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) …
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.
Bixby Home is getting smarter. Well, in the sense that now in the US, Samsung's virtual assistant will offer sports scores and up-to-the-minute news coverage through a partnership with theScore. Swiping right on "select" Galaxy device home-screens including the S9 and S9 Plus gives access to the stats and news. To make the feature a little more useful, you can even follow your favorite teams and leagues so only the news that matters to you will show up. It all sounds pretty comprehensive too, with scores and news for EPL soccer, MLB baseball, NBA basketball, NFL football and NHL hockey.
Spotting the next star athlete has always been as much art as science, but artificial intelligence of the sort that's transforming everything from business to healthcare is starting to muscle in on professional athletics too. Computer vision, machine learning and other forms of AI use algorithms to analyze player performance statistics, game videos, and data from various sensors to identify talent that coaches and scouts might otherwise miss. And since the algorithms comb through data far faster than humans can, they give teams in-depth information on more players than previously possible. Professional baseball, basketball and hockey are among the sports now using AI to supplement traditional coaching and scouting. Baseball scouts in particular have long used statistics to evaluate players.
Fifteen were killed and 14 injured last April when a junior hockey team from Saskatchewan, Canada was involved in a bus crash while on a tournament. Compare this to the 12 kids who died in the Columbine shooting. There are 1,250,000 traffic deaths annually worldwide. In 2016, there were 37,461 traffic deaths in the United States alone, 2000 of them children under 16. There were 11,004 homicides by firearm.
A variety of machine learning models have been proposed to assess the performance of players in professional sports. However, they have only a limited ability to model how player performance depends on the game context. This paper proposes a new approach to capturing game context: we apply Deep Reinforcement Learning (DRL) to learn an action-value Q function from 3M play-by-play events in the National Hockey League (NHL). The neural network representation integrates both continuous context signals and game history, using a possession-based LSTM. The learned Q-function is used to value players' actions under different game contexts. To assess a player's overall performance, we introduce a novel Game Impact Metric (GIM) that aggregates the values of the player's actions. Empirical Evaluation shows GIM is consistent throughout a play season, and correlates highly with standard success measures and future salary.
Machine learning (ML) on the edge often involves convolutional neural networks (CNNs). This can be done using standard processors, but there's a cost due to performance and matching power requirements. Though specialized ML hardware can significantly reduce the amount of power, a programmable solution would provide a more flexible alternative. GreenWaves Technologies brings a RISC-V-based solution to the table, building on the Parallel Ultra Low Power Platform (PULP). PULP is designed to support four different 32-bit, RISC-V cores, including RISCY, Zero-riscy, Micro-riscy, and Ariane.