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.
If you're not into fashion, you may not recognize that name, but Karl Lagerfeld is to fashion as Wayne Gretzky is to hockey as Mick Jagger is to rock and roll as Steve Jobs is to consumer tech. He is, according to industry insiders, nothing less than a fashion god. Born in Hamburg, Germany in 1938, he designed his first line of clothing at the tender age of 17. His meteoric rise is legendary among creative directors and today at 83, he still has tremendous influence in the fashion world as creative director at Chanel and Fendi. Lagerfeld proved over decades that he had the creative vision to know what consumers would want next before they even knew themselves. He once said, "I am not a marketing person. I don't ask myself questions.
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."
Doctors may soon have help in the fight against cancer thanks to the University of Central Florida's Computer Vision Research Center. 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?
One way to measure progress in artificial intelligence is to chart victories by algorithms over champions of increasingly challenging games--checkers, chess, and, in 2016, Go. On Wednesday, five bots sought to extend AI's mastery to e-sports, in the fantasy battle game Dota 2. They failed, as a team of pro gamers from Brazil called paiN defended humanity's honor--for now. A crowd of thousands in Vancouver's hockey arena watched the bots battle paiN over 52 tense minutes packed with spells and firebolts. The human-machine contest was a side event to The International, a Dota 2 tournament that boasts the biggest purse in e-sports, at $25 million. The five bots that lost Wednesday were created by OpenAI, a research institute cofounded by Tesla CEO Elon Musk to work towards human-level artificial intelligence, and make the technology safe.