If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
A new startup has created an artificial intelligence system capable of mimicking voices that are unprecedentedly close to the real thing. In a video from Dessa, an AI company staffed by former employees of Google, IBM, and Microsoft, multiple audio clips demonstrate a machine-learning software that parrots the voice of popular podcaster, Joe Rogan to a degree that's almost indiscernible from the real thing. In the clips, the computer-generated Rogan muses on topics like chimpanzee's who can play hockey; it pulls off some adept tongue-twisters; and it even pontificates theories about how we're all living in a simulation, which as noted by The Verge, are some of Rogan's favorite topics. Joe Rogan is one of the most popular podcasters in the world, giving AI plenty of data to choose from when trying to mimic the host's voice In a response, even Rogan himself called the demonstration'terrifyingly accurate' reports CNET. What makes the demonstration more intriguing, or perhaps scary, according to Dessa is that software like the one demonstrated channeling Rogan could soon be commonplace.
Say hello to Joe Rogan: podcaster, entertainer of problematic views, and man who believes that feeding his all chimp hockey team a diet of bone broth and elk meat will give them the power to rip your balls off. Or, at least that's what the unaware listener might believe after listening to an entirely AI-generated clip of the popular podcaster. Unlike Rogan's typical totally coherent rants, this one is a total fabrication. "The replica of Rogan's voice the team created was produced using a text-to-speech deep learning system they developed called RealTalk," explained the researchers behind the clip in a blog post, "which generates life-like speech using only text inputs." This obviously calls to mind deepfakes, the video editing tech that can convincingly edit videos to make it look like people did or said things they in fact did not.
But they'll have nothing on Rikard Grönborg, the head coach of Sweden's national hockey team who will log over 400 consecutive hours during the Ice Hockey World Championships in Slovakia … sort of. Using advanced 3D and voice technology, agency Perfect Fools created a virtual Grönborg to report live on YouTube 24 hours a day through the duration of the tournament. The coach spent hours in front of the camera so the virtual anchor could learn his voice and mannerisms. Additionally, 20 years of hockey data was analyzed so the fake Grönborg could make predictions for all of the tournament's games. The end product does look and sound a little robotic but in all fairness, it's an ambitious project, and the technology is still somewhat nascent.
ESPN is making some welcome (and arguably overdue) improvements to its ESPN service that could change how and where you watch. Its updated app now includes personalized recommendations for ESPN, starting with on-demand videos. You'll probably see more highlight clips from the latest NHL matches. Recommendations will "soon" spread to live and future events, so you might spot big matches you would otherwise miss. The company is also borrowing a page from Netflix and other services by introducing offline viewing.
It's 2018 and the world doesn't quite look like a scene from "The Jetsons." However, technological innovation spurred by advancements in computing has allowed for artificial intelligence to bring significant changes to the way businesses operate, impacting our everyday lives. Recently acquired by L'Oreal, retail AI company ModiFace created a real-time app that takes the guesswork out of finding the perfect hair color or makeup product for consumers. Large beauty brands were able to help their customers virtually test products to select the right color or shade before buying online or in store. Sports analytics company ICEBERG uses AI to capture, visualize, and analyze game data, giving hockey coaches and their players faster insights to improve performance and plays.
Amazon is introducing new productivity tools for Alexa, including a new way for third party developers to manage reminders for customers. The new Reminders API is open to developers in all locales supported by Alexa, expanding the kinds of notifications Alexa users can get from the voice-activated assistant. With the API, customers can set reminders for information they'll want later, such as what time a store is closing, when a flight is scheduled to land or when their restaurant reservation is. When a customer is enabling a skill, they'll need to give permission for reminders; then, they need to give permission for each specific reminder they'd like to set. With the move, Amazon is seeding the developer community with features to launch more enterprise connections.
We introduce the problem of learning distributed representations of edits. By combining a "neural editor" with an "edit encoder", our models learn to represent the salient information of an edit and can be used to apply edits to new inputs. We experiment on natural language and source code edit data. Our evaluation yields promising results that suggest that our neural network models learn to capture the structure and semantics of edits. We hope that this interesting task and data source will inspire other researchers to work further on this problem.
In the months following the failed Apollo 13 mission, investigators discovered that a seemingly benign event two years earlier was the root cause of this near national disaster. Engineers handling one of two oxygen tanks built for the service module accidentally let one slip and fall. I once dropped my iPhone from my seat at a hockey game and watched helplessly as it fell 15 feet toward the cement floor. Miraculously, it landed at just the right angle and survived. In a fateful moment years before launch, at the North American Aviation plant in Downey, California, a simple slip of just two inches created enough structural damage to set in motion a series of failures that nearly killed three astronauts.
Sports betting is a popular past-time for many and a great use-case for an important concept known as dynamic programming that I'll introduce in this video. We'll go over concepts like value iteration, the markov decision process, and the bellman optimality principle, all to help create a system that will help US optimally bet on the winning hockey team in order to maximize profits. That's what keeps me going.
Engineers at the center have taught a computer how to detect tiny specks of lung cancer in CT scans, which radiologists often have a difficult time identifying. The artificial intelligence system is about 95 percent accurate, compared to 65 percent when done by human eyes, the team said. "We used the brain as a model to create our system," said Rodney LaLonde, a doctoral candidate and captain of UCF's hockey team. "You know how connections between neurons in the brain strengthen during development and learn? We used that blueprint, if you will, to help our system understand how to look for patterns in the CT scans and teach itself how to find these tiny tumors."