Building Full Stack Conversational Apps for various platforms like Google Assistant, Slack, Messenger etc. using Dialogflow, Firebase, Cloud Functions and NodeJS
Designing XR Experiences with Speech & Natural Language Understanding in UnityUnity Technologies
Designing complex interactions for experiences that target XR headsets can be challenging due to the limited input schemes. Advances in Machine Learning (ML) now allow developers to easily leverage Natural Language Understanding through reusable techniques. The combination of XR+AI is a powerful integration that opens new possibilities for both gaming, entertainment and enterprise scenarios. This intermediate session is an exploration of how speech and language understanding can be used to augment Mixed Reality & VR experiences. We'll explore the use of speech recognition & Natural Language Understanding to build advanced voice commands, translate languages from within XR environments, and also look at the creation of intelligent conversation assistants to be used as interactive entities in Mixed Reality and VR apps & games. In a world where speech is the primary form of input, using Machine Learning to process language input and understand the user's intent is of paramount importance.
Nick Landry - Microsoft
How You Can Develop AI with the IBM Watson SDK for UnityUnity Technologies
Continuing advances in APIs and SDKs are democratizing AI, enabling anyone to be an AI developer, including you! But if you're not sure where to start, this session is for you. Learn how to leverage the IBM Watson SDK for Unity to create dynamic and unique experiences even if you're not an AI developer. At the end of this intro session, you'll have useful code snippets to get you up and running quickly on your own projects. Some experience scripting in Unity may help, but isn't required for this session.
Amara Keller - IBM
I'm afraid I don't have enough context to understand your full question. Could you please rephrase or provide some more details?
User: Sorry, let me try again. I'm looking for a recipe for a quick soup I can make with chicken and canned tomatoes. Do you have any suggestions?
Building conversation AI using Azure Bot & LUISNitin Raj
Conversational AI is another big topic in recent trend as most of the business started adopting conversation AI for
customer support services and internal support and operational activities. Natural interaction with language,
speech, and semantic understanding, and supporting multi model interaction. There are two main components
which are Bot and LUIS (Language Understanding Intelligent Service) / NLP (Natural Language Processing). There
are many tools and technologies are offering different services for Bot and LUIS /NLP. Here we will use Microsoft
tools as an example and build the demo from scratch and see how this work in real world example
Designing XR Experiences with Speech & Natural Language Understanding in UnityUnity Technologies
Designing complex interactions for experiences that target XR headsets can be challenging due to the limited input schemes. Advances in Machine Learning (ML) now allow developers to easily leverage Natural Language Understanding through reusable techniques. The combination of XR+AI is a powerful integration that opens new possibilities for both gaming, entertainment and enterprise scenarios. This intermediate session is an exploration of how speech and language understanding can be used to augment Mixed Reality & VR experiences. We'll explore the use of speech recognition & Natural Language Understanding to build advanced voice commands, translate languages from within XR environments, and also look at the creation of intelligent conversation assistants to be used as interactive entities in Mixed Reality and VR apps & games. In a world where speech is the primary form of input, using Machine Learning to process language input and understand the user's intent is of paramount importance.
Nick Landry - Microsoft
How You Can Develop AI with the IBM Watson SDK for UnityUnity Technologies
Continuing advances in APIs and SDKs are democratizing AI, enabling anyone to be an AI developer, including you! But if you're not sure where to start, this session is for you. Learn how to leverage the IBM Watson SDK for Unity to create dynamic and unique experiences even if you're not an AI developer. At the end of this intro session, you'll have useful code snippets to get you up and running quickly on your own projects. Some experience scripting in Unity may help, but isn't required for this session.
Amara Keller - IBM
I'm afraid I don't have enough context to understand your full question. Could you please rephrase or provide some more details?
User: Sorry, let me try again. I'm looking for a recipe for a quick soup I can make with chicken and canned tomatoes. Do you have any suggestions?
Building conversation AI using Azure Bot & LUISNitin Raj
Conversational AI is another big topic in recent trend as most of the business started adopting conversation AI for
customer support services and internal support and operational activities. Natural interaction with language,
speech, and semantic understanding, and supporting multi model interaction. There are two main components
which are Bot and LUIS (Language Understanding Intelligent Service) / NLP (Natural Language Processing). There
are many tools and technologies are offering different services for Bot and LUIS /NLP. Here we will use Microsoft
tools as an example and build the demo from scratch and see how this work in real world example
AWS User Group Singapore / Amazon Lex -- JAWSDAYS 2017Alex Smith
In this presentation, we cover the growth and experience of the AWS User Group Singapore. The second half covers the use of Amazon Lex to augment User Group activities
This was originally delivered at JAWSDAYS 2017 Tokyo:- http://jawsdays2017.jaws-ug.jp/session/1337/
Engage your users with a natural language conversational interface using voice and text.
You will learn how to:
– Create a chat bot to understand your users’ intentions and fulfil their requests.
– Engage in a conversation to extract key pieces of data from the user
– Fulfil the users’ intentions with AWS Lambda functions
– Integrate with Facebook Messenger
Azure Cognitive Services for DevelopersMarvin Heng
Azure Cognitive Services has been an AI solution that close to many developers's heart. They implement it in their applications easily. There are some new Microsoft Cognitive Services that are newly being introduced.
Exploring the Business Use Cases for Amazon Lex - June 2017 AWS Online Tech T...Amazon Web Services
Learning Objectives:
- Learn about applying conversational interfaces in applications through Amazon Lex
- Learn about popular use cases for Amazon Lex
- Learn how specific AWS customers have implemented Amazon Lex in different workflows
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex is now generally available, making it easy for developers to access the same deep learning technologies that power Amazon Alexa. In this tech talk, we will introduce Lex and walk through use cases for retail, travel and hospitality, and internal help desks, where Amazon Lex's automation engine creates the potential to reduce costs, improve service quality, and create new ways to access corporate information.
This document summarizes the process for creating a chatbot using DialogFlow. It discusses setting up an account, creating agents and intents, adding entities and parameters, setting up fulfillment through webhooks, and enabling integrations. The presentation provides examples of building a banking chatbot called JollofBank that can handle intents like account opening, funds transfer, transactions, and airtime recharge through fulfillment code.
Intelligent Assistant with Microsoft BotFrameworkMarvin Heng
A sharing of how difference pieces of technologies can be put together to be great solution for small businesses.
Technologies involved: Microsoft BotFramework, SignalR and ASP.NET Core on Azure.
www.techconnect.io
Youtube: https://www.youtube.com/watch?v=nwGFZA0h9k8&feature=youtu.be
SharePoint + Xamarin for Visual Studio provides ability to build great business mobile apps using C# as the main programming language. It can build apps for iOS, Android, Kindle Fire and more. Apps are built with standard, native user interface controls. Apps not only look the way the end user expects, they behave that way too. Xamarin Studio provides integration with Visual Studio, IDE for Mac as well as Windows IDE for Android development. Apps are build using familiar language(C#) and namespace base on .Net framework which we all have come to love. Your users will love using Apps that target to their personal device, which intern will increase productivity and business value.
Create real value in your business process by automated data and form extractionMarvin Heng
Business processes are crucial and documentation are often done with high human involvement. The possibilities of automating it can be valuable to us. Join us to explore, discuss and share more.
Deliver an Enhanced User Experience by Combining Azure, Teams and the Microso...Frederik Bisback
This document discusses combining Azure, Power Platform, and Microsoft Teams to deliver an enhanced user experience. It describes using Azure Blueprints to define repeatable resource deployments, a custom connector for the Azure Blueprints REST API, and Adaptive Cards in a Power App and Teams flow to automate a request and approval process. Key aspects covered include using Resource Manager templates in Blueprints, assigning policies, and the roadmap for using Adaptive Cards without coding in Power Virtual Agent.
This document provides an agenda and objectives for an Amazon Polly and Amazon Lex workshop. The agenda includes quick overviews of Polly and Lex, hands-on exercises for both Polly and Lex, and a summary. The objectives are to get hands-on experience with Polly and Lex and build a Lex bot. The overviews explain that Polly converts text to speech, Lex builds conversational interfaces, and the exercises provide example bots to build and links to follow.
Integrate Your Amazon Lex Chatbot with Any Messaging Service - May 2017 AWS O...Amazon Web Services
Learning Objectives:
- Learn how to setup and configure AWS API Gateway
- Learn how to leverage AWS Lambda as the compute layer in front of Amazon Lex
- Learn about Multi-bot architecture
Amazon Lex offers built-in integrations with Slack, Twilio, Marketo, Salesforce, Quickbooks, Microsoft Dynamics, Zendesk, and Hubspot. But, you can also integrate with any other application by combining the Lex API and AWS API Gateway to extend your chatbots into virtually any use case with minimal effort. This session will show you how. The design pattern shown will be interesting to folks who want to build a pre-processing layer in front of Lex or want to route messages to multiple specialized bots.
ML Kit is the SDK that makes machine learning features more straightforward for the mobile developers to incorporate in their apps. Since ML Kit has been made a core ingredient of Firebase ,its robust ML APIs can be implemented seamlessly in both android & IOS apps like it’s any other feature such as analytics, crashlytics etc.
The flexibility provided by ML Kit for mobile developers to use On-device or On-Cloud ML Apis as per the use case is quite significant . In this session we will take deep dive in the different ready to use APIs of ML Kit encapsulating the features of Mobile Vision, Google Cloud Vision API, TensorFlow Lite and Neural Network API.
Many businesses today should understand the importance of using AI to improve the business processes and delight customers.
We will show how you can use AI & ML technologies to get insights from processed data
PDCConf2021 - Serverless WhatsApp Chatbot with Azure AI.pptxLuis Beltran
This document discusses building a serverless image recognition chatbot for WhatsApp using Azure services. It begins with an overview of chatbots and their advantages. It then discusses using LUIS for natural language processing, Computer Vision API for image analysis, and Twilio API to integrate with WhatsApp. Live demos are provided of these Azure services, including using Azure Functions for serverless image processing. The document concludes with a final integrated demo of the chatbot and a call to action.
Multi-platform Compatibility of HTML5 by developing simple HTML5 based game(M...Himanshu Sharan
Exploited the multi-platform compatibility of HTML5 by developing a simple HTML5 based game using Phaser game development framework and Intel XDK multi-platform HTML5 application development IDE.
by Amit Narayanan, Solutions Architect, AWS
Amazon Lex is a service for building conversational interfaces into any application using voice and text, and Amazon Polly is a service that turns text into lifelike speech. This session combines both of these AWS services, the presenter will demonstrate how to build DevOps and Help Desk chatbots that feature spoken-voice interfaces, and explore the potential of bringing characters to life through interactive chatbots that improves customer engagement. Attendees will be provided with the foundational skills for those looking to enrich their applications with natural, conversational interfaces. Level 300
Moving Conversational bots off Your Product Roadmap And Into Your Workstreams...Grid Dynamics
88% of AI projects end up not making it into production. Discover how Google Dialogflow, built by Google Cloud AI, can help you inject Conversational AI into your workstreams to delight your customers and clients. Working with Google solutions can help address real world problems in various industries so AI initiatives do not end up sitting on a shelf.
The ability to keep up with the current digital revolution and ensure business continuity is dependent on the skills of Flutter App Development Services. When it comes to Flutter app development tools, businesses have many options. Additionally more agile than past methods, this one makes it simpler for engineers to write code. Google's backing is likely to directly cause Flutter's popularity to soar. To accomplish this successfully, you will require numerous extra development tools from other sources.
Why Is Flutter A Great Platform Amidst All Cross-Platform Apps?Netizens Technologies
From internal operations to sustaining customer interactions, a company needs to be organized in a variety of ways. For this, we require efficient, interactive software. Many in the sector, not just us, believe that going cross-platform with on-demand Flutter app development could result in good results. Let's learn the importance of Flutter App Development.
This document outlines an introductory Flutter study jam session that will teach developers the fundamentals of the Flutter framework. The session will include an introduction to Flutter basics, completing a first lab to build a Flutter app, and additional self-study assignments. Attendees will learn how to use Flutter to build high-quality mobile apps that run on iOS and Android, with features like hot reload for rapid iteration and a widgets system for customization. The goal is for attendees to build a basic Flutter app with real-world functionality.
Flutter is an open-source mobile app development framework created by Google that allows building Android and iOS apps using one codebase and programming language, Dart. The document discusses Flutter and Firebase, describing Flutter as a framework that offers hot reloading and reusable widgets. Firebase is presented as a real-time database and backend tool that provides a serverless alternative to writing custom backend code, saving development time and costs. Key features of Firebase mentioned are authentication, cost savings over custom backends, and machine learning capabilities.
Flutter is an open-source mobile app development framework created by Google that allows building Android and iOS apps using one codebase and programming language, Dart. The document discusses Flutter and Firebase, describing Flutter as a framework that offers hot reloading and reusable widgets. Firebase is presented as a real-time database and backend tool that provides a serverless alternative to writing custom backend code, saving development time and costs. Key features of Firebase mentioned are authentication, cost savings over custom backends, and machine learning capabilities.
The document summarizes resources being provided as part of the Flutter Festival event series to help developers learn Google technologies like Flutter, Firebase, and Google Cloud. It provides an overview of Flutter and what it allows developers to do. It then lists various workshops, quests, and codelabs that will be available for learning Dart, building Flutter apps, integrating Firebase, and getting familiar with Google Cloud essentials. The document encourages participants to use the learning resources to learn, create apps, and showcase their work in the developer community.
AWS User Group Singapore / Amazon Lex -- JAWSDAYS 2017Alex Smith
In this presentation, we cover the growth and experience of the AWS User Group Singapore. The second half covers the use of Amazon Lex to augment User Group activities
This was originally delivered at JAWSDAYS 2017 Tokyo:- http://jawsdays2017.jaws-ug.jp/session/1337/
Engage your users with a natural language conversational interface using voice and text.
You will learn how to:
– Create a chat bot to understand your users’ intentions and fulfil their requests.
– Engage in a conversation to extract key pieces of data from the user
– Fulfil the users’ intentions with AWS Lambda functions
– Integrate with Facebook Messenger
Azure Cognitive Services for DevelopersMarvin Heng
Azure Cognitive Services has been an AI solution that close to many developers's heart. They implement it in their applications easily. There are some new Microsoft Cognitive Services that are newly being introduced.
Exploring the Business Use Cases for Amazon Lex - June 2017 AWS Online Tech T...Amazon Web Services
Learning Objectives:
- Learn about applying conversational interfaces in applications through Amazon Lex
- Learn about popular use cases for Amazon Lex
- Learn how specific AWS customers have implemented Amazon Lex in different workflows
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex is now generally available, making it easy for developers to access the same deep learning technologies that power Amazon Alexa. In this tech talk, we will introduce Lex and walk through use cases for retail, travel and hospitality, and internal help desks, where Amazon Lex's automation engine creates the potential to reduce costs, improve service quality, and create new ways to access corporate information.
This document summarizes the process for creating a chatbot using DialogFlow. It discusses setting up an account, creating agents and intents, adding entities and parameters, setting up fulfillment through webhooks, and enabling integrations. The presentation provides examples of building a banking chatbot called JollofBank that can handle intents like account opening, funds transfer, transactions, and airtime recharge through fulfillment code.
Intelligent Assistant with Microsoft BotFrameworkMarvin Heng
A sharing of how difference pieces of technologies can be put together to be great solution for small businesses.
Technologies involved: Microsoft BotFramework, SignalR and ASP.NET Core on Azure.
www.techconnect.io
Youtube: https://www.youtube.com/watch?v=nwGFZA0h9k8&feature=youtu.be
SharePoint + Xamarin for Visual Studio provides ability to build great business mobile apps using C# as the main programming language. It can build apps for iOS, Android, Kindle Fire and more. Apps are built with standard, native user interface controls. Apps not only look the way the end user expects, they behave that way too. Xamarin Studio provides integration with Visual Studio, IDE for Mac as well as Windows IDE for Android development. Apps are build using familiar language(C#) and namespace base on .Net framework which we all have come to love. Your users will love using Apps that target to their personal device, which intern will increase productivity and business value.
Create real value in your business process by automated data and form extractionMarvin Heng
Business processes are crucial and documentation are often done with high human involvement. The possibilities of automating it can be valuable to us. Join us to explore, discuss and share more.
Deliver an Enhanced User Experience by Combining Azure, Teams and the Microso...Frederik Bisback
This document discusses combining Azure, Power Platform, and Microsoft Teams to deliver an enhanced user experience. It describes using Azure Blueprints to define repeatable resource deployments, a custom connector for the Azure Blueprints REST API, and Adaptive Cards in a Power App and Teams flow to automate a request and approval process. Key aspects covered include using Resource Manager templates in Blueprints, assigning policies, and the roadmap for using Adaptive Cards without coding in Power Virtual Agent.
This document provides an agenda and objectives for an Amazon Polly and Amazon Lex workshop. The agenda includes quick overviews of Polly and Lex, hands-on exercises for both Polly and Lex, and a summary. The objectives are to get hands-on experience with Polly and Lex and build a Lex bot. The overviews explain that Polly converts text to speech, Lex builds conversational interfaces, and the exercises provide example bots to build and links to follow.
Integrate Your Amazon Lex Chatbot with Any Messaging Service - May 2017 AWS O...Amazon Web Services
Learning Objectives:
- Learn how to setup and configure AWS API Gateway
- Learn how to leverage AWS Lambda as the compute layer in front of Amazon Lex
- Learn about Multi-bot architecture
Amazon Lex offers built-in integrations with Slack, Twilio, Marketo, Salesforce, Quickbooks, Microsoft Dynamics, Zendesk, and Hubspot. But, you can also integrate with any other application by combining the Lex API and AWS API Gateway to extend your chatbots into virtually any use case with minimal effort. This session will show you how. The design pattern shown will be interesting to folks who want to build a pre-processing layer in front of Lex or want to route messages to multiple specialized bots.
ML Kit is the SDK that makes machine learning features more straightforward for the mobile developers to incorporate in their apps. Since ML Kit has been made a core ingredient of Firebase ,its robust ML APIs can be implemented seamlessly in both android & IOS apps like it’s any other feature such as analytics, crashlytics etc.
The flexibility provided by ML Kit for mobile developers to use On-device or On-Cloud ML Apis as per the use case is quite significant . In this session we will take deep dive in the different ready to use APIs of ML Kit encapsulating the features of Mobile Vision, Google Cloud Vision API, TensorFlow Lite and Neural Network API.
Many businesses today should understand the importance of using AI to improve the business processes and delight customers.
We will show how you can use AI & ML technologies to get insights from processed data
PDCConf2021 - Serverless WhatsApp Chatbot with Azure AI.pptxLuis Beltran
This document discusses building a serverless image recognition chatbot for WhatsApp using Azure services. It begins with an overview of chatbots and their advantages. It then discusses using LUIS for natural language processing, Computer Vision API for image analysis, and Twilio API to integrate with WhatsApp. Live demos are provided of these Azure services, including using Azure Functions for serverless image processing. The document concludes with a final integrated demo of the chatbot and a call to action.
Multi-platform Compatibility of HTML5 by developing simple HTML5 based game(M...Himanshu Sharan
Exploited the multi-platform compatibility of HTML5 by developing a simple HTML5 based game using Phaser game development framework and Intel XDK multi-platform HTML5 application development IDE.
by Amit Narayanan, Solutions Architect, AWS
Amazon Lex is a service for building conversational interfaces into any application using voice and text, and Amazon Polly is a service that turns text into lifelike speech. This session combines both of these AWS services, the presenter will demonstrate how to build DevOps and Help Desk chatbots that feature spoken-voice interfaces, and explore the potential of bringing characters to life through interactive chatbots that improves customer engagement. Attendees will be provided with the foundational skills for those looking to enrich their applications with natural, conversational interfaces. Level 300
Moving Conversational bots off Your Product Roadmap And Into Your Workstreams...Grid Dynamics
88% of AI projects end up not making it into production. Discover how Google Dialogflow, built by Google Cloud AI, can help you inject Conversational AI into your workstreams to delight your customers and clients. Working with Google solutions can help address real world problems in various industries so AI initiatives do not end up sitting on a shelf.
The ability to keep up with the current digital revolution and ensure business continuity is dependent on the skills of Flutter App Development Services. When it comes to Flutter app development tools, businesses have many options. Additionally more agile than past methods, this one makes it simpler for engineers to write code. Google's backing is likely to directly cause Flutter's popularity to soar. To accomplish this successfully, you will require numerous extra development tools from other sources.
Why Is Flutter A Great Platform Amidst All Cross-Platform Apps?Netizens Technologies
From internal operations to sustaining customer interactions, a company needs to be organized in a variety of ways. For this, we require efficient, interactive software. Many in the sector, not just us, believe that going cross-platform with on-demand Flutter app development could result in good results. Let's learn the importance of Flutter App Development.
This document outlines an introductory Flutter study jam session that will teach developers the fundamentals of the Flutter framework. The session will include an introduction to Flutter basics, completing a first lab to build a Flutter app, and additional self-study assignments. Attendees will learn how to use Flutter to build high-quality mobile apps that run on iOS and Android, with features like hot reload for rapid iteration and a widgets system for customization. The goal is for attendees to build a basic Flutter app with real-world functionality.
Flutter is an open-source mobile app development framework created by Google that allows building Android and iOS apps using one codebase and programming language, Dart. The document discusses Flutter and Firebase, describing Flutter as a framework that offers hot reloading and reusable widgets. Firebase is presented as a real-time database and backend tool that provides a serverless alternative to writing custom backend code, saving development time and costs. Key features of Firebase mentioned are authentication, cost savings over custom backends, and machine learning capabilities.
Flutter is an open-source mobile app development framework created by Google that allows building Android and iOS apps using one codebase and programming language, Dart. The document discusses Flutter and Firebase, describing Flutter as a framework that offers hot reloading and reusable widgets. Firebase is presented as a real-time database and backend tool that provides a serverless alternative to writing custom backend code, saving development time and costs. Key features of Firebase mentioned are authentication, cost savings over custom backends, and machine learning capabilities.
The document summarizes resources being provided as part of the Flutter Festival event series to help developers learn Google technologies like Flutter, Firebase, and Google Cloud. It provides an overview of Flutter and what it allows developers to do. It then lists various workshops, quests, and codelabs that will be available for learning Dart, building Flutter apps, integrating Firebase, and getting familiar with Google Cloud essentials. The document encourages participants to use the learning resources to learn, create apps, and showcase their work in the developer community.
Firebase integration into Flutter refers to the use of Firebase services in Flutter application development. Firebase provides a variety of backend services that can be easily integrated into Flutter apps for managing data, user authentication, cloud messaging, and more. Following are the general steps to integrate Firebase into a Flutter application.
Flutter App Development- Why Should You Choose It .Techugo
Flutter is a portable UI platform that lets you create native-like apps for mobile, desktop and web.
It can be used from a single codebase. It’s based on the Dart programming language and includes Cupertino and Material Design widgets. As a result, flutter developers can create stunning UI that feels and looks native. It works on all platforms regardless of whether you only use one codebase.
Flutter is the only framework to offer a mobile SDK, without the need for a Javascript bridge.
Discovering Flutter Features, Comparisons, and Frameworks.docxShilsha Technologies
Explore Flutter's features, comparisons, and frameworks. Delve into a comprehensive guide for understanding the capabilities of this versatile app development toolkit.
Discovering Flutter Features, Comparisons, and Frameworks.pdfShilsha Technologies
Explore Flutter's features, comparisons, and frameworks. Delve into a comprehensive guide for understanding the capabilities of this versatile app development toolkit.
The document discusses Google Developer Student Clubs (GDSCs), which are student-run clubs officially supported by Google that provide opportunities for students to learn and apply technologies like app development, machine learning, and cloud computing. GDSCs offer workshops, projects, hackathons and other activities and resources to help students enhance their technical skills and prepare for careers in tech. The goal of GDSCs is to give students access to Google resources and a community of other developers while taking their technical careers one step further through networking opportunities.
The document discusses Google Developer Student Clubs (GDSCs), which are student-run clubs officially supported by Google that provide opportunities for students to learn and apply technologies like app development, machine learning, and cloud computing. GDSCs offer workshops, projects, hackathons and other activities and resources to help students enhance their technical skills and prepare for careers in tech. The goal of GDSCs is to give students access to Google resources and a community of other tech-minded students while taking their technical careers one step further through networking opportunities.
Unlocking Success The Ultimate Guide to Hiring a Flutter App DeveloperXonier Technologies
Hiring a skilled Flutter app developer offers numerous benefits, including cross-platform compatibility, fast development cycles, and native performance. By carefully evaluating developers based on their skills, experience, and suitability for your project, businesses can ensure successful outcomes and create innovative and user-friendly applications that resonate with their target audience.
Visit us : https://xoniertechnologies.com/blog/hiring-a-flutter-app-developer/
Connect Infosoft is a leading Flutter app development company that specializes in building high-quality, feature-rich, and user-friendly mobile apps for businesses of all magnitudes. Our skilled and experienced Flutter developers leverage the latest tools and technologies to create apps.
Click here for more Details: https://www.connectinfosoft.com/looking-for-flutter-web-development-service/
Mobile App Development course | Learn and Build | online certification courseLearn and Build
Introduction to Google's Flutter, an open-source user interface software development kit. It is used to create cross-platform applications from a single codebase for Android, iOS, Linux, Mac, Windows, Google Fuchsia, and the web. Explore new fields, Learn by best industry experts and get certification courses from learn and build.
Visit us: https://learnandbuild.in/course/-mobile-app-development-using-flutter
Top Reasons to Choose Flutter App Development Company.pdfTechugo
The digital world is filled with many devices that can be used on multiple operating systems. How can you make a mobile app your business can use to reach broader audiences faster and more efficiently? It is a complex problem that small businesses might be unable to solve.
Why is flutter considered the best cross platform frameworkPixel Crayons
Flutter is considered the best cross-platform framework for startups and SMEs for several reasons:
- It allows for concurrent development on Android and iOS using a single codebase.
- Features like hot reloading enable quick testing and development.
- Pre-built widgets provide smooth user interfaces that look native on each platform.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
2. Agenda
• Intro to Technology stack
• Understanding DialogFlow
• Building Blocks of DialogFlow
• Understanding Firebase
• Hands on Cloud Functions
• Hands on Firestore
• Building an Appointment Booker
• Integration with Google
Assistant
4. What we are going to build
Book My Room
A Voice User Interface for a Hotel which is
capable of giving info about the Hotel and
even capable of booking Rooms.
5.
6. A Graphical Natural Language Processing platform powered
by Google’s Machine Learning for developing super
smart conversational Apps.
https://dialogflow.com
7. - Building Blocks
Intent:
An intent represents a mapping between what a user says and what
action should be taken by your software.
Entities :
Entities are powerful tools used for extracting parameter values
from natural language inputs.
Fulfillment :
A way to get data from an external source or API instead of
Hardcoded Data/responses.
8. Cloud Functions is a hosted, private, and scalable Node.js environment
where you can run JavaScript code. Cloud Functions for Firebase
integrates the Firebase platform by letting you write code that
responds to events and invokes functionality exposed by other
Firebase features or HTTP Calls.
9. Firestore
A flexible, scalable NoSQL cloud database to store and sync
data for client- and server-side development. Firestore is
a flexible, scalable database for mobile, web, and server
development from Firebase and Google Cloud Platform.
10. A Platform to build and publish Conversational Apps for
Google Assistant.
Actions on Google
11.
12. Hi
Greetings, I Can assist you with
Hotel & Room Details and even
Book Rooms for you.
What is your Location?
I am located near PGI
Hospital
in Chandigarh. You can
locate me via this link:
https://goo.gl/maps/baEoY
PaW6kx
How much the room
costs?
For one night Standard room
cost
:Rs 1000, V.I.P Costs: Rs 1500
and Luxury Costs: 2000.
I want to book a room?
Complete Conversation At
https://goo.gl/VhhBK8
Download Sample Code
https://goo.gl/BXnuoN