5 Best Artificial Intelligence Software in 2022


AI has become a hot topic these days, especially after Elon Musk announced his plans to build a brain-computer interface (BCI). What exactly is artificial intelligence? How does it work? And why should we care?

AI is basically software that mimics human thinking processes. The term was coined in 1956 by John McCarthy at Dartmouth College. He defined it as “the science and engineering of making intelligent machines.”

AI is already being used in our daily lives. From self-driving cars to smart assistants, AI is becoming ubiquitous. As AI becomes more advanced, its applications will continue to expand. Here are some examples of how AI is changing our lives today.

In 2020, artificial intelligence (AI) technology is poised to transform every industry. From healthcare to retail, manufacturing to finance, and transportation to education, AI promises to improve efficiency while reducing costs. And it’s already making waves across industries. But what are the best AI software platforms? Here we list some of the most popular AI tools and technologies used today.

#1 Azure Machine Learning Studio

Microsoft’s Azure Machine Learning Studio offers a complete set of tools for building machine learning models. With support for Python, R, Java,.NET, Scala, Julia, and others, you can build predictive analytics solutions quickly and easily. You can use prebuilt algorithms such as logistic regression, decision trees, random forests, neural networks, and many others. Or you can write custom code to solve specific problems.

#2 TensorFlow

TensorFlow is one of the world’s leading open source deep learning frameworks. Developed by Google, TensorFlow provides a high-level programming interface for training and deploying deep learning models. It supports both CPU and GPU computing.

#3 H2O.ai

H2O.ai is a cloud-based data science platform that makes it easy to apply big data techniques to real-world problems. Its intuitive UI allows anyone to explore data, train models, visualize results, and deploy predictions into production. H2O.ai is built on Apache Spark, a fast distributed processing framework that runs on Hadoop, Amazon Web Services, Microsoft Windows Server, and Linux.

#4 Jasper AI

The Jasper AI is a machine learning tool that helps you find relevant information online. With it, you can quickly scan over web pages and identify what people are talking about in real-time. You can even use it to help you research topics related to your interests.

It also works as a conversational chatbot that helps you find information about anything. It uses natural language processing technology to understand what people are saying and respond appropriately. You can ask questions like “What is the capital of New York?” or “How many states are there in America?”. Jasper understands context and can provide relevant information based on where you are asking the question. For example, if you asked “Where did Donald Trump live?”, Jasper could tell you he lived in Queens. If you asked “Who won the World Series?”, Jasper could tell you it was the Yankees.

#5 Watson by IBM

The software is designed to answer questions posed in natural language form, such as “What are the most common causes of cancer?” or “How many people live in New York City?”

Watson won Jeopardy!, defeating Ken Jennings’ record 74-game streak. In 2011, it beat two professional players in a chess match.

Watson is IBM’s artificial intelligence software that powers everything from customer support to medical diagnosis. In 2016, it beat human contestants on Jeopardy!. Now, IBM says it wants to use Watson to help people make better decisions about their finances.

The company announced that it is launching a new product called Watson Portfolio Advisor. This tool helps consumers manage their investments by providing personalized advice based on what you know about yourself and your financial situation. It uses data from sources like credit reports, tax returns, investment statements, and bank accounts to give you insights into how much money you have saved, where you are spending your money, and whether you might want to save more.

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