If you've shopped in the online world, you've encountered recommendation engines. These artificial intelligence (AI) systems, also known as recommendation systems or recommender systems, leverage algorithms that help users find products and services based on their past buying behaviors, known preferences and more. Through their ability to predict interests and desires at a personalized level, recommendation engines help content and product providers drive people to music, video, books, clothes and just about any other product or service they might be interested in. Services like Amazon, Netflix, Spotify and YouTube make heavy use of recommendation engines in an effort to increase sales and improve customer satisfaction. Best Buy has some recommendations tailored to your tastes.

Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight wireless mesh network technology platform for both mobile and fixed solutions, announced that it is now implementing a new approach within its intelligent agent, recurrent relational reasoning (RRN). The new set of algorithms enables GBT's AI system to explicitly consider relations between objects (Static, moving), or abstract ideas. The RRN methodology will be implemented within Avant! AI within the next months, enabling it with logic analysis boost to handle vast information and data interpretation complexity. One of the key reasons for implementing this new method is to achieve outstanding image-based reasoning tasks for Avant!

The first tool studies a handful of "golden utterances" (that is, reference commands suggested by the developers) to learn general syntax and semantics patterns. After that, it produces "rewrite expressions" that themselves create thousands of new yet similar sentences to work from. The system works quickly -- you could move from 50 utterances to a fully operational linguistic set in less than two days. Amazon's other tool uses guided resampling to replace terms that can be safely swapped, further improving the AI's training. The technique draws both on data from existing Alexa languages as well as media sources like the Amazon Music catalog, and it's capable enough to be aware of context (it won't swap a musician's name for an audiobook, for example).

Cornell University's Elephant Listening Project is using artificial intelligence and audio recorders in a bid to save forest elephants from poachers.

It has two three-month programs that enable you to ace the abilities important to turn into an effective Machine Learning Engineer.

In the previous article, we studied Tensorflow, its functions, and its python implementations. In this article, we will be studying Artificial Intelligence and more popularly knows as AI. One thing that I believe is that if we are able to correlate anything with us or our life, there are greater chances of understanding the concept. So I will try to explain everything by relating it to humans.