This is a prototype of content personalization using a genetic algorithm. Sitecore can now automatically select content for any given user based on their previous viewing history.
This document discusses autonomous vehicles and provides details on their technology. It describes how autonomous vehicles use sensors like LIDAR and cameras along with software and artificial intelligence to navigate roads. The AI processes data from these hardware sensors and Google Maps to determine how the vehicle should accelerate, brake, and steer. It also discusses some of the pros and cons of autonomous vehicles and references sources for further information.
Nishant Sing presented on driverless cars for his final year seminar at KIIT University, guided by Dr. Prachet Bhuyan. Driverless cars can travel from point A to point B without human interaction using sensors and software to locate itself and monitor its surroundings. It works using GPS, radar, lasers and cameras while obeying traffic laws. The car is limited to 25 mph for safety and has redundant systems for steering and braking. Advantages include reducing accidents and increasing road capacity, while limitations include potential hacking risks and inability to handle some conditions like snow. Driverless cars aim to minimize accidents by addressing causes like human error.
This document lists different modes of transportation and their corresponding image URLs. It includes airplane, bicycle, bus, car, helicopter, horse, and scooter. For each transportation type, the name is provided along with the URL linking to its image. The document aims to provide a simple listing of transportation images and their online locations.
This document discusses driverless cars, including what they are, their history and components. It explains that driverless cars can steer themselves, maintain the correct speed and stop/go based on traffic conditions. The technology integrates Google Maps with sensors and AI to allow cars to drive autonomously. Some advantages are fewer accidents from human error and increased road capacity, while disadvantages include potential hacking risks and high costs.
4 between digital and physical identities uses of ict by greek spa establis...Francesco Zaralli
This document analyzes how Greek spa establishments use information and communication technologies (ICTs) to portray cultural heritage and economic development. It examines the websites of several spas in Greece, including Apollonia Spa, Baths of Langadas, and Mud Baths of Krinides. The websites highlight local history and attractions through photos and text about amenities like pools, baths, and wellness services. They aim to promote tourism by presenting cultural and natural resources.
What Every Software Engineer Should Know About Machine Learning - Peter NorvigWithTheBest
I discuss how machine learning has great potential for innovation and how machine learning can be applied to various aspects of technology.
Peter Norvig, Director of Research at Google Inc.
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.[1][2]:2 Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.
Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning.[3][4] In its application across business problems, machine learning is also referred to as predictive analytics.
The document discusses using computational intelligence techniques like evolutionary algorithms and neural networks to develop intelligent controllers for racing games. It describes optimizing controllers to achieve fast lap times, innovating new controller behaviors through evolution, and imitating human player styles. Racing games are proposed as a good test environment for evolutionary robotics research due to their complex simulated environments and scoring systems. The authors' research evolved neural network controllers for an RC car simulation and controllers for competitive multi-car racing. Developing personalized racing tracks tailored to individual human playing styles is also discussed.
This document discusses autonomous vehicles and provides details on their technology. It describes how autonomous vehicles use sensors like LIDAR and cameras along with software and artificial intelligence to navigate roads. The AI processes data from these hardware sensors and Google Maps to determine how the vehicle should accelerate, brake, and steer. It also discusses some of the pros and cons of autonomous vehicles and references sources for further information.
Nishant Sing presented on driverless cars for his final year seminar at KIIT University, guided by Dr. Prachet Bhuyan. Driverless cars can travel from point A to point B without human interaction using sensors and software to locate itself and monitor its surroundings. It works using GPS, radar, lasers and cameras while obeying traffic laws. The car is limited to 25 mph for safety and has redundant systems for steering and braking. Advantages include reducing accidents and increasing road capacity, while limitations include potential hacking risks and inability to handle some conditions like snow. Driverless cars aim to minimize accidents by addressing causes like human error.
This document lists different modes of transportation and their corresponding image URLs. It includes airplane, bicycle, bus, car, helicopter, horse, and scooter. For each transportation type, the name is provided along with the URL linking to its image. The document aims to provide a simple listing of transportation images and their online locations.
This document discusses driverless cars, including what they are, their history and components. It explains that driverless cars can steer themselves, maintain the correct speed and stop/go based on traffic conditions. The technology integrates Google Maps with sensors and AI to allow cars to drive autonomously. Some advantages are fewer accidents from human error and increased road capacity, while disadvantages include potential hacking risks and high costs.
4 between digital and physical identities uses of ict by greek spa establis...Francesco Zaralli
This document analyzes how Greek spa establishments use information and communication technologies (ICTs) to portray cultural heritage and economic development. It examines the websites of several spas in Greece, including Apollonia Spa, Baths of Langadas, and Mud Baths of Krinides. The websites highlight local history and attractions through photos and text about amenities like pools, baths, and wellness services. They aim to promote tourism by presenting cultural and natural resources.
What Every Software Engineer Should Know About Machine Learning - Peter NorvigWithTheBest
I discuss how machine learning has great potential for innovation and how machine learning can be applied to various aspects of technology.
Peter Norvig, Director of Research at Google Inc.
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.[1][2]:2 Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.
Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning.[3][4] In its application across business problems, machine learning is also referred to as predictive analytics.
The document discusses using computational intelligence techniques like evolutionary algorithms and neural networks to develop intelligent controllers for racing games. It describes optimizing controllers to achieve fast lap times, innovating new controller behaviors through evolution, and imitating human player styles. Racing games are proposed as a good test environment for evolutionary robotics research due to their complex simulated environments and scoring systems. The authors' research evolved neural network controllers for an RC car simulation and controllers for competitive multi-car racing. Developing personalized racing tracks tailored to individual human playing styles is also discussed.
2019 Sitecore Symposium Theater Talk: AI and AX the Sitecore Power CoupleMark Stiles
This document discusses how artificial intelligence (AI) and augmented experience (AX) can simplify complex content authoring processes. It outlines challenges with content production, tagging, personalization, and mobile authoring. It then describes how AI capabilities like image search, chat authoring, natural language search, transcription, auto tagging, and personalization rules can help address these challenges. The document promotes NuGet, GitHub, blog, and company resources to learn more about using AI and AX with Sitecore to enable magical digital experiences.
2019 Sitecore Symposium Connect With Your Audience in a Whole New WayMark Stiles
Want to know what your customers are looking for? Why not just ask them! With cutting-edge AI language parsing tools, you can talk to your audience directly and take action immediately on what they say. Setup personalization more easily with a content authoring chat bot that walks you through the process. Improve search by allowing natural language questions. Walk through forms in a conversational way. Select a persona, trigger goals -- all with your audience's own words. With low-cost, easy to use AI APIs, your website can be wherever conversation happens.
I’m here today to talk about something I'm very passionate about: Machine learning. I want to talk about where the technology came from, where it is at now, show you what I’m working on. With a number of large software companies investing in turnkey, cloud based machine learning APIs covering language, vision, speech, social, analytics, search and knowledge. There is now a growing web of intelligence.
Now, knowing this, if someone were to ask you, is it worth building features with machine learning. What would you say?
Do you hear that… that’s the sound of change in the digital age.
Even though you didn’t hear anything, you know change is coming. This is the story of how Sitecore is changing from a Content Management System to a Content Learning System.
Sitecore User Group July 2019: Sitecore Says the Darndest ThingsMark Stiles
Find out how natural language algorithms are changing the user experience. Don't let your audience just hear your message; hear theirs too. Includes natural language searching, conversational field forms, article podcasting and voice enabled chat.
Sitecore Symposium 2018 - Supercharge Your Author Experience With Machine Lea...Mark Stiles
Learn about the practical ways we're using machine learning to reduce or eliminate tedious tasks in the Sitecore authoring experience. Demo includes examples of analyzed image search, smart image cropping, automated image alt tagging, assisted content tagging and using a chat bot to perform multi-step tasks.
Sitecore Skunkworks: Personalization using Machine LearningMark Stiles
Websites are becoming hives of activity, taking on a life greater than the sum of it's parts. The future of managing personalization isn't going to be manual; it will be automated. Learn how you can use a machine learning to empower you to personalize your website by automating content placement based on a variety of information and providing actionable analytic-based information to help you build content to feed the activity, allowing marketers to become self aware content designers.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2019 Sitecore Symposium Theater Talk: AI and AX the Sitecore Power CoupleMark Stiles
This document discusses how artificial intelligence (AI) and augmented experience (AX) can simplify complex content authoring processes. It outlines challenges with content production, tagging, personalization, and mobile authoring. It then describes how AI capabilities like image search, chat authoring, natural language search, transcription, auto tagging, and personalization rules can help address these challenges. The document promotes NuGet, GitHub, blog, and company resources to learn more about using AI and AX with Sitecore to enable magical digital experiences.
2019 Sitecore Symposium Connect With Your Audience in a Whole New WayMark Stiles
Want to know what your customers are looking for? Why not just ask them! With cutting-edge AI language parsing tools, you can talk to your audience directly and take action immediately on what they say. Setup personalization more easily with a content authoring chat bot that walks you through the process. Improve search by allowing natural language questions. Walk through forms in a conversational way. Select a persona, trigger goals -- all with your audience's own words. With low-cost, easy to use AI APIs, your website can be wherever conversation happens.
I’m here today to talk about something I'm very passionate about: Machine learning. I want to talk about where the technology came from, where it is at now, show you what I’m working on. With a number of large software companies investing in turnkey, cloud based machine learning APIs covering language, vision, speech, social, analytics, search and knowledge. There is now a growing web of intelligence.
Now, knowing this, if someone were to ask you, is it worth building features with machine learning. What would you say?
Do you hear that… that’s the sound of change in the digital age.
Even though you didn’t hear anything, you know change is coming. This is the story of how Sitecore is changing from a Content Management System to a Content Learning System.
Sitecore User Group July 2019: Sitecore Says the Darndest ThingsMark Stiles
Find out how natural language algorithms are changing the user experience. Don't let your audience just hear your message; hear theirs too. Includes natural language searching, conversational field forms, article podcasting and voice enabled chat.
Sitecore Symposium 2018 - Supercharge Your Author Experience With Machine Lea...Mark Stiles
Learn about the practical ways we're using machine learning to reduce or eliminate tedious tasks in the Sitecore authoring experience. Demo includes examples of analyzed image search, smart image cropping, automated image alt tagging, assisted content tagging and using a chat bot to perform multi-step tasks.
Sitecore Skunkworks: Personalization using Machine LearningMark Stiles
Websites are becoming hives of activity, taking on a life greater than the sum of it's parts. The future of managing personalization isn't going to be manual; it will be automated. Learn how you can use a machine learning to empower you to personalize your website by automating content placement based on a variety of information and providing actionable analytic-based information to help you build content to feed the activity, allowing marketers to become self aware content designers.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
3. Machine Learning
One day ladies will take their
computers for walks in the park
and tell each other, "My little
computer said such a funny thing
this morning."
-Alan Turing
: Alan Turing