Ambient Intelligence is a concept of future environment near us, with ubiquitous means hidden computing around us without electronics being visible...the future the way you everybody wants: ).
A brief introduction to Ambient Intelligence and a proposed application concept.
For more visit http://www.EngineeringMentor.com
The document discusses pervasive computing, which refers to microprocessors being embedded everywhere and computing being available anywhere. It is enabled by technologies like mobile internet access, wireless communication, and Bluetooth. Pervasive computing allows access from any device, on any network, with any data. It aims to spread intelligence and connectivity to more or less everything, from ships and aircrafts to coffee mugs and the human body. Some principles of pervasive computing include anytime/anywhere access, physical integration between computing nodes and the physical world, and instantaneous interoperation between devices. Examples of applications include smart clothing, interactive flexible posters, and pill cameras.
Ambient intelligence (AmI) refers to digital environments that are sensitive and responsive to human presence. AmI is based on ubiquitous computing, communication, and intelligent user interfaces. It aims to empower users through context-aware and adaptive technologies. Key challenges include privacy and security as AmI systems collect extensive user data and monitor environments. Potential applications include smart homes, healthcare, transportation, education, emergency response, and industry.
The document provides an overview of ambient intelligence (AmI) and discusses related technology trends. It defines AmI as sensitive, intelligent, responsive, adaptive, ubiquitous and transparent systems that are able to sense and understand their environment in order to respond to the needs of people in an unobtrusive way. The document outlines some of the main research areas in AmI, including smart homes and notifications, and provides examples of university projects developing AmI technologies and applications.
Pervasive/ubiquitous computing refers to embedding microprocessors in everyday objects to communicate information and connect devices. The goal is for connectivity to be unobtrusive and always available. Key aspects include wireless technologies, advanced electronics, and the internet connecting smart products. Challenges include creating seamless integration between technology and users.
Ubiquitous computing is one of the most prodiously growing topic which will be covering all facets of life.In the course of ordinary activities, someone "using" ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. This model is considered an advancement from the older desktop paradigm. More formally, ubiquitous computing is defined as "machines that fit the human environment instead of forcing humans to enter theirs".
Ubiquitous computing (ubicomp) refers to computers integrated into everyday objects and activities. The goal is to create an environment where connectivity between devices is always available but unobtrusive. Examples of ubicomp devices include digital audio players, RFID tags, smartphones, and interactive whiteboards. Mark Weiser is considered the father of ubiquitous computing and coined the term in the 1980s.
From Non-Intelligent to Intelligent Environments: a Computational and Ambient...Ahmad Lotfi
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Ambient Intelligence refers to a digital environment that proactively supports people in their daily lives. It is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapting according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce energy consumption and thus the cost of facilities, improve safety and security, while at the same time increase user’s comfort.
One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with different cognitive and physical disabilities. For example, technologies are available to help older adults to live longer and more independently in their own homes. To enhance the intelligence of the environment, Computational Intelligence techniques as a set of nature-inspired computational methodologies are available to address such complex problems for which traditional approaches are ineffective.
This lecture will provide a review of the technologies and environments that comprise Ambient Intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
This document provides an overview of ambient intelligence (AmI). It defines AmI as a paradigm that replaces conventional input/output devices with sensors and processors, enabling objects to communicate and interact with users naturally. The document outlines a generic AmI architecture consisting of sensors, actuators, middleware, and AI reasoning. Examples of AmI systems for personalized sports training and elderly assisted living are described. The promises of AmI include more convenient access to data and helpful behaviors from AI, but dangers include threats to privacy from increased data collection. The future of AmI may include greater social and emotional intelligence and scaling to support multiple users.
Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence.
Adaptive Ambient Intelligence and Smart EnvironmentsAhmad Lotfi
Â
Ambient Intelligence is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapt according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce the energy consumption, increase user’s comfort, improve security and productivity, etc. One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with disabilities. In my presentation, I will provide a review of the technologies and environments that comprises ambient intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Ambient Intelligence made by Shifali JindalShifaliJindal
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Ambient intelligence is an emerging discipline that brings intelligence to everyday environments through hidden interfaces that recognize users and adapt to their needs. It is built on technologies like ubiquitous computing, communication and intelligent user interfaces. The key steps involve sensing a user's environment and activities, reasoning to interpret context and predict needs, and acting by automating systems or providing notifications. Applications include smart homes, healthcare, transportation, education and more. Challenges remain around privacy, interoperability, reliability and resource constraints.
Pervasive Computing : You're Already Knee Deep In ItRob Manson
Â
Presentation for Web Directions South 2009 on Pervasive Computing that outlines 5 key metrics that can be used to measure how pervasive computing is collapsing your sense of space.
These measurements can be used to define and refine specific elements of a business model to make your operating and distribution platforms more pervasive.
Conversational Architecture, CAVE Language, Data StewardshipLoren Davie
Â
These are the slides from the presentation I gave at the Semiotics Web meetup group on Nov 1st 2014. In this talk I discussed the emergency of the ubiquitous Internet, how to discuss the design of contextual apps, and presented an approach to privacy concerns that are inherently connected.
Technology connects us to our environment and makes our lives easier and more enjoyable. As technology advances, we will rely on it more to simplify tasks and provide entertainment. It fosters interactions between people and our digital world.
I hear voices: Explorations of multidevice experiences with conversational as...Karen Kaushansky
Â
This document discusses conversational assistants and their personas. It provides examples of the personas for Siri, Cortana, Google Now, Alexa and others. It also discusses developing a consistent persona to improve user experience and engagement. The document explores multi-device experiences and how assistants can shift between devices depending on context. It suggests assistants should have an awareness of capabilities across devices and apps to provide seamless experiences for users.
Pervasive computing and its Security IssuesPhearin Sok
Â
This document outlines key aspects of pervasive computing including:
1. It discusses the evolution of computing from mainframes to personal computers to the emerging era of pervasive computing.
2. It describes the architecture of pervasive computing including applications, middleware, intelligent computing, mobile computing, context-awareness and affective computing components.
3. It examines wireless communication technologies used in pervasive computing like Zigbee, Bluetooth, WiFi and discusses security issues with vulnerabilities in these wireless systems including denial of service attacks, eavesdropping and message injection.
Products are Services, how ubiquitous computing changes designMike Kuniavsky
Â
As more products, from tablets to bathroom scales to washing machines go online, our relationship to them changes. We start to think of them as representatives of online services, and to think of services as represented by products. Ubiquitous computing changes our understanding of where the boundaries of a hardware product and a service stop, and fundamentally challenges how we design both.
This document discusses pervasive computing, which involves embedding microprocessors in everyday objects to allow ubiquitous communication and sharing of digital information. Key points include:
- Pervasive computing aims to make technologies seamlessly integrated into daily life through miniaturized, networked "smart objects".
- It builds upon distributed and mobile computing trends towards constant connectivity anywhere.
- Major challenges include scaling the technology as more devices connect, integrating heterogeneous systems, and ensuring user privacy and interface invisibility.
- Research initiatives like Oxygen, Aura and Cooltown aim to advance this vision of ambient intelligence through objects and environments that are responsive to human needs.
This document discusses ambient intelligence, which brings intelligence to everyday environments through hidden interfaces that recognize users and adapt to their needs. It describes key characteristics of being human-centric, embedded, context-aware, personalized and adaptive. The technologies that enable ambient intelligence are ubiquitous computing, ubiquitous communication and intelligent user interfaces. Applications include smart homes, healthcare, education and public transport. Research challenges include modeling multiple users, designing self-repairing software, and ensuring security and privacy.
Understanding the New World of Cognitive ComputingDATAVERSITY
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Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business?
In this webinar a panel of experts in Cognitive Computing will discuss the technology, the current practical applications, and where this technology is going. The discussion will start with a review of a recent survey produced by DATAVERSITY on how Cognitive Computing is currently understood by your peers. The panel will also review many components of the technology including:
Cognitive Analytics
Machine Learning
Deep Learning
Reasoning
And next generation artificial intelligence (AI)
And get involved in the discussion with your own questions to present to the panel.
The Resin.io team has brought Docker to IoT in a big way. Shaun will walk through the ways in which his team has enabled resin.io's container-powered edge device management platform to work with all sorts of linux-based devices. These include the Raspberry Pi, Beaglebone, Intel Edison, NUC, Hummingboard and countless custom boards. This talk will include an overview of the toolchain (Docker, Yocto, meta-resin), the approach, the customer use cases, and how you can get involved.
Pervasive computing involves embedding tiny microprocessors in everyday objects to enable wireless communication between devices and people. It allows devices to autonomously connect and share information. The layers of pervasive networking include the network layer, access layer, device layer, human-machine interaction layer, and human core layer. A tele-home healthcare system uses these principles to monitor patients' health and alert hospitals and contacts if emergencies occur. While pervasive computing provides convenient access to information, privacy and security are major challenges.
Ubiquitous computing aims to embed computers into everyday objects to make them invisible. It was envisioned by Mark Weiser as computers spreading into everything around us. Key aspects are devices interacting and coordinating without needing direct human interaction. Challenges include retrofitting environments for ubiquitous computing and ensuring impromptu interoperability and privacy between connected devices.
This document summarizes a report on cognitive computing trends from IBM. It discusses how [1] cognitive computing is already in use with increased adoption by early adopters and startups, [2] various technologies like machine learning, natural language processing, and predictive analytics will continue to advance, and [3] leading enterprises are aggressively pursuing cognitive solutions to address industries like healthcare, banking, and manufacturing. It also notes challenges to further adoption like demonstrating clear ROI and use cases.
Fog computing is a model that processes data and applications at the edge of the network, rather than sending all data to the cloud. It helps address issues with IoT networks like high latency and bandwidth usage. Fog computing can overcome cloud limitations by keeping data local, reducing congestion and improving security. It is well-suited for applications that require real-time, localized processing like connected vehicles, smart grids, smart cities, and healthcare. Fog computing lowers costs and improves efficiencies compared to relying solely on cloud infrastructure.
In laymen's term, this is a file system that realizes hot and cold data identification, moving cold data to secondary storage (dropbox here), retrieving cold data from secondary storage as an essential activity.
In this project we implemented this file system and handled all the general and specific cases to allow seamless transfer of data from hot to cold and cold to hot.
Paradigm Wars: Object Oriented Vs Functional Programming in creating MarkParserRohit Arora
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In this project my team and I tried our hands-on Functional Programming. Our aim was to compare challenges, efforts, and ease in developing a same application "MarkParser" (a Markdown parser) using both the paradigms.
Introduction to Git/Github - A beginner's guideRohit Arora
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Introduction to Git/Github - A beginner's guide
Agenda:
Installing Git
Introduction to Version Control
Git Basics
Creating a new local Git repository
Cloning a Git repository
Making use of Git commit history
Reverting files to previous states
Creating a Github Repository
Adding, Committing & Pushing changes
Branching
Merging Branches
Sending Pull Requests
Conflict Resolution
and 3 Exercises
From Non-Intelligent to Intelligent Environments: a Computational and Ambient...Ahmad Lotfi
Â
Ambient Intelligence refers to a digital environment that proactively supports people in their daily lives. It is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapting according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce energy consumption and thus the cost of facilities, improve safety and security, while at the same time increase user’s comfort.
One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with different cognitive and physical disabilities. For example, technologies are available to help older adults to live longer and more independently in their own homes. To enhance the intelligence of the environment, Computational Intelligence techniques as a set of nature-inspired computational methodologies are available to address such complex problems for which traditional approaches are ineffective.
This lecture will provide a review of the technologies and environments that comprise Ambient Intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
This document provides an overview of ambient intelligence (AmI). It defines AmI as a paradigm that replaces conventional input/output devices with sensors and processors, enabling objects to communicate and interact with users naturally. The document outlines a generic AmI architecture consisting of sensors, actuators, middleware, and AI reasoning. Examples of AmI systems for personalized sports training and elderly assisted living are described. The promises of AmI include more convenient access to data and helpful behaviors from AI, but dangers include threats to privacy from increased data collection. The future of AmI may include greater social and emotional intelligence and scaling to support multiple users.
Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence.
Adaptive Ambient Intelligence and Smart EnvironmentsAhmad Lotfi
Â
Ambient Intelligence is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapt according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce the energy consumption, increase user’s comfort, improve security and productivity, etc. One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with disabilities. In my presentation, I will provide a review of the technologies and environments that comprises ambient intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Ambient Intelligence made by Shifali JindalShifaliJindal
Â
Ambient intelligence is an emerging discipline that brings intelligence to everyday environments through hidden interfaces that recognize users and adapt to their needs. It is built on technologies like ubiquitous computing, communication and intelligent user interfaces. The key steps involve sensing a user's environment and activities, reasoning to interpret context and predict needs, and acting by automating systems or providing notifications. Applications include smart homes, healthcare, transportation, education and more. Challenges remain around privacy, interoperability, reliability and resource constraints.
Pervasive Computing : You're Already Knee Deep In ItRob Manson
Â
Presentation for Web Directions South 2009 on Pervasive Computing that outlines 5 key metrics that can be used to measure how pervasive computing is collapsing your sense of space.
These measurements can be used to define and refine specific elements of a business model to make your operating and distribution platforms more pervasive.
Conversational Architecture, CAVE Language, Data StewardshipLoren Davie
Â
These are the slides from the presentation I gave at the Semiotics Web meetup group on Nov 1st 2014. In this talk I discussed the emergency of the ubiquitous Internet, how to discuss the design of contextual apps, and presented an approach to privacy concerns that are inherently connected.
Technology connects us to our environment and makes our lives easier and more enjoyable. As technology advances, we will rely on it more to simplify tasks and provide entertainment. It fosters interactions between people and our digital world.
I hear voices: Explorations of multidevice experiences with conversational as...Karen Kaushansky
Â
This document discusses conversational assistants and their personas. It provides examples of the personas for Siri, Cortana, Google Now, Alexa and others. It also discusses developing a consistent persona to improve user experience and engagement. The document explores multi-device experiences and how assistants can shift between devices depending on context. It suggests assistants should have an awareness of capabilities across devices and apps to provide seamless experiences for users.
Pervasive computing and its Security IssuesPhearin Sok
Â
This document outlines key aspects of pervasive computing including:
1. It discusses the evolution of computing from mainframes to personal computers to the emerging era of pervasive computing.
2. It describes the architecture of pervasive computing including applications, middleware, intelligent computing, mobile computing, context-awareness and affective computing components.
3. It examines wireless communication technologies used in pervasive computing like Zigbee, Bluetooth, WiFi and discusses security issues with vulnerabilities in these wireless systems including denial of service attacks, eavesdropping and message injection.
Products are Services, how ubiquitous computing changes designMike Kuniavsky
Â
As more products, from tablets to bathroom scales to washing machines go online, our relationship to them changes. We start to think of them as representatives of online services, and to think of services as represented by products. Ubiquitous computing changes our understanding of where the boundaries of a hardware product and a service stop, and fundamentally challenges how we design both.
This document discusses pervasive computing, which involves embedding microprocessors in everyday objects to allow ubiquitous communication and sharing of digital information. Key points include:
- Pervasive computing aims to make technologies seamlessly integrated into daily life through miniaturized, networked "smart objects".
- It builds upon distributed and mobile computing trends towards constant connectivity anywhere.
- Major challenges include scaling the technology as more devices connect, integrating heterogeneous systems, and ensuring user privacy and interface invisibility.
- Research initiatives like Oxygen, Aura and Cooltown aim to advance this vision of ambient intelligence through objects and environments that are responsive to human needs.
This document discusses ambient intelligence, which brings intelligence to everyday environments through hidden interfaces that recognize users and adapt to their needs. It describes key characteristics of being human-centric, embedded, context-aware, personalized and adaptive. The technologies that enable ambient intelligence are ubiquitous computing, ubiquitous communication and intelligent user interfaces. Applications include smart homes, healthcare, education and public transport. Research challenges include modeling multiple users, designing self-repairing software, and ensuring security and privacy.
Understanding the New World of Cognitive ComputingDATAVERSITY
Â
Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business?
In this webinar a panel of experts in Cognitive Computing will discuss the technology, the current practical applications, and where this technology is going. The discussion will start with a review of a recent survey produced by DATAVERSITY on how Cognitive Computing is currently understood by your peers. The panel will also review many components of the technology including:
Cognitive Analytics
Machine Learning
Deep Learning
Reasoning
And next generation artificial intelligence (AI)
And get involved in the discussion with your own questions to present to the panel.
The Resin.io team has brought Docker to IoT in a big way. Shaun will walk through the ways in which his team has enabled resin.io's container-powered edge device management platform to work with all sorts of linux-based devices. These include the Raspberry Pi, Beaglebone, Intel Edison, NUC, Hummingboard and countless custom boards. This talk will include an overview of the toolchain (Docker, Yocto, meta-resin), the approach, the customer use cases, and how you can get involved.
Pervasive computing involves embedding tiny microprocessors in everyday objects to enable wireless communication between devices and people. It allows devices to autonomously connect and share information. The layers of pervasive networking include the network layer, access layer, device layer, human-machine interaction layer, and human core layer. A tele-home healthcare system uses these principles to monitor patients' health and alert hospitals and contacts if emergencies occur. While pervasive computing provides convenient access to information, privacy and security are major challenges.
Ubiquitous computing aims to embed computers into everyday objects to make them invisible. It was envisioned by Mark Weiser as computers spreading into everything around us. Key aspects are devices interacting and coordinating without needing direct human interaction. Challenges include retrofitting environments for ubiquitous computing and ensuring impromptu interoperability and privacy between connected devices.
This document summarizes a report on cognitive computing trends from IBM. It discusses how [1] cognitive computing is already in use with increased adoption by early adopters and startups, [2] various technologies like machine learning, natural language processing, and predictive analytics will continue to advance, and [3] leading enterprises are aggressively pursuing cognitive solutions to address industries like healthcare, banking, and manufacturing. It also notes challenges to further adoption like demonstrating clear ROI and use cases.
Fog computing is a model that processes data and applications at the edge of the network, rather than sending all data to the cloud. It helps address issues with IoT networks like high latency and bandwidth usage. Fog computing can overcome cloud limitations by keeping data local, reducing congestion and improving security. It is well-suited for applications that require real-time, localized processing like connected vehicles, smart grids, smart cities, and healthcare. Fog computing lowers costs and improves efficiencies compared to relying solely on cloud infrastructure.
In laymen's term, this is a file system that realizes hot and cold data identification, moving cold data to secondary storage (dropbox here), retrieving cold data from secondary storage as an essential activity.
In this project we implemented this file system and handled all the general and specific cases to allow seamless transfer of data from hot to cold and cold to hot.
Paradigm Wars: Object Oriented Vs Functional Programming in creating MarkParserRohit Arora
Â
In this project my team and I tried our hands-on Functional Programming. Our aim was to compare challenges, efforts, and ease in developing a same application "MarkParser" (a Markdown parser) using both the paradigms.
Introduction to Git/Github - A beginner's guideRohit Arora
Â
Introduction to Git/Github - A beginner's guide
Agenda:
Installing Git
Introduction to Version Control
Git Basics
Creating a new local Git repository
Cloning a Git repository
Making use of Git commit history
Reverting files to previous states
Creating a Github Repository
Adding, Committing & Pushing changes
Branching
Merging Branches
Sending Pull Requests
Conflict Resolution
and 3 Exercises
This project was carried as a semester project requirement for CSC 522 Automated Learning & Data Mining.
The project focuses on predicting forest cover type in the 4 Wilderness Areas of Roosevelt National Park located at Colorado.
The data for the project was obtained from Kaggle (it is also hosted on UCI repository under the name "forest cover type").
We obtained incremental improvement with every new classification technique we tried and simultaneously our Kaggle ranking also went up.
The project aimed at developing Facility Booking System (FBS), an intranet based solution at NPL for reserving and tracking all the Facilities at NPL, by designing an algorithm for optimal utilization of resources. One of the major challenges for the project was to incorporate Google-Calendar like interface to view and select appointments. (This project/software was not part of any curriculum requirement).
The document describes an Advanced Traveler's Information System (ATIS) that finds the shortest path and estimated time for travel between locations in Delhi, India. It uses Dijkstra's algorithm to calculate the optimal route given time and road constraints. The system displays the route on a map, and allows the user to save, print, and view details about the path. It includes a basic web browser for navigation. Future improvements could integrate real-time traffic and transportation data to provide more dynamic routing options.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
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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!
đź“• 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/.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
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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.
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?
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
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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.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
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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
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
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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.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
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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
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.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
Â
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.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
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We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
đź“„ Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
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Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
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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