Job automation, algorithmic bias, and technological development are the first thoughts that spring to mind when we think of Artificial Intelligence. But at the same time, AI can be used in many fun and interesting ways. Here, we discuss ten fun AI tools that you must try out. Besides being a great way to kill boredom, they demonstrate how advanced AI has already become. Semantris is one of the many Google-powered AI experiments.

Artificial intelligence is already everywhere, and its influence is growing. It can be hard to get your head around exactly what AI does and how it can be deployed though, which is why we present to you these five fun online experiments--all you need is a web browser and a few minutes to see some of the party tricks AI is already capable of. Be wary of loading this one up unless you've got a bit of time to spare today, because it can be particularly addictive: The idea is to remove blocks from a wall by typing out definitions that Google's AI can recognize. Using machine learning algorithms, Google engineers have trained Semantris on billions of lines of sample dialog. By picking up associations between words, that should give the engine enough training to spot which word in the wall you're trying to define--though it can come up with some unexpected guesses.

Last week Google Research made news with the release of Semantic Experiences, a website that serves as a playground to evaluate some of the new advancements in natural language understanding(NLU) technologies. The initial release included two pseudo-games that illustrates the practical viability of some of Google's latest NLU research. The first experience included in the new website is called Talk to Books and enables users converse with a machine learning-trained algorithm that surfaces answers to questions with relevant passages from human-written text. As described by the Google Research team, Talk to Books allows you to "make a statement or ask a question, and the tool finds sentences in books that respond, with no dependence on keyword matching." They also added that, "In a sense you are talking to the books, getting responses which can help you determine if you're interested in reading them or not."

Google today announced a pair of new artificial intelligence experiments from its research division that let web users dabble in semantics and natural language processing. For Google, a company that's primary product is a search engine that traffics mostly in text, these advances in AI are integral to its business and to its goals of making software that can understand and parse elements of human language. The website will now house any interactive AI language tools, and Google is calling the collection Semantic Experiences. The primary sub-field of AI it's showcasing is known as word vectors, a type of natural language understanding that maps "semantically similar phrases to nearby points based on equivalence, similarity or relatedness of ideas and language." It's a way to "enable algorithms to learn about the relationships between words, based on examples of actual language usage," says Ray Kurzweil, notable futurist and director of engineering at Google Research, and product manager Rachel Bernstein in a blog post.