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) …
So much for the best Dota 2 players having the skill to fend off cutting-edge AI. OpenAI Five has beaten five players from OG, the veteran team that won Valve's 2018 International, in a best-of-three exhibition match. The Verge noted that the deep learning system thrived by relying on aggressive and unconventional methods, including instant revivals for heroes in the early stages, and picking valuable heroes. While OG put up a fight (the first round lasted over 30 minutes), it couldn't hold out. OpenAI also used the exhibition to show that Five could play alongside human players and learn from their play styles.
From the beginning if the history of AI, there has been interest in games as a platform of research. As the field developed, human-level competence in complex games became a target researchers worked to reach. Only relatively recently has this target been finally met for traditional tabletop games such as Backgammon, Chess and Go. Current research focus has shifted to electronic games, which provide unique challenges. As is often the case with AI research, these results are liable to be exaggerated or misrepresented by either authors or third parties. The extent to which these games benchmark consist of fair competition between human and AI is also a matter of debate. In this work, we review the statements made by authors and third parties in the general media and academic circle about these game benchmark results and discuss factors that can impact the perception of fairness in the contest between humans and machines
AI and Games is a crowdfunded show and needs your support. You can help fund this series on Paypal, KoFi and Patreon (where you can get access to additional content). You can follow AI and Games on Facebook and Twitter: http://www.facebook.com/AIandGames I take a look at the potential MOBAs have to become the next big thing in AI research and some of the work that's already been achieved in academia and corporate R&D. "Varus As We Fall" from the League of Legends Soundtrack "Pre-Game" from the DOTA2 Soundtrack "Legends Never Die" from the League of Legends Soundtrack
AI research nonprofit OpenAI has created a system that can generate fake text from a single line -- and it's not open-sourcing the code for fear of misuse. OpenAI was cofounded by tech mogul Elon Musk, and its sponsors include Silicon Valley heavy-hitters such as Peter Thiel and Amazon Web Services. Last year it gained the praise of Bill Gates after it built a team of five neural networks capable of beating human players in the computer game "Dota 2." Read more: Bill Gates hails "huge milestone" for AI as bots work in a team to destroy humans at video game "Dota 2" Now the company has created a system, named GPT2, capable of imitating and generating text based on only a sentence. The Guardian's Alex Hern got to play with the system, and tried typing in a single Guardian headline about Brexit. From that headline alone, GPT2 was able to generate quotes from UK Labour leader Jeremy Corbyn as well as a fictional spokesman for Prime Minister Theresa May.
Artificial intelligence (AI) systems' rapid advances are continually crossing rows off the list of things humans do better than our computer compatriots. AI has bested us at board games like chess and Go, and set astronomically high scores in classic computer games like Ms. Pacman. More complex games form part of AI's next frontier. While a team of AI bots developed by OpenAI, known as the OpenAI Five, ultimately lost to a team of professional players last year, they have since been running rampant against human opponents in Dota 2. Not to be outdone, Google's DeepMind AI recently took on--and beat--several professional players at StarCraft II.
Gamers everywhere were watching as OpenAI, an artificial intelligence lab co-founded by Elon Musk, pitted a team of bots against some of the world's best Dota 2 players at an annual tournament back in June. Machines had been on a winning streak. In 2016, DeepMind's AI mastered Go. In 2017, a poker-playing bot called Libratus, developed by a team at Carnegie Mellon University in Pennsylvania, won a professional Heads-Up No-Limit Texas Hold'Em tournament.
Professional athletes are no strangers to the power of artificial intelligence. Whether it's the computer vision tools that help pitchers perfect their delivery or the machine learning platform that predicts when soccer players are at risk of injury, AI is empowering athletes to achieve previously unthinkable levels of performance. While spectator gaming events are not yet quite as popular as professional football or soccer, the esports industry is expected to generate $1.65 billion in U.S. revenues by 2020. With so much money at stake in one of the fastest-growing parts of the media landscape, it's only natural that elite gamers are looking for an edge wherever they can find one. Increasingly, this means that gamers are turning to state-of-the-art AI technology for in-depth gameplay analysis, granular predictions and personalized recommendations -- just like their pro sports peers.
Most of the games that machines can now challenge humans in are strategic, but slow: Chess, Go and poker, unless played in very specific settings, have no time constraints on player moves. That is what has made the work of research group OpenAI, in online team brawler Dota 2 - which requires real-time decision-making between potentially dozens of choices in a single frame - so different. OpenAI's bots, the OpenAI Five, went head-to-head against teams of professional players at Dota 2's annual championship, The International, this August. Although the bots lost, the matches provided an insight into how reinforcement learning is changing the game when it comes to artificial intelligence. It's safe to say that AI has a reputation in gaming: many players consider a match to be an instant loss if they have to play with a bot, and a disconnect is often accompanied by "GG".
I'm sure every one of you must have heard of this buzzword Machine Learning. Let's jump into its basics. Note: This is just an overview to have quick knowledge about machine learning and how it is helpful. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Last week, humanity struck back against the machines -- sort of. Actually, we beat them at a video game. In a best-of-three match, two teams of pro gamers overcame a squad of AI bots that were created by the Elon Musk-founded research lab OpenAI. The competitors were playing Dota 2, a phenomenally popular and complex battle arena game. But the match was also something of a litmus test for artificial intelligence: the latest high-profile measure of our ambition to create machines that can out-think us. In the human-AI scorecard, artificial intelligence has racked up some big wins recently.