Top 6 Artificial Intelligence ToolsGo Back
- Posted by Nicola
We have probably mentioned this a hundred time in our previous articles, but we’ll repeat it again – Artificial Intelligence is going to be a big thing in near future. And if you are as excited about this as we are and you want to learn more, this article is for you.
We at EuroSTAR wanted to list the tops AI tools out there. Getting to know different AI frameworks and APIs will enable developers with different skill levels to learn new skills as the demand for knowledge in ’emerging’ tech such as artificial intelligence and machine learning keeps growing.
IBM is a big player in the field of Artificial Intelligence, with its Watson platform designed for both developers and business users is a big hit. This platform is available as a set of open APIs and all Watson users will have access to a variety of starter kits, sample codes and can build cognitive search engines and virtual agents.
Watson also has a chatbot building platform aimed at beginners, which requires little machine learning skills. The AI platform will even provide pre-trained content for chatbots to make training the bot much easier.
Apache PredictionIO is an open source AI server built on top of an open source stack to create predictive engines for any machine learning task. This is perfect for developers. There is a 41-minute YouTube video presented by Spark Summit that helps you understand how it works.
Furthermore, Prediction IO consists of 3 core components:
- PredictionIO platform – its open source machine learning stack for evaluating, building, and deploying engines with machine learning algorithms
- Template Gallery – a place for you to download engine templates for different type of machine learning applications
- Event Server – an open source machine learning analytics layer for unifying events from multiple platforms
Caffee is a deep learning framework. It is an open source, under a BSD license which is very popular among researchers because of its speed expression and modularity in mind. Caffee was developed by a Ph.D. student of the US Berkeley Vision and Learning Centre (BVLC). It is able to process over 50 million images, all 1 single day. Quite Impressive, huh? This deep learning framework is mostly used for research projects, speech and even vision.
As written on their website, TensorFlow is an open source machine learning framework for everyone. It is one of the best recommended artificial intelligence tools. TensorFlow’s flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs). It can even run on the mobile devices. This AI platform also provides a library using data flow graphs for computation. The site offers tutorials and resources which help the junior developers with little experience.
Torch is a is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is an open source machine learning library and a script language based on the Lua programming language. It provides an array of algorithms for deep machine learning. Torch is used by the Facebook AI Research Group and was previously used by DeepMind, before it was acquired by Google and moved to TensorFlow.
Although enterprise-focused, Protege has a suite of open source tools ideal for developers to create ‘knowledge-based applications with ontologies. Protege is an AI platform aimed at both experts and beginners and lets developers create, upload, modify and share applications. Protege also houses an active community, making troubleshooting simple and collaboration optimised.