Introduction
The future of artificial intelligence is bright and it’s going to be powered by a lot of new techniques and tools. Some of these tools have already been developed and others are still in development, but here are some of the most interesting ones that we think will play a significant role in the next few years:
Google AI Platform (GAP)
Google AI Platform is a set of tools and services that makes it easy to build, train, and deploy AI systems. GAP’s goal is to democratize access to the latest research in machine learning so that everyone can use it for their own projects and make sure that the technologies we build are safe for everyone.
GAP offers everything you need from a toolkit: from pre-trained models and datasets through production workloads like machine learning inference engines or image recognition software; from training environments like TensorFlow Lite or PyTorch; all the way down through tools like Apache Spark MLlib or Apache Flink Job Scheduler which help developers implement complex computations such as reinforcement learning on large datasets in real time while keeping costs low at scale.
Microsoft TensorFlow Studio
TensorFlow Studio is a free, open source tool that helps you build and train deep neural networks with TensorFlow. It’s built on top of the TensorFlow CLI and supports both Python and C++.
TensorFlow Studio lets you create visualizations of your model to see how it works in real life, as well as save models for later use. This can be especially useful if you want to share your code with other people who aren’t familiar with machine learning or artificial intelligence (AI).
Amazon SageMaker AI Services for AWS
Amazon SageMaker is a cloud-based service that allows you to train machine learning models on your data. AWS Management Services help the developers with cloud services.
The service offers several different types of services, including:
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Amazon SageMaker SQL a version of the popular open-source Apache Spark SQL)
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Amazon SageMaker Machine Learning (an extension of the Amazon Machine Learning service
OpenCog Project
OpenCog is a cognitive architecture that aims to build a general-purpose artificial intelligence. The project was founded by Elon Musk and is being developed by researchers at OpenAI, which is his company and research lab.
OpenCog has been open source since 2018, allowing anyone to contribute to its development.
IBM Watson Discovery Advisor
IBM Watson Discovery Advisor is a tool that helps you find the best technologies for your business. It’s easy to use, with its friendly personality and conversational tone. You can use it as part of an on-demand service or self-service model by accessing data from multiple sources such as GitHub repositories, TechCrunch reports, Stack Overflow questions and answers, LinkedIn profiles and more. This will also help you with the website design with backend support.
The future of AI will be powered by a lot of new techniques and tools.
The future of AI is going to be powered by a lot of new techniques and tools.
AI is already being used in many different industries, and it’s only going to become more important as we move forward.
Conclusion
We’ve seen a lot of great tools being developed, but there will be plenty more on the horizon. The other tools listed here are not exclusive to just one company or product line—they’re available to anyone who wants them. And while they may not be as easy to use as others in this list, their potential is certainly worth exploring.