The effect is kind of like a futuristic, super-nonsensical Shakespeare play. If anything, the film shows that a movie can get surprisingly far relying entirely on body language, tone of voice, and a little mood music. Benjamin's creators have since turned the program to churning out feature film ideas, so watch out for a machine-learning movie to hit theaters in the future.

Knowing that an AI wrote Sunspring makes the movie more fun to watch, especially once you know how the cast and crew put it together. Director Oscar Sharp made the movie for Sci-Fi London, an annual film festival that includes the 48-Hour Film Challenge, where contestants are given a set of prompts (mostly props and lines) that have to appear in a movie they make over the next two days. Sharp's longtime collaborator, Ross Goodwin, is an AI researcher at New York University, and he supplied the movie's AI writer, initially called Jetson. As the cast gathered around a tiny printer, Benjamin spat out the screenplay, complete with almost impossible stage directions like "He is standing in the stars and sitting on the floor." Then Sharp randomly assigned roles to the actors in the room.

Dango is the name of the recently released Android app powered by artificial intelligence (AI) which was trained to use neural networks in order to identify the best emoji, stickers, and GIF images for all of your instant messaging needs. Developed by an independent Canadian studio Whirlscape, Dango uses various neural networks in order to find multimedia content which best fits with what you're currently typing about. This creation has an extremely similar philosophy to that of Minuum, one of the best Android keyboards ever developed that's loved by many Android and Android Wear users due to its minimalist design and intelligent word prediction capabilities. While it's not a keyboard per se, Dango is an app that will improve whatever keyboard you happen to be using on your device. It flawlessly integrates with your keyboard of choice and takes only an extra line of space above it where it suggests emoji, GIF images, and stickers related to the contents of your current message.

The sports fields are empty, the science labs closed. No babies have been born for years. Cut to a split screen of human and robots kissing passionately. "They're trapped!" says the narrator, voice like gravel. Words slam against the screen, a warning. Except Futurama's 2001 episode "I Dated a Robot", with its post-apocalyptic world of silvers and blues, wildly overestimated how long it would take before this fear became flesh. It's November 2015, and in Malaysia, where humidity is at 89% and it is almost certainly still raining, David Levy, a founder of the second annual Congress on Love and Sex with Robots, is free to talk on the phone – he is less busy than planned.

Early diagnosis is key to gaining the upper hand against a wide range of diseases. Now Microsoft researchers are suggesting that records of the topics that people search for on the Internet could one day prove as useful as an X-ray or MRI in detecting some illnesses before it's too late. The potential of using engagement with search engines to predict an eventual diagnosis – and possibly buy critical time for a medical response -- is demonstrated in a new study by Microsoft researchers Eric Horvitz and Ryen White, along with former Microsoft intern and Columbia University doctoral candidate John Paparrizos. In a paper published Tuesday in the Journal of Oncology Practice, the trio detailed how they used anonymized Bing search logs to identify people whose queries provided strong evidence that they had recently been diagnosed with pancreatic cancer – a particularly deadly and fast-spreading cancer that is frequently caught too late to cure. Then they retroactively analyzed searches for symptoms of the disease over many months prior to identify patterns of queries most likely to signal an eventual diagnosis.

The diagram is actually a computer program, so once the user designs the workflow, they can simply click a button to conduct the analysis. WAIVS includes not just discrete tonal analysis but other image-analysis algorithms, including the latest computer vision and artistic style algorithms. Recent work by Leon Gatys and others at the University of Tübingen, Germany, has demonstrated the use of deep learning techniques and technology to create images in the style of the great masters like Van Gogh and Picasso. The specific deep learning approach, called convolutional neural networks, learns to separate the content of a painting from its style. The content of a painting consists of objects, shapes and their arrangements but usually does not depend upon the use of colors, textures and other aspects of artistic style.

Machine learning is making its move into virtually every realm that uses computer technology, and it's easy to see why. The artificial intelligence that drives machine learning doesn't need to be specifically programmed to perform a certain job. Instead, algorithms analyze real-time data and use patterns to control computer functions. Perhaps one of the best known examples of machine learning is the self-driving car, but it is used to allow businesses to predict customer purchasing behavior and may soon assist TSA in passenger screening. There is little doubt that machine learning will revolutionize business and everyday life.

Last month, Google took the stage in Mountain View, California, to show off improvements to its digital voice assistant. Its signature ability is to have a conversation with it like you would a normal person. You can ask "Google Assistant" what's on your schedule and then have it text the person you're meeting to say you'll be late. Google remembers your first question, so you don't have to start over with a new command. Like a real person, it builds off what you were talking about earlier.

The reality is AI has been around for decades, however, compute power and the seismic drop in the cost of processing data means that early market movers will share considerable competitive advantage over their competitors. A host of lauded technology CEOs claim that AI will have a greater business impact than social, cloud and mobile put together, this is some statement when you consider these are all multi-billion dollar industries within their own right. The US technology market for AI is exploding in front of our eyes, yet other regions such as UK&I, EMEA, APAC and Indian markets are somewhat nascent, sceptical and still testing the water. Here at Chatterbox Labs we are seeing global corporations headquartered in the US looking for multi-lingual AI that can be deployed in lightning quick timeframes with speed, scale and accuracy outcomes. The word "OUTCOME" within the AI field is somewhat distorted, therefore, we as a company derive this term to fall within 3 categories: The scepticism surrounding AI business benefit is fully justified within the market today in that many large organisations claim to have AI market ready today by spending tens of millions on advertising and TV campaigns.

BMW is hiring experts in machine learning and artificial intelligence as it develops the Vision Next 100 into a flagship production model due to launch in 2021. According to BMW CEO Harald Krueger says the high-speed of technological advances is giving BMW new rivals such as Tesla but also new opportunities in areas such as artificial intelligence. "Until very recently our competitors were Mercedes, Audi and Porsche," Krueger said. "Now we are looking at newcomers such as Tesla or Faraday Future -- who knew these companies 10 years ago? "It shows how our industry is changing," the CEO said Wednesday in a keynote speech in the BMW World exhibition center near the company's Munich headquarters, held on the sidelines of the Automotive News Europe Congress. Earlier this year, the German automaker announced its new strategy focusing on electric vehicles, automated driving and new services in the field of premium individual mobility. To highlight the importance of machine learning, the BMW boss gave two powerful examples. Furthermore, Krueger says BMW's Vision Next 100 self-driving concept already showcases such advances. "The companion in the Vision Next 100 car is just that: a real companion that gets to know you as a person and responds to you as an individual," Krueger said. "I firmly believe this is not a threat to us, it's much more a huge opportunity to all of us -- mobility become more versatile.