporary external consultant.
An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
4. Let's listen to the sagas The sheepherder of Thorkel TrefI will from Svignaskarð went out that morning to his flock and he saw them going along, driving all sorts of livestock. He mentioned this to Thorkel. I know what is happening, said Thorkel. These are men from Thverárhlið [Cross-river Slope] and friends of mine. They were hard-hit by the winter and will be driving their animals here. They are welcome. I have enough hay , and there is enough pasture for grazing. Hænsa-Thori's Saga, http://lugl.info/fu
14. ¿Cómo funcionan los gusanos? Los gusanos se aprovechan de debilidades en los programas a los que llegan Programas de email, servidores web, sistemas operativos. También de las debilidades de las personas.
15. Looking for their better half Botnets are sets of computers infected with a particular worm.
50. Spot-checking Credibility-based fault tolerance. Luis F. G. Sarmenta. "Sabotage-Tolerance Mechanisms for Volunteer Computing Systems." Future Generation Computer Systems: Special Issue on Cluster Computing and the Grid , Vol. 18, Issue 4, March 2002: http://lugl.info/a3
51. Money for nothing, that's the way you do it Since choice is made by the user, volunteer computing democratizes research.
53. See BOINC wiki: http://lugl.info/Bl
54. Bueno, sí lo es En la época dorada de las puntocom, surgieron varias empresas que vendían capacidad de cómputo distribuido Popular Power, United Devices, Entropia.net... Y pagaban a los usuarios.
81. Ajax for everybody Most, if not all, browsers include Javascript ECMA standard Object model is also compatible. W3C standard Constraint: XMLHttpRequest in the browser.
85. Ajax requests only to originating domain Unless in Chrome environment. Nick Jenkin: Parasitic Javascript http://lugl.info/3C
86. Implementation of a distributed computing system in Ruby on Rails Ruby on Rails is a framework based on MVC paradigm.
90. Tests as a proof of concept, most favorable environment, and a performance baseline.
91. Merelo et al. Browser-based distributed evolutionary computation: performance and scaling behavior, http://lugl.info/Ll Looking for a cool logo. Suggestions welcome
99. Let's go backpacking Binary bin-packing problem Maximize the weight of the content of a container respecting restrictions. Same setup used for experiments. Who needs a cluster?
#2: Thanks to Tomas Runarsson, who invited me and funded my stay here
#3: La mayor parte de los ordenadores están siempre enchufados, y no aprovechan más que un porcentaje muy bajo de su capacidad. De hecho, el aumento en capacidad de los ordenadores sólo está siendo útil para juegos que desperdician cada vez más ciclos de CPU y procesadores que gastan cada vez más electricidad. Es como lo que decía Chandler (el de friends) cuando se compró el ordenador nuevo... para juegos y eso
#4: Picture CC (like all the others in this presentation) taken from http://www.flickr.com/photos/pefectfutures/3313316367/in/photostream/
#5: Usually when you go to other pastures to take advantage of their CPU it's not because it's winter and you have none, but the issue holds anyways. Besides, the grass is greener always at the other side of the fence.
#6: A finales de los 90 hubo hasta media docena de empresas que vendían ciclos de CPU “sobrantes”: Popular Power, por ejemplo. Otros intentos son no comerciales: [email_address] , por ejemplo. Barabási fue quien introdujo el concepto de computación sigilosa: usando la comprobación de CRC de routers y tarjetas de red
#8: Los gusanos lo que tratan es de aprovecharse de la red para propagarse. Son programas que se reproducen y aprovechan la conexión de red para mandarse a sí mismos a otro ordenador. Si no los paras, claro, la puedes liar. De hecho, el gusano de Morris se replicó más de la cuenta por un error y tiró la Internet de aquella época. Creeper virus was detected on ARPANET infecting the Tenex operating system. Creeper gained access independently through a modem and copied itself to the remote system where the message, 'I'M THE CREEPER : CATCH ME IF YOU CAN.' was displayed. The Reaper program, itself a virus, was created to delete Creeper, the creators of both programs are unknown.
#9: Los gusanos ya no son simplemente formas de explorar la red hechas por un búlgaro en su sótano, sino verdaderas empresas criminales.
#10: El virus I Love You (VBS/Loveletter) era una obra de arte de la ingeniería social: a base de un tema llamativo, lograba que la gente ejecutara el programa. Blaster fue posiblemente uno de los primeros virus, junto con Ramen (para RedHat) que no necesitaba intervención humana para propagarse: simplemente, un ordenador encendido. Santy fue uno de los primeros que se propagaba solito, usando Google y todo para buscar nuevos objetivos. Se acabó su propagación cuando Google filtró la búsqueda. Pero no siempre vamos a tener esa suerte.
#11: Ya el blaster estaba programado para atacar windowsupdate.com en una fecha determinada. Lo que ocurre con las botnets es que son flexibles, y tienen objetivos que pueden variar. No hay nada más sigiloso que estos zombies; de hecho, se les llama zombies porque son inconscientes de lo que llevan. Estos ordenadores zombies son simplemente ordenadores infectados por un virus que lleva asociado un troyano. Ese troyano abre una puerta trasera, que permite controlarlo desde fuera.
#12: Muchas botnets se usan para enviar spam. Hoy en día, la mayoría del spam (entre el 50 y el 80%) procede de ordenadores zombies atrapados en botnets, de hecho. Algunas también instalan adware o spyware de algún fabricante que lo solicita. Por ejemplo, el ataque del gusano Mocbot en septiembre, instalaba un programa de DollarRevenue que le reportó en 24 horas 400 y pico dólares (entre un céntimo y unos 20 por instalación) En 2004, una serie de botnets atacaron sitios de apuestas online; se pedía entre 10 y 50000 dólares para evitar el ataque.
#13: La creación de botnets es una verdadera empresa. Son programas con sus ciclos de desarrollo, prueba, mejora, creación de diferentes versiones... Pero lo importante es que su uso se ha convertido en una empresa criminal. Los botnet herders , o pastores de la grey de bots, venden sus servicios a spammers y demás gente de mal vivir por un precio. O los más amigos de trabajar por su cuenta directamente extorsionan a empresarios amenazándoles con un ataque de denegación de servicio.
#19: No es computación tan sigilosa; de hecho, tiene unos colores que no son exactamente de camuflaje. Pero sólo usa capacidad sobrante. ¿Qué pasó en el año 96-98 para que empezaran a surgir este tipo de proyectos? Claramente, existía ese excedente de recursos. Y ya llevaba 4-5 años la web funcionando, y la gente empezaba a tener en casa ordenadores conectados de forma permanente. Curiosamente, el Napster surgió un año después, en 1999. La primera mensajería instantánea, ICQ, surge también en 1996. Una mensajería instantánea necesita conexión permanente, porque usa su propio protocolo de direccionamiento.
#20: El proyecto más célebre es el [email_address] que aparece en la ilustración. Pero hay muchos proyectos similares. [email_address] Busca signos de inteligencia extraterrestre analizando señales de radiotelescopios en busca de patrones regulares. No hace falta decir que no ha encontrado nada nunca, pero si le sirvió a alguien para encontrar el portátil de su esposa, que se lo habían guindado. Como en los registros de SETI aparecen las Ips a las que está conectada un nombre de usuario determinado, descubrieron que el chorizo se había conectado desde una IP determinada, lo rastrearon... La esposa declaró “Sabía que casarme con un informático serviría de algo”
#21: Hoy en día, cualquiera se puede montar un proyecto similar usando BOINC, un sistema con origen en [email_address] y basado en un servidor con MySQL y PHP.
#22: Esto introduce un factor social en este tipo de arquitecturas. Dar ciclos está bien, pero tiene que haber algún tipo de incentivo: pantallazos chulos, tu nombre en una lista de equipos ganadores, los ordenadores de tu empresa los más potentes y los que van mejor. El sistema de créditos sirve para eso. Por supuesto, si se trata de encontrar algo, el que lo encuentre querrá que se sepa.
#25: All kind of social issues have to be taken into account, and that's a constant in volunteer/sneaky computing.
#26: Now they are using GPUs, PS3 and all kind of new devices. Data from boinc.berkeley.edu/boinc_papers/internet/paper.pdfboinc.berkeley.edu/boinc_papers/internet/paper.pdf (latest paper published on the subject, 2006) If the social plart was not considered, overall performance would decrease and/or be less predictable.
#27: Foto de: http://www.flickr.com/photos/williamhook/1983337986/ http://folding.stanford.edu/English/FAQ-Petaflop Data for Folding@home
#29: http://www.flickr.com/photos/netkismet/3232590025/in/photostream/ Actually, it's 4000 times slower than doing it on a sigle computer; a computer is needed per cell.
#30: http://www.flickr.com/photos/zooboing/4702020006/in/photostream/ It's indeed similar to mercury tube memories, which were originaly used int the 40s to keep radar signals
#31: Picture adapted from here http://www.flickr.com/photos/helico/404640681/
#34: JavaScript está construido alrededor de una serie de estándares ECMA. http://en.wikipedia.org/wiki/Ajax_(programming ) En realidad, hay otras formas de interaccionar de forma asíncrona entre el navegador y el servidor; ahora mismo, ésta es la más popular. Besides, there are new facilities in HTML5 which will make stuff even easier. XMLHttpRequesst is on its way to become a standard, being in the stage of the last working draft http://en.wikipedia.org/wiki/XMLHttpRequest
#35: Image taken from http://www.adaptivepath.com/ideas/essays/archives/000385.php
#37: Se podría haber usado un entorno diferente. En realidad, tampoco se usa excesivamente RoR y puede ser incluso una rémora a la hora de conseguir altas prestaciones. La gran ventaja que tiene es la integración con ajax. Es muy fácil hacer llamadas AJAX. Pero quizás hoy lo haría en otro lenguaje: Perl o usando el Google Web Toolkit. También se podría usar un entorno totalmente diferente: Microsoft .Net, por ejemplo, o Ruby. Pero no sería tan ubicuo.
#38: En principio, se podría usar otro cualquiera. De hecho, es posible que lo cambiemos, según el “peso” de la aplicación vaya del servidor al cliente. Pero el desarrollo en RoR es rápido, y tiene una comunidad activa
#43: En mi casa, con mi ordenador de sobremesa, y dos portátiles, el mío y el que le compramos a Lourdes, dos VAIO.
#45: El Opera parte la pana, y en un experimento masivo, puede conseguir muchas mejores prestaciones. Lo que ocurre es que no siempre se puede elegir.
#46: No es como para tirar cohetes, pero algo se consigue. El problema es que RoR (mongrel) tiene una sola hebra de salida, y en estas condiciones se producen bloqueos para servir al cliente los resultados. Tampoco está optimizado en este sentido. Está en modo debug y no producción (aunque esto afectaría sobre todo a las prestaciones por nodo, no al escalado). En pruebas hechas con clusters de nodos se han conseguido mejores resultados, pero la aplicación no está hecha para trabajar con muchos nodos clientes. Así que hay que plantearse un cambio en el servidor, o en la distribución cliente-servidor
#49: Microsiervos lo publicó aquí: http://www.microsiervos.com/archivo/ordenadores/experimento-computacion-distribuida.html There are power laws all over the place, which can be correlated with the incoming links and popularity of the site it's announced in. Once again, there are social factors which influence performance.