Skip to content
Cloud2Data

Cloud2Data

Latest Cloud, Data, DevOps Technologies

  • CloudThe concept of cloud started in the early 2000s piggybacking on the Internet boom. The actual popularity stated in 2010 onwards when large scale deployments of networked servers started moving into the consumer space. Cloud computing has now become on the most exciting technologies being rapidly adopted by large enterprises across the world. Could computing traces its origins from distributed computing and distributed storage. Virtualisation technologies have provided a hug boots to cloud computing making it truly affordable at a consumer grade. Today’s server technologies are getting increasingly implemented on the cloud with physical Data Centers migrating several services to cloud based providers. Bare metal servers are increasingly being used as a collection of Virtual machines. Over the last decade Cloud services has seen amazing growth. This has been enabled by the availability of high speed broadband internet and intranet and a combination of these services has given rise to Software as services and Micro-services within large consumer facing applications. Cloud services have also seen steady evolution to address high availability, high performance and data and identity security. Cloud services had its initial hiccups for adoption both by consumers and enterprise customers. It is fascinating to see how cloud services…
  • DevOpsDevOps has become a hot topic over the last decade as computing has increasingly become distributed and cloud based. The traditional model of slow stages from coding to testing to build and deploy has been found to be in adequate to serve the need of rapid development across sites and across time zones. With the Agile process production level code will have to be built and deployed on multiple servers and VMs across data centres and cloud zones. The configuration management of software application code and other resources, build management and runtime environment during deployment are getting highly complex and therefore require a seamless pipeline. This pipeline needs to be automated to reduce human error and also to deploy new applications and update old ones on maybe thousands of servers and VM instances in a large cloud service. This is where the confluence of Software Development (Dev) and IP Operations (Ops) happen and this crucial function has been named DevOps. Unlike yesteryears when an application used to run on a single , sometimes proprietary tech stack, modern applications on server side and cloud services leverage multiple tech stances , libraries and runtime environments. Runtime environment creation is therefore itself automated…
  • Data Storage
  • Machine LearningMachine learning Machine Learning is a term that has been used in Mathematics, Statistics and Computer science for quite a few decades. It traces itself back almost for a century in Mathematics. The primary objective of Machine Learning is to make an inference about an even based on certain input values. Students of statistics could immediately relate  to probabilistic determination of outcomes of events based on certain input parameters while students of Mathematics could identify this with linear algebra and matrix transformations.
  • Artificial Intelligence
  • Server Tech
  • Web ClientWhenever we are using any software application today, we would be using a client server technology in 90% o fetch cases. Your re using a client on your browser as you read this article and a server at the back end that is serving this web page. The browser client on your mobile or PC or Mac is fetching the right content page form etc server based o the URL on the address bar of your browser. This is a wonderful way to understand how a web client works – your browser itself. Traditionally web client used to serve pages that are programmed with Hyper texts which essentially means that unlike a normal text file where all written characters are displayed on the page, pages that are marked with Hyper texts (also called HTML) when displayed on a web browser will not display all text characters contained in the page. An HTML page consists of two kinds of texts : normal texts and hyper texts are essentially marked with some escape characters like “” which signify that the texts contained within such escape characters will bemused as a code to instruct your browser client what, where and how…
  • Mobile DevDevelopment of applications on mobile had started since the advent and adoption of smartphones. It has seen phenomenal growth as applications both on consumers and enterprise sectors have increased. While early mobile applications were stand alone on device – todays mobile phones work as connected device to the internet and therefore most mobile applications leverage cloud services and other server based technologies to access and update data. Mobile applications now cover everything from payment systems to food ordering to health , lifestyle and fitness. Mobile applications alas provide a great way to monetise your application ideas and also content. While the hardware of mobile phones are manufactured by a large number of companies, the OS of mobile phones are clearly divided into only two flavours : the iOS and Android. Both Apple and Google have their own Application repository the App Store and GooglePlay. It has therefore become imperative for Mobile application developers to develop their applications on both these OS platforms and publishing in respective applications repos. iOS applications have ben traditionally been developed using Objective C which many have found cumbersome and a difficult learning curve. Apple thereafter came up with Swift that offers an mazing developer IDE…
  • Home
  • Artificial Intelligence
  • How to make artificial intelligence like Jarvis?
  • Artificial Intelligence

How to make artificial intelligence like Jarvis?

Philips JordanFebruary 20, 2023May 23, 2024015 mins
Artificial intelligence. Information concept. 3D render

Artificial intelligence, or AI, is one of history’s most hyped and rapidly-growing technologies. It has the potential to change almost everything, from how we shop to how we work. But AI isn’t a new invention. It’s been around for centuries in the form of programs like Jarvis, which was first developed in the late 1800s. This blog post will show you how to make your own Jarvis-style AI program in just a few easy steps. You don’t even need any coding experience!

Table of Contents

  • What is Artificial Intelligence?
  • Steps to Creating Artificial Intelligence Like Jarvis
    • Pick an AI platform
    • 2. Create an AI service account
    • 3. Install the Azure AD module
    • 4. Get started with building your AI
    • 5. Access your AI services
  • Conclusion
  • FAQs
    • 1. What are the key features of an AI system like JARVIS?
    • 2. What technologies are required to build an AI like JARVIS?
    • 3. What programming languages and tools should I use to develop an AI like JARVIS?
    • 4. How can I ensure the AI system understands and responds to natural language commands effectively?
    • 5. What steps can I take to integrate an AI like JARVIS with smart home devices and other systems?

What is Artificial Intelligence?

Artificial intelligence (AI) is a branch of computer science that deals with creating intelligent machines. AI research can be divided into two main areas: natural language processing and machine learning. Natural language processing involves the ability to analyse and interpret human speech. Machine learning involves the use of algorithms to improve the performance of a given machine or system without being explicitly taught how to do so.

Steps to Creating Artificial Intelligence Like Jarvis

  1. Pick an AI platform

There are several AI platforms, but choosing one will largely depend on your project’s needs. For this tutorial, we’ll use Microsoft Cognitive Services’ Azure Active Directory (AD) module for artificial intelligence (AI).

2. Create an AI service account

Before you can build your AI, you’ll need to create an AI service account. This account will allow you to access all of the necessary resources and features of the Azure AD module. To create your service account, go to the Azure Portal and sign in using your corporate credentials. In the left-hand navigation panel, find your subscription type (Azure Active Directory), select it, and then under “Service Accounts”, click on the “Create Service Account” button. On the next page, provide a name for your new service account, select a location for storing its password(s), and then click on the “Create Service Account” button. You’ll now be brought to the “Configure Your Service Account” page, where you’ll need to specify some basic information about your organization. To get started with building your AI, it’s important that you have access to all of the related services and APIs offered by Azure AD. As part of our tutorial series, we’ll provide more detailed instructions on setting up these services later in this article…

3. Install the Azure AD module

Now that we’ve created our service account, it’s time to install the Azure AD module. To do this, open the Microsoft Azure portal and sign in using your corporate credentials. In the left-hand navigation panel, find your subscription type (Azure Active Directory), select it, and then under “Service Accounts” click on the “Install Service Account” button. On the next page, find and select the Azure AD module from the list of available services. Click on the “Install” button to begin installing the module. After installation is complete, you’ll be brought to the “Configure Your Service Account” page, where you’ll need to provide some basic information about your organization. To get started with building your AI, you must have access to all of the related services and APIs offered by Azure AD. As part of our tutorial series, we’ll provide more detailed instructions on setting up these services later in this article…

4. Get started with building your AI

Now that we’ve installed the Azure AD module and created our service account, it’s time to build our AI. To do this, open a new Microsoft Visual Studio project and select “Azure Active Directory (AD)”. On the next page, provide a name for your new project, select a location for storing its files, and then click on the “Create Project” button. You’ll now be brought to the “Configure Your Project” page, where you’ll need to specify some basic information about your project. To start building your AI, you must have access to all of the related services and APIs offered by Azure AD. As part of our tutorial series, we’ll provide more detailed instructions on setting up these services later in this article…

5. Access your AI services

Once your project has been created, it’s time to access Azure AD’s various AI services. To do this, open a new Windows Explorer window and sign in using your corporate credentials. In the left-hand navigation panel, find your subscription type (Azure Active Directory), select it, and then under “Service Accounts”, click on the “Open Service Account” button. On the next page, find and select the AI service account you created in step 2 of this tutorial. Under “Access Rights”, click on the “All Users” checkbox to grant access to all users in your organization, or click on specific users to grant them specific rights. You may also consider setting up moderation and security roles for your AI service account so only authorized users can access it. Once granted access to the AI service account, you’ll be brought to the “Configure Your Service Account” page, where you’ll need to provide some basic information about your project. To start building your AI, you must have access to all the related services and APIs offered by Azure AD. As part of our tutorial series, we’ll provide more detailed instructions on setting up these services later in this article.

Conclusion

In this article, we discussed how to make artificial intelligence like Jarvis. By following the steps outlined, you can create a computer system capable of intelligent speech recognition and natural language processing. This technology has the potential to revolutionize many areas of our lives, including communication and customer service. If you are interested in learning more about how to build Jarvis-like systems, be sure to read on!

FAQs

1. What are the key features of an AI system like JARVIS?

Answer: An AI system like JARVIS would include features such as natural language processing (NLP) for understanding and responding to human speech, advanced data processing and analysis capabilities, real-time decision-making, integration with various smart devices and systems, a sophisticated user interface, and learning algorithms that allow it to adapt and improve over time.

2. What technologies are required to build an AI like JARVIS?

Answer: Building an AI like JARVIS would require several advanced technologies, including:

  • Natural Language Processing (NLP): For understanding and generating human language.
  • Machine Learning and Deep Learning: For learning from data and improving over time.
  • Speech Recognition and Synthesis: For voice input and output capabilities.
  • Computer Vision: For interpreting and processing visual information.
  • Robotics: For interacting with the physical world (if applicable).
  • Cloud Computing: For handling large-scale data processing and storage.
  • Internet of Things (IoT): For integrating with and controlling smart devices.

3. What programming languages and tools should I use to develop an AI like JARVIS?

Answer: You should use a combination of programming languages and tools, including:

  • Python: For its extensive AI and machine learning libraries (e.g., TensorFlow, PyTorch, NLTK).
  • JavaScript: For web-based interfaces and real-time interaction (e.g., Node.js, TensorFlow.js).
  • C++/C#: For performance-critical components and integration with hardware.
  • Cloud Platforms: Such as AWS, Google Cloud, or Microsoft Azure for scalable computing and storage.
  • Voice Recognition APIs: Like Google Speech-to-Text, IBM Watson, or Amazon Alexa Skills Kit.
  • NLP Libraries: Such as spaCy, GPT-3, or BERT for natural language understanding.

4. How can I ensure the AI system understands and responds to natural language commands effectively?

Answer: To ensure the AI system understands and responds to natural language commands effectively, you can:

  • Use Advanced NLP Models: Implement models like GPT-3, BERT, or spaCy for accurate language understanding.
  • Train with Diverse Datasets: Use large and varied datasets to train the NLP models to handle different accents, languages, and colloquialisms.
  • Continuous Learning: Enable the system to learn from interactions and improve its understanding over time.
  • User Feedback: Incorporate user feedback mechanisms to correct and refine the AI’s responses.
  • Context Awareness: Develop algorithms that allow the AI to maintain context in conversations, enabling more natural and relevant interactions.

5. What steps can I take to integrate an AI like JARVIS with smart home devices and other systems?

Answer: To integrate an AI like JARVIS with smart home devices and other systems, follow these steps:

  • Use Standard Protocols: Implement communication protocols like MQTT, Zigbee, or Z-Wave for interoperability with various smart devices.
  • APIs and SDKs: Utilize APIs and SDKs provided by smart device manufacturers for seamless integration.
  • Develop a Central Hub: Create a central control hub that manages and coordinates the interaction between the AI and smart devices.
  • Security Measures: Ensure secure communication and data handling to protect user privacy and prevent unauthorized access.
  • User Interface: Design a user-friendly interface that allows easy control and monitoring of connected devices through the AI system.

By combining these technologies and approaches, you can develop an AI system with capabilities similar to JARVIS, providing a highly interactive and intelligent user experience.

 

 

Tagged: AI service account APIs artificial intelligence Azure Active Directory Azure AD

Post navigation

Previous: How many proposition symbols are there in artificial intelligence?
Next: How to make artificial intelligence?

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Related Articles

ov_chart

Intel AI openVino toolkit

Aaron MorrisonJune 5, 2024June 4, 2024 0
data-center-google-cloud-gpu-407-ud@2x

NVIDIA GPU FOR THE GOOGLE CLOUD PLATFORM

Aaron MorrisonMay 15, 2024June 4, 2024 0
deep-learning-evolution

Nvidia GPU family for Deep Learning

Aaron MorrisonMay 15, 2024June 4, 2024 0
end-to-end-ai-acceleration-graphic

INTEL AI-BASED DEVELOPMENT

Aaron MorrisonMay 15, 2024June 4, 2024 0

Categories

  • Amazon AWS
  • Android
  • Artificial Intelligence
  • Classification
  • Cloud
  • Data Analytics
  • Data Storage
  • Dell
  • DevOps
  • Distributed Data
  • Google Cloud
  • Intel
  • Introduction
  • iOS development
  • Languages
  • Machine Learning
  • Microsoft Azure
  • Mobile Dev
  • NAS
  • Netapp Storage
  • Neural Network
  • Nvidia
  • Programming
  • Regression
  • Server Tech
  • Web Client

Copyright Clod2Data 2025. All rights reserved.
  • Suggest or improve an article
  • Write for us
  • Terms and Conditions
  • Privacy Policy
  • About Us
  • Contact Us