Computer vision. Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions.[1][2][3][4] A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image.[5] This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.[6] Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.[7] As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images.
Related fields[edit] Applications for computer vision[edit] Recognition[edit] 100+ Fun Things to Ask Siri. 100+ Fun Things to Ask Siri Siri, the revolutionary new personal assistant available only via the iPhone 4s sure does have quite a personality thanks to some slick artificial intelligence.
Figuring out some of Siri’s humorous answers to your questions as Siri grows at Apple HQ is a lot of fun. Here’s our compilation of the ones we’ve found on our own, and with the help of the Internet. Please add your own in the comments area below! Some questions have multiple answers, so be sure to ask Siri the same question a few times to hear all the answers! #18 is fun. What are you? Conan O’Brien iPhone 4s Siri Commercial Tags: 100 • ai • artificial intelligence • ask siri • best • complete • comprehensive • crazy • funny • funny siri • humorous • iPhone 4S • list • Personal Assistant • questions • silly • siri • top • what to ask siri Filed:Featured • iPhone.
Open Challenges in First-Person Shooter (FPS) AI Technology. First-person shooters have a reputation for driving graphics technology, and it's no different for AI.
Many notable innovations of the past few years have come from FPS games — including the AI Director from LEFT 4 DEAD, the STRIPS-planner from F.E.A.R. the HTN planner in KILLZONE 2, etc. With the latest wave of shooters being released in Q1 & Q2 2011 (e.g. CRYSIS 2, BULLETSTORM, BRINK) there's no better time to stop and take a look at which challenges are still ahead of us. Over the past month, while preparing the program for our Paris Shooter Symposium on June 22nd, I've been carefully taking notes about open research areas of research — based feedback from the developers at Crytek, People Can Fly, IO Interactive, Ubisoft.
The rest of this post includes topics that are still (at least) a few years away from being solved, sorted from low-level to high-level AI. Challenge A. Screenshot 1: Cover maps in KILLZONE 2, used for efficient line-of-sight. The Problem Suggestions Examples Summary. AIseek Intia Processor Tank Demo. PC AI sucks at Civilization, reads manual, starts kicking ass. The Massachusetts institute of technology have been experimenting with their computers' AI.
Specifically the way they deal with the meaning of words. You might think that the best way to analyse this kind of thing would be with a human to PC conversation, like in Short Circuit. That's not the case. Instead, the boffins handed over PC classic, Civilization, and let the AI get on with it. They sucked - winning a mere 46 per cent of the time. Then the researchers handed over the instructions and taught the PCs a "machine-learning system so it could use a player's manual to guide the development of a game-playing strategy. " Associate professor of computer science and electrical engineering, Regina Barzilay, offered insight into why they used a game manual to prove their point. Civ was picked because it's a really fun game, and they didn't want the computers to get bored during the testing. Not really. These kind of systems could make developer's jobs a lot easier. (via Reddit)