41 Cool Artificial Intelligence (AI) Websites 2020

Cool Artificial Intelligence (AI) Based Websites
Hi, in this article we have shared the list breathtaking AI (Artificial Intelligence) websites. These AI websites use Artificial Intelegne to do some cool things that can make surprise you.

Some of the best examples of Artificial intelligence use on the web are Google, Youtube, and Amazon, which uses Artificial Intelligence to show you the best content and things to buy.

In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.

1. Sound Hound

Sound Hound is an AI-powered fastest and smartest voice assistant. Hound gives you fast and accurate results.

Get the weather, make a call, or send a text. Find a hotel that matches your preferences, navigate to the address, or call an Uber.

You can even check flight statuses, look up stocks or play music and games, all with just your voice. No button presses needed!

Without a doubt the smartest and fastest voice-based assistant I've ever seen. Like a human and unlike most voice assistants - Hound can remember that you're having a conversation with it.

The developer of sound hound believes in enabling humans to interact with the things around them in the same way we interact with each other: by speaking naturally to mobile phones, cars, TVs, music speakers, coffee machines, and every other part of the emerging 'connected' world.

Their latest product, Hound, leverages its Speech-to-MeaningTM technology to showcase a ground-breaking smartphone experience.

Their SoundHound product applies its technology to music, enabling people to discover, explore, and share the music around them, and even find the name of that song stuck in their heads by singing or humming.

And through the Houndify platform, They empower developers to be part of the speech-to-meaning revolution.

2. Teachable Machine

You can use this AI-based website by Google to train a computer to recognize your own images, sounds, & poses.

A fast, easy way to create machine learning models for your sites, apps, and more no expertise or coding required.

Teachable Machine is a web-based tool that makes creating machine learning models fast, easy, and accessible to everyone.

Gather and group your examples into classes, or categories, that you want the computer to learn.

Train your model, then instantly test it out to see whether it can correctly classify new examples.

Export your model for your projects: sites, apps, and more. You can download your model or host it online for free.

Teachable Machine is flexible, use files or capture examples live. It’s respectful of the way you work. You can even choose to use it entirely on-device, without any webcam or microphone data leaving your computer.

3. Youper AI 

Created by a team of doctors, scientists, and engineers led by Dr. Jose Hamilton, Youper utilizes AI to personalize various techniques to fit your needs.

Youper is an Emotional Health Assistant. It’s the first of its kind. It applies Artificial Intelligence to monitor and improve your emotional health.

It helps you feel your best with quick conversations based on various psychological techniques personalized to your needs and style.

It’s designed to be a self-care, self-help tool to empower you to take control of your emotional health and have better conversations with your doctor or health provider. It does not provide diagnosis, medical, or professional care.

It’s already helping thousands of people around the world to become the best version of themselves. Download the app on the Apple App Store and on Google Play Store.

You use Artificial Intelligence (AI) to learn from you and evolve by incorporating the latest scientific research about the brain to improve your emotional health.

It doesn’t have human operators, although its team of experts led by psychiatrist Dr. Jose Hamilton, is always working to make Youper the best assistant for you.

4. Quick Draw

Quick Draw is a game built with machine learning. You draw, and a neural network tries to guess what you’re drawing. Of course, it doesn’t always work.

But the more you play with it, the more it will learn. So far we have trained it on a few hundred concepts, and we hope to add more over time.

They made this as an example of how you can use machine learning in fun ways. Watch the video below to learn about how it works, and check out more A.I. Experiments here.

Built by Jonas Jongejan, Henry Rowley, Takashi Kawashima, Jongmin Kim, Nick Fox-Gieg, with friends at Google Creative Lab and Data Arts Team.

If you like this website then you can read the article on the best things that you can do online for free.

5. Lionbridge AI

AI training data is the information used to train a machine learning model. In the data science community, AI training data is also referred to as the training set, training dataset, learning set, and ground truth data.

AI training datasets include both the input data and the corresponding expected output. Machine learning models use the training dataset to learn how to recognize patterns and apply technologies such as neural networks so that the models can make accurate predictions when later presented with new data in real-world applications.

It’s crucial to use clean, high-quality data to train your machine learning models. If your training dataset includes errors or irrelevant data, then that will negatively impact the performance of your model.

Lionbridge provides high-quality, custom AI training data in 300 languages, for a wide range of machine learning applications including chatbots, sentiment analysis, and text categorization.

It leverages its Smart Crowd of 500,000 certified contributors to quickly provide you with high-volume custom datasets, without sacrificing on the quality.

6. Runwayml

They are on the verge of a new creative revolution. Recent advances in machine learning and artificial intelligence research are producing radical changes in the way digital content is made, understood, and processed, unfastening previously unimagined ways of creating.

Yet a few challenges lay ahead of this transformation.

First and foremost, enabling more people to join the discussion and understand the underlying technology.

They are fostering a unique community where machine learning stops being an exclusive technology and becomes a comprehensive instrument for creators. RunwayML was built with a simple idea in mind: let's put machine learning in the hands of creators.

7. Talk To Books by Google 

You can use this website powered by Artificial Intelligence to took to the book. You have to just type the sentences and then press enter after the Google bot will search the best reply for your input from the book in its database.

These sentences might not be the perfect answers as this is just an experiment but sometimes it can surprise you.

You should try this tool. You should also read this article on the best websites you can use to download ebooks for free and the website you can use to listen to audiobooks.

Mastering Talk to Books may take some experimentation. Although it has a search box, its objectives and underlying technology are fundamentally different than those of more traditional search experience.

It's simply a demonstration of research that enables an AI to find statements that look like probable responses to your input rather than a finely polished tool that would take into account the wide range of standard quality signals. You may need to play around with it to get the most out of it.

8. A.I. Duet By Google

Built by Yotam Mann with friends on the Magenta and Creative Lab teams at Google. It uses TensorFlow, Tone.js, and tools from the Magenta project.

The open-source code is available here. To play, just click the keyboard, use your computer keys, or even plug in a MIDI keyboard.

9. Pixsrv

The pix2pix model works by training on pairs of images such as building facade labels to building facades and then attempts to generate the corresponding output image from any input image you give it. The idea is straight from the pix2pix paper, which is a good read.

The models were trained and exported with the pix2pix.py script from pix2pix-TensorFlow. The interactive demo is made in javascript using the Canvas API and runs the model using the Datasets section on GitHub.

All the ones released alongside the original pix2pix implementation should be available. The models used for the javascript implementation are available at pix2pix-TensorFlow-models.

10. The Infinite Drum Machine

Built by Kyle McDonald, Manny Tan, Yotam Mann, and friends at Google Creative Lab. Thanks, The Philharmonia Orchestra, London for contributing some sounds to this project.

The open-source code is available for this program and anyone can use to make changes in the source code to customize as per the requirements.

11. Thing Translator

Take a picture of something to hear how to say it in a different language. This experiment lets you take a picture of something to hear how to say it in a different language.

It’s just one example of what you can make using Google’s machine learning APIs, without needing to dive into the details of machine learning.

Built by Dan Motzenbecker with friends at Google Creative Lab, using Google’s Cloud Vision API and Translate API.

12. Socratic

The app provides great exposure to different types of learning materials for students to learn from, as well as teaches students to use multiple sources to draw conclusions for questions or scenarios.

I think most students who use technology for homework help are actually trying to learn and this app helps simplify the sea of information that comes with an internet search.

Powered by Google AI, Using text and speech recognition, the app surfaces the most relevant learning resources for you.

13. NSynth: Sound Maker

Make unusual new sounds with machine learning. This experiment lets you play with new sounds created with machine learning.

It’s built using Nsynth, a research project that trained a neural network on over 300,000 instrument sounds. NSynth can combine sounds, like bass and flute, into a new, hybrid bass-flute sound.

This experiment lets anyone explore these sounds and make music with them. Built by the Magenta and Creative Lab teams at Google. NSynth is built using Tensorflow, Tone.js, and a Wavenet-style autoencoder.

14. Semantris

Semantris is a word association game that uses this same technology. Each time you enter a clue, the AI looks at all the words in play and chooses the ones it thinks are most related.

Because the AI was trained on conversational text spanning a large variety of topics, it can make many types of associations.

In Semantris' Arcade, when the AI sorts the list, the most related words are moved to the bottom. In the example above, you can see that it thinks that the word "Moon" is a better conversational response to "Sun" than "Teacher".

Semantris is similar to other word association games where a person gives clues to help their teammate guess the correct words.

However, in Semantris, you give your hints to an AI. Because the AI can sometimes have quirky responses, you'll need to experiment with different types of clues to learn how this AI thinks and to earn the highest scores.

Try playing with slang, technical terms, pop culture references, synonyms, antonyms, and even full sentences.

15. Giorgio Cam

Take a picture to make music on the computer. This is an experiment built with machine learning that lets you make music with the computer just by taking a picture.

It uses image recognition to label what it sees, then it turns those labels into lyrics of a song. Built by Eric Rosenbaum, Yotam Mann, and friends at Google Creative Lab using MaryTTS, Tone.js, and Google Cloud Vision API.

16. Auto Draw By Google

AutoDraw is a new kind of drawing tool that pairs the magic of machine learning with drawings from talented artists to help everyone create anything visual, fast.

17. Cyborg

Feeling writer's block? Hit Tab and an artificial neural network running in your browser will finish your sentence as if it were written by Shakespeare, the US Supreme Court, Tupac Shakur.

TensorFire is a framework for running neural networks in the browser, accelerated by WebGL.

Applications powered by TensorFire can utilize deep learning in almost any modern web browser with no setup or installation.

TensorFire models run up to 100x faster than previous in-browser neural network libraries, at speeds comparable to highly-optimized native CPU code.

18. Siri By Apple

Siri can make calls or send texts for you whether you are driving, have your hands full, or are simply on the go.

It can even announce your messages on your AirPods Siri also offers proactive suggestions so you can stay in touch effortlessly.

Set alarms, timers, and reminders. Preview your calendar. Siri can do it all without ever having to pick up a device.

Based on your routine, Siri can even anticipate what you might need to help you breeze through your day.

And with Siri Shortcuts, you have an even faster way to access apps. Apple Music and Siri work together beautifully. Which means you can ask Siri to find a new song you’ll like. Put on a favorite album.

Or even answer questions about the bands you love. Siri can also suggest your favorite playlist when you arrive at the gym or start your drive home. Just tap to play. You can read the article on the Siri tips and tricks on this website.

19. Elsaspeak

Speak English in short fun dialogues. Get instant feedback from proprietary artificial intelligence technology.

Learn to speak English clearly, fluently, and confidently like your own mother tongue. State-of-the-art speech recognition technology ranked among Top 5 Best Artificial Intelligence Apps.

Enabling 1.5 billion global English learners to increase language fluency. Give your employees or your students the fluency to succeed. ELSA is now available for your businesses and schools.

Your employees or students can learn anytime, anywhere. Track their learning progress in real-time from your organization’s dashboard.

20. Clever Bot

Cleverbot is a chatterbot web application that uses an artificial intelligence algorithm to have conversations with humans.

It was created by British AI scientist Rollo Carpenter. It was preceded by Jabberwacky, a chatbot project that began in 1986 and went online in 1997.

21. Lets Enhance

Let’s Enhance uses cutting-edge Image Super-Resolution technology based on Deep Convolutional Neural Networks.

Before the appearance of this technology, it was impossible to dramatically increase photo or image size without losing quality.

Your best option in Photoshop, called Bicubic Interpolation - made your image unsharp and blurry.

Those of you on the math side of the things could argue however you increase image resolution there is no new information about the image - you just can’t add extra quality! This is not true in a case when Neural Network and AI are used.

Let's Enhance neural network is trained on a huge dataset of images, so it learns typical features of physical objects bricks of walls, hair, and skin. After the network recognizes those features on the images uploaded and adds extra details, based on its general knowledge of the world.

For free users, they set the limit to 15 Megapixels and 15 Megabytes for every photo uploaded. Image processing and enhancement using neural networks are extremely resourced hungry process.

Enhance removes those limits for Lets Enhance paid users no limits in file size and 30 Megapixels limit in image size.

22. DeepMind

Artificial intelligence could be one of humanity’s most useful inventions. DeepMind research and build safe AI systems that learn how to solve problems and advance scientific discovery for all.

We’re a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence.

DeepMind uses there technologies for the widespread public benefit and scientific discovery and collaborates with others on critical challenges, ensuring safety and ethics are the highest priority.

When DeepMind started DeepMind in 2010, there was far less interest in the field of AI than there is today.

DeepMind wanted to try a new interdisciplinary approach to accelerate the field bringing together new ideas and advances in machine learning, neuroscience, engineering, mathematics, simulation, and computing infrastructure - as well as a new way of organizing scientific endeavor.

23. Algorithmia Colour Photos

Bring new life to old photos by automatically colorizing them using the Algorithmia API. It's as easy as pasting in a URL above. We're excited to introduce cloud hosted deep learning models on Algorithmia.

The Colorful Image Colorization microservice is a computer vision algorithm trained on a million images from the Imagenet dataset.

This microservice is an implementation of the Colorful Image Colorization algorithm created by Richard Zhang, Phillip Isola, and Alexei A. Efros. You should read the article on the best free wallpaper websites you can use to download beautiful wallpapers written on this website.

24. OpenAI

OpenAI is a research laboratory based in San Francisco, California. OpenAImission is to ensure that artificial general intelligence benefits all of humanity.

The OpenAI Charter describes the principles that guide us as  OpenAI executes on OpenAImission.

OpenAI’s mission is to ensure that artificial general intelligence (AGI) by which  OpenAI means highly autonomous systems that outperform humans at most economically valuable work benefits all of humanity.

OpenAI will attempt to directly build safe and beneficial AGI, but will also consider OpenAI mission fulfilled if OpenAIwork aids others to achieve this outcome.

25. Partnership on AI (PAI)

The Partnership on AI (PAI) is a multistakeholder organization that brings together academics, researchers, civil society organizations, companies building and utilizing AI technology, and other groups working to better understand AI’s impacts.

The Partnership was established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.

The Partnership was formally established in late 2016, led by a group of AI researchers representing six of the world’s largest technology companies: Apple, Amazon, DeepMind and Google, Facebook, IBM, and Microsoft.

In 2017 the addition of six not-for-profit Board members expanded the Partnership into a multi-stakeholder organization which now represents a community of 50+ member organizations.

26. Google AI

At Google AI, we’re conducting research that advances the state-of-the-art in the field, applying AI to products and to new domains, and developing tools to ensure that everyone can access AI.

Google’s mission is to organize the world’s information and make it universally accessible and useful.

AI is helping us do that in exciting new ways, solving problems for Google AI users, Google AI customers, and the world.

AI is making it easier for people to do things every day, whether it’s searching for photos of loved ones, breaking down language barriers in Google Translate, typing emails on the go, or getting things done with the Google Assistant.

AI also provides new ways of looking at existing problems, from rethinking healthcare to advancing scientific discovery.

You should check out the article on the best Google assistant tricks and the best Google tricks to get more out of the apps like Google Assistant and Google.

27. AI Now

Artificial Intelligence systems are being applied to many areas of human life across major sectors such as education, health care, criminal justice, housing, and employment influencing significant decisions that impact individuals, populations, and national agendas.

But the vast majority of AI systems and related technologies are being put in place with minimal oversight, few accountability mechanisms, and little research into their broader implications.

Currently, there are no agreed-upon methods to measure and assess the social implications of AI, even as these systems are being rapidly integrated into core social institutions.

To ensure that AI systems are sensitive and responsive to the complex social domains in which they are applied, AI Now will need to develop new ways to measure, audit, analyze, and improve them.

The AI Now Institute produces interdisciplinary research on the social implications of artificial intelligence and acts as a hub for the emerging field focused on these issues.

Currently, AI Now research focuses on four key domains: rights and liberties, labor and automation, bias and inclusion, and safety and critical infrastructure.

28. Allen AI (AI2)

AI2 was founded in 2014 with the mission of conducting high-impact AI research and engineering in service of the common good.

AI2 is the creation of Paul Allen, Microsoft co-founder, and is led by Dr. Oren Etzioni, a leading AI researcher.

Headquartered in Seattle on the shores of Lake Union, AI2 employs over 150 of the world’s best scientific and engineering talent in the field of AI, attracting individuals of varied interests and backgrounds from across the globe.

AI2 prides itself on the diversity and collaboration of its team and takes a results-oriented approach to complex challenges in AI.

AI2 has undertaken several ambitious projects to drive fundamental advances in science and medicine through AI. Meet Allen team, Allen AI advisors and collaborators, review Allen AI projects, and see if there is a position at AI2 that matches your skills and interests.

29. Scoop

Once an opportunity, publishing content has become an obligation for professionals and businesses. With the new social media and SEO rules, it’s content that now drives their online visibility, defines their areas of expertise, and helps them generate new business and leads.

But content is hard. Scoop started Scoop.it because Scoop believed software and technology could make content publishing much more time-efficient and impacting for professionals in general and marketers in particular.

Scoop launched as a content curation service back in 2011 and we’re proud to have helped close to 4 million users publish tens of millions of pieces of content to attract hundreds of millions of readers.

Beyond validating Scooptechnology, these numbers gave us a unique understanding of what worked and what didn’t to drive visibility online.

By collecting data points from its users, by listening to the many business owners and marketers among them who came to Scoop meetups, by experimenting a lot ourselves and by cross-checking Scoopfindings with the industry’s top influencers, Scoop developed a unique methodology to achieve content ROI.

30. Tesla

Tesla was founded in 2003 by a group of engineers who wanted to prove that people didn’t need to compromise to drive electricity that electric vehicles can be better, quicker, and more fun to drive than gasoline cars.

 Today, Tesla builds not only all-electric vehicles but also infinitely scalable clean energy generation and storage products. Tesla believes the faster the world stops relying on fossil fuels and moves towards a zero-emission future, the better.

All Tesla vehicles are produced at its factory in Fremont, California, where the vast majority of the vehicle’s components are also made.

To achieve its goal of having the safest factories in the world, Tesla is taking a proactive approach to safety, requiring production employees to participate in a multi-day training program before ever setting foot on the factory floor.

From there, Tesla continues to provide on-the-job training and track performance daily so that improvements can be made quickly. The result is that Tesla’s safety rate continues to improve while Model 3 production ramps.

Tesla develops and deploys autonomy at scale. Tesla believes that an approach based on advanced AI for vision and planning, supported by efficient use of inference hardware is the only way to achieve a general solution to full self-driving.

31. Boxever

Boxever is a market-leading personalization platform that uses data and AI to make every customer interaction smarter.

Boxever is a personalization platform that uses data and AI to help the world’s biggest brands make every customer interaction smarter and deliver game-changing customer experience. Boxever does this in two ways.

Firstly, Boxever builds rich and accurate profiles of their customers using data from across their business. Then Boxever use AI to automate decisions about how to personalize interactions on every channel and in every moment.

32. Netflix

Netflix is a streaming service that allows its members to watch a wide variety of award-winning TV shows, movies, documentaries, and more on thousands of internet-connected devices.

With Netflix, you can enjoy unlimited ad-free viewing of its content. There's always something new to discover, and more TV shows and movies are added every month!

In over 190 countries, Netflix members get instant access to great content. Netflix has an extensive global content library featuring award-winning Netflix originals, feature films, documentaries, TV shows, and more.

Netflix content will vary by region and may change over time. The more you watch, the better Netflix gets at recommending TV shows and movies you’ll love.

You should read the article on the best movie streaming websites for free written on this website to know about the best site to watch free movies and web series online.

33. Pandora

Pandora is a leading music and podcast discovery platform, providing a highly-personalized listening experience to approximately 70 million users each month with its proprietary Music Genome Project and Podcast Genome Project technology - whether at home or on the go - through its mobile app, the web, and integrations with more than 2,000 connected products.

As the largest streaming music provider in the U.S., with an industry-leading digital audio advertising platform, Pandora connects listeners with the audio entertainment they love.

Pandora is a subsidiary of Sirius XM Holdings Inc. Together, Pandora and SiriusXM have created the world's largest audio entertainment company.

34. IBM Watson

Watson helps you predict and shape future outcomes, automate complex processes, and optimize your employees’ time. Automate your AI lifecycle with Watson’s open multi-cloud platform.

It’s driven by the latest innovations in machine learning. Build powerful models from scratch or speed time-to-value with pre-built enterprise apps.

35. Zeta

Zeta Global is a data-powered marketing technology company that combines the industry’s third-largest data set with results-driven AI to unlock consumer intent, personalize experiences and drive customer acquisition, retention, and growth.

The Zeta Marketing Platform provides a real-time view of prospects and customers, leveraging AI to create personalization in every channel at unparalleled depth and scale.

36. Mona

Mona is an artificial intelligence-based mobile shopping assistant that is changing the way people shop. Mona's goal is to create the world's most personal mobile retail shopping experience.

Mona provides an interactive product search experience where she asks for and analyzes customer feedback and provides better recommendations in real-time.

This is Mona's first step towards creating a mobile shopping experience that is similar to an in-store dialogue between a customer and a personal shopping assistant.

Today, Mona simplifies mobile search, discovery, and purchases. In the future, she’ll do returns, re-orders, local search, and more.

Mona is designed and developed in Seattle by former Amazon.com software engineers, product managers, and designers.

Mona is a team of builders who created high impact products used and loved by hundreds of millions around the world.

Check out the articles of the best websites and apps for online shopping you can use.

37. Grammarly

Today Grammarly offers an intuitive, real-time interface that’s there for people wherever they type, through browser extensions, a web-based editor, a Microsoft Office add-in, a desktop interface, and mobile keyboards.

A free version of Grammarly assistant, introduced in 2015, ensures that anyone who needs to communicate in English has access to essential writing support.

For businesses, Grammarly rolled out an enterprise product to support consistent professional communication on workplace teams.

Grammarly growth and further investment in cutting-edge language research have been helped along by more than $200 million in funding, led by General Catalyst.

Using a variety of innovative approaches including advanced machine learning and deep learning Grammarly consistently breaks new ground in natural language processing (NLP) research to deliver unrivaled assistance in Grammarly product offerings.

That’s why Grammarly was recognized by Fast Company as one of the world’s most innovative AI companies.

38. Arya AI

VEGA is designed for researchers and data scientists to build and deploy Deep Learning algorithms at scale.

An end to end platform, 'VEGA' simplifies complex ‘AI’ processes enabling developers and enterprises to focus on core product features.

They build ‘tools’ that can simplify the complex tasks in building ‘AI’ and enable developers to build ‘Strong AI’ systems in a short time possible.

To simplify the process of building ‘Artificial Intelligence’ in a way that can help anyone use it to build Next Generation products for solving the most complex problems!

The true value of technology is when it enables rich human values and simplifies the world around us. Even though ‘AI’ can solve many of today’s complex problems, but the expertise of building reliable ‘AI’ is limited to a few people.

Arya AI believes, everyone should participate in ‘innovation’ as a frequent act but not just limited to a few handful institutions. This can only possible when Arya AI could see true democratization of ‘Intellectual’ knowledge supported with needed resources.

39. TensorFlow

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

If you need more flexibility, eager execution allows for immediate iteration and intuitive debugging. For large ML training tasks, use the Distribution Strategy API for distributed training on different hardware configurations without changing the model definition.

TensorFlow has always provided a direct path to production. Whether it’s on servers, edge devices, or the web, TensorFlow lets you train and deploy your model easily, no matter what language or platform you use.

40. Caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors.

Yangqing Jia created the project during his Ph.D. at UC Berkeley. Caffe is released under the BSD 2-Clause license.

41. Google Nest

For too long, the smart home hasn’t been very smart. It’s complicated to set up and manage, with a lot of different devices that don’t work well together.

So we’re simplifying things and bringing together all Nest and Google Home products under one roof. Introducing Google Nest. Welcome to the helpful home.

Google Nest products work together to help you stay informed, feel more comfortable and safe, keep an eye on the home when you’re away and connect to friends and family and with over 3,500 connected home brands that now work with the Google Assistant, you’ll have endless possibilities for creating a more helpful home.

As Nest and Google Home come together, your privacy is Google Nest's top concern. Google Nest is providing one set of privacy commitments and data protection that apply across all Google’s connected home products and services.

There is a cool website using Artificial intelligence (AI) to do some of the unbelievable things. You can try them all and tell which one your favorite in the comments. If you know any other website that is using the Artificial Intelligence (AI) then you can share with us, we can even add it to our list.


  1. Which Artificial Intelligence (AI) based websites are your favorites and share another websites that we should add to this article in the comments.


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