Today Amazon launched 'Fire TV,' a new video streaming box designed to compete with devices like the Roku and Apple TV. The Fire TV runs Android on a quad-core Qualcomm 1.7 GHz processor with 8GB of internal storage and 2GB of RAM. It supports 1080p video output at 60fps and measures 4.5" x 4.5" x 0.7". The Fire TV is also explicitly designed to support gaming, and Amazon has concurrently launched their own game controller. The Fire TV's remote control includes a microphone and a button that lets you search TV show and movies by voice.

Sockatume (732728) writes "Would you like to see a half-million-dollar TV show in which four teams of indie developers and Youtube personalities compete to create amazing videogames? Tough luck, because GAME_JAM from Maker Studios has spectacularly imploded. Although a lot could go wrong with this kind of show, the blame isn't being levelled at game developer egos or project mismanagement but the heroic efforts of one Matti Leshem, a branding consultant brought in for Pepsi. After imposing Mountain Dew branding rules that even banned coffee from the set, his efforts to build a gender divide amongst the teams culminated in the competitors downing their tools and the production collapsing. Accounts from Adriel Wallick, Zoe Quinn, and Robin Arnott are also available."

KentuckyFC (1144503) writes "The question of what makes puzzles hard for humans is deceptively tricky. One possibility is that puzzles that are hard for computers must also be hard for people. That's undoubtedly true and in recent years computational complexity theorists have spent some time trying to classify the games people play in this way (Pac Man is NP hard, by the way). But humans don't always solve problems in the same way as computers because they don't necessarily pick the best method or even a good way to do it. And that makes it hard to predict the difficulty of a puzzle in advance. Cognitive psychologists have attempted to tease this apart by measuring how long it takes people to solve puzzles and then creating a model of the problem solving process that explains the data.

But the datasets gathered in this way have been tiny — typically 20 people playing a handful of puzzles. Now one researcher has taken a different approach by mining the data from websites in which people can play games such as Sudoku. That's given him data on the way hundreds of players solve over 2000 puzzles, a vast increase over previous datasets and this has allowed him to plot the average time it takes to finish different puzzles. One way to assess the difficulty of Sudoku puzzle is in the complexity of each step required to solve it. But the new work suggests that another factor is important too — whether the steps are independent and so can be attempted in parallel or whether the steps are dependent and so must be tried in sequence, one after the other. A new model of this puzzle-solving process accurately reproduces the time it takes real humans to finish the problems and that makes it possible to accurately predict the difficulty of a puzzle in advance for the first time. It also opens the way for other studies of human problem solving using the vast datasets that have been collected over the web. Indeed work has already begun on the Sudoku-like puzzle game, Nurikabe."