A UK technology company is inserting customised product placement into films and TV shows – even those that were originally released decades ago. The firm uses artificial intelligence (AI) to analyse films and TV episodes for space where the ads or objects can be subtly inserted. It means old Hollywood classics like Casablanca or The Great Escape could soon appear on streaming services with the newest ads in the background, like a new Apple smartphone or the latest McDonald's whopper. Streaming services including Netflix and Amazon Prime Video could be temped by large offers from companies to insert their ads to content, to accompany the subscription fees from its userbase. Mirriad's technology could even allow different ads to be seen by different people, based on their internet search history, just like targeted ads on Facebook.

What is AI? Everything you need to know about Artificial Intelligence On the open ocean, identifying vessels can be challenging. Governments and maritime insurers use the Automatic Identification System (AIS) to identify ships, but bad actors can easily "go dark." If a ship has deactivated its AIS beacons, there's a chance it could be involved in smuggling, piracy, illegal fishing or human trafficking. Hawkeye 360 is a data analytics company that aims to address this challenge using space-based radio frequency (RF) mapping. The six year-old company, headquartered in Herndon, Virginia, operates a constellation of commercial satellites to detect, characterize and geolocate a broad range of RF signals.

Google is putting a bunch of iconic Japanese characters in Search as augmented reality objects you can interact with. The tech giant is giving you the chance to bring 14 familiar characters from anime, video games and TV shows into your environment, including Pac-Man and Hello Kitty. Apparently, Pac-Man remains the most-searched animated icon on Google, especially (for some reason) in Peru. Its worldwide search interest more than doubles the second-most searched character, Hello Kitty. Aside from those two, you'll also be able to summon Ultraman, Evangelion and Gundam robots, as well as Little Twin Stars characters into your space.

Video is on an exponential growth trajectory, and it's not just Netflix originals and HBO docs and new films on Amazon Prime. In today's world, when people aren't eating or sleeping (or perhaps even when they are), they are likely viewing a video. Each day, people watch over 1 billion hours of YouTube. Creating and delivering movies, news and other compelling visual content is no longer just for the Hollywood elite. In fact, some of today's most prolific storytellers are doing so with little resources and amateur tools.

The late theoretical physicist Albert Einstein has been brought back to life with a digital human platform that recreated the famous scientist's look and voice. Digital Einstein was developed to'put a friendly and well-known face on digital human technology' face between machines and humans.' Complete with the German accent, the digital copy speaks in a soft, friendly tone and is programmed with the same dry sense of humor as the real Einstein was said to have. Users can participate in daily quizzes and ask the AI-powered character questions about science, his life and work. Digital Einstein was developed to'put a friendly and well-known face on digital human technology' face between machines and humans' Einstein is well-known for his work in physics, specifically for the theory of relativity that changed the understanding of space time, gravity and the universe.

ColorShapeLinks is an AI competition for the Simplexity board game with arbitrary game dimensions. The first player to place n pieces of the same type in a row wins. In this regard, the base game, with a 6 x 7 board and n 4, is similar to Connect Four. However, pieces are defined not only by color, but also by shape: round or square. Round or white pieces offer the win to player 1, while square or red pieces do the same for player 2. Contrary to color, players start the game with pieces of both shapes.

Making novelty a central focus of modern AI research and evaluation has had the byproduct of producing an initial body of work in support of a science of novelty. Not only are researchers like ourselves exploring definitions and theories of novelty, but we are exploring questions that could have fundamental implications. For example, our team is exploring the question of when a novelty is expected to be impossibly difficult for an AI. In the real world, if such a situation arises, the AI would recognize it and call a human operator.

Artificial Intelligence is a topic which evokes mixed reactions among people. Some consider AI to be a technological revolution which will solve all our problems and transform our planet into a veritable paradise. Others equate AI with robots courtesy of Hollywood movies; not good robots but rather exceedingly intelligent but evil and villainous robots with nefarious plans to wipe out the entire human civilization. As a computer engineer, I have always had an insider view of the technologies and been witness to many technical changes over the decades. From BASIC, to C to C to Java – each iteration produced better and more sophisticated coding mechanisms.

Imagine you are in a job interview. As you answer the recruiter's questions, an artificial intelligence (AI) system scans your face, scoring you for nervousness, empathy and dependability. It may sound like science fiction, but these systems are increasingly used, often without people's knowledge or consent. Emotion recognition technology (ERT) is in fact a burgeoning multi-billion-dollar industry that aims to use AI to detect emotions from facial expressions. Yet the science behind emotion recognition systems is controversial: there are biases built into the systems.

Have you ever wondered how apps like Netflix or Spotify decide which movie or songs you're likely to prefer watching or listening to? Seems like magic, doesn't it? For instance, a lot of data is being mined and multiple complicated algorithms are developed by data science professionals in an attempt to make predictions more accurate. It is not magic but "machine learning." Machine learning is what allows the system to determine the movies and songs most relevant to your liking.