Last Sunday, a particularly unusual DotA 2 tournament took place. DotA, a complicated, real-time strategy game, is among the most popular e-sports in the world. The five players of one team--Blitz, Cap, Fogged, Merlini, and MoonMeander--were ranked in the 99.95th percentile, inarguably among the best DotA 2 players in the world. However, their opponent still defeated them in two out three games, winning the tournament. An evenly matched game is supposed to take 45 minutes, but these two were over in 14 and 21 minutes, respectively. Their opponent was a team of five neural networks developed by Elon Musk's OpenAI, collectively referred to as OpenAI Five.

The human team – made up of popular Twitch streamers and former professionals ranked in the 99.95th percentile – hunkered down to play against the bots known as OpenAI Five in San Francisco on Sunday. OpenAI Five smashed its opponents, winning comfortably in two out of three games. It did lose one game, however, after spectators watching the match live and on Twitch were allowed to pick the pool of heroes – the playable characters in the game. Each hero comes with its own strengths and weaknesses and picking a balanced combination is paramount to winning. If you have too many characters for the same role, the other team will steamroll you.

Later this month, the best Dota 2 teams in the world will meet in Vancouver for the biggest tournament of the year, The International. The annual contest consistently boasts the highest prize pool in eSports (it's up to $23.5 million already this year), not to mention the glory that comes with winning the prestigious event. It may not be long, however, before a team of non-human players becomes worthy of such success. This weekend, the all-bot roster of OpenAI Five took on a team of Dota 2 casters and ex-pro players that individually rank amongst some of the best in the world. OpenAI Five won the best-of-three exhibition match convincingly, and the only reason the human team took a game was thanks to a little help from the audience.

OpenAI's machine learning bots have beaten another team of semi-professionals in Dota 2, in their second public match in the traditional five-versus-five settings. You can watch the action on Twitch – complete with commenters typing in SKYNET! The human team – made up of popular Twitch streamers and former professionals ranked in the 99.95th percentile – hunkered down to play against the bots known as OpenAI Five in San Francisco on Sunday. OpenAI Five smashed its opponents, winning comfortably in two out of three games. It did lose one game, however, after spectators watching the match live and on Twitch were allowed to pick the pool of heroes – the playable characters in the game.

Sam Altman is the cofounder of AI research lab OpenAI, which developed the software that took on the humans at Dota 2 . Machines have scored another victory over humans in the ongoing man vs machine saga after a team of AIs working together successfully beat five semi-professional humans at the multiplayer online battle arena (MOBA) video game of Dota 2. 'Silicon beat meat' (as one spectator put it) 2-1. The team of AIs are known as OpenAI Five and they were developed by OpenAI, an artificial intelligence research lab founded by Elon Musk and Y Combinator president Sam Altman. OpenAI's agents previously beat some of the top human players in 1v1 matches but this is the first time a group of agents have come together to beat a team of humans in the top 99.95 percentile at Dota 2. The team modes are harder as they require more coordination and long-term planning. Greg Brockman, OpenAI cofounder and CTO, described the day of play as an "emotional ride" on Twitter.

The researchers are with OpenAI, a nonprofit artificial intelligence research group established in 2015.

OpenAI Five, the artificial intelligence bot that previously destroyed humans in the video game Dota 2, has just undergone another "benchmark" test -- taking on semi-professional Dota 2 players ranked in the 99.95th percentile in the world. Good news for humans: We fared a little better this time. After wiping the floor in warm up games with the audience, OpenAI Five had to take on a team of humans including former Dota 2 professionals and casters Merlini, Fogged, Cap and Blitz. In a three game series, OpenAI Five started strongly, winning the first two games comprehensively. In the final game, the OpenAI team let the audience select their team of five heroes, severely handicapping our future robot overlords.

Missing values widely exist in many real-world datasets, which hinders the performing of advanced data analytics. Properly filling these missing values is crucial but challenging, especially when the missing rate is high. Many approaches have been proposed for missing value imputation (MVI), but they are mostly heuristics-based, lacking a principled foundation and do not perform satisfactorily in practice. In this paper, we propose a probabilistic framework based on deep generative models for MVI. Under this framework, imputing the missing entries amounts to seeking a fixed-point solution between two conditional distributions defined on the missing entries and latent variables respectively. These distributions are parameterized by deep neural networks (DNNs) which possess high approximation power and can capture the nonlinear relationships between missing entries and the observed values. The learning of weight parameters of DNNs is performed by maximizing an approximation of the log-likelihood of observed values. We conducted extensive evaluation on 13 datasets and compared with 11 baselines methods, where our methods largely outperforms the baselines.

OpenAI has trained a human-like robot hand to manipulate physical objects with unprecedented dexterity. Their system, called Dactyl, is trained entirely in simulation and transfers its knowledge to reality, adapting to real-world physics. Dactyl learns from scratch using the same general-purpose reinforcement learning algorithm and code as OpenAI Five. The results show that it's possible to train agents in simulation and have them solve real-world tasks, without physically-accurate modeling of the world. Dactyl is a system for manipulating objects using a Shadow Dexterous Hand.

It's pretty crazy how far artificial intelligence has come, and what this robotic hand from Elon Musk's OpenAI is able to do is pretty amazing proof. A link has been sent to your friend's email address. A link has been posted to your Facebook feed. It's pretty crazy how far artificial intelligence has come, and what this robotic hand from Elon Musk's OpenAI is able to do is pretty amazing proof.