Unravelling the mysteries of Artificial Intelligence

The landscape of open source AI is big. To identify suitable open source tools to make your AI dream product is a herculean task. Selecting an AI toolkit for your product might turn out costly when you need to scale your software, thus it turns out to be a strategic decision. We at CereLabs have developed a criteria to choose Open Source AI Toolkit. Vision/ Reason for open source If you need to  trust an open source platform, you need to start with the vision statement with which the open source AI platform is launched. The  vision statement portrays the commitment of the company or community towards the toolkit.     Following are the visions of few of the reputed AI Open Source Platforms:       OpenCog : “OpenCog is a unique and ambitious open-source software project. Our aim is to create an open source framework for Artificial General Intelligence , intended to one day express general intelligence at the human level ...

Although Machine Learning has dominated the Artificial Intelligence scene for long, easy access to open source machine learning libraries is recently made possible. With the launch of TensorFlow, Google has made it possible for corporates to add intelligence to make sense of data. TensorFlow adds to the list of other popular open source Machine Learning libraries like Theano and Torch. The uniqueness of TensorFlow is that it has the strong support of Google, which is one of the early pioneers in AI research. Google, using DistBelief, has delivered a lot of successful tools such as Computer Vision, Speech Recognition, Natural Language Processing, Information Extraction, Geographic Information Extraction, Computational Drug Discovery, Language Translation, etc. Tensorflow is Google's second generation machine learning system.   Teaching machines was never so easy. TensorFlow lets you use most of the machine learning algorithms that Google employees use to add intelligence ...