Computer Games

How to Pre-Order Both of Nintendo's Labo Kits


Nintendo has sold a lot of Switches in the last year thanks to the console's unique ability to play games on a TV and on the go, but also thanks to The Legend of Zelda: Breath of the Wild and Super Mario Odyssey. Though they came from 30 year-old franchises, both games helped millions fall in love with them all over again. In 2018, Nintendo is setting its sights in a direction it hasn't aimed at before: the do-it yourself crowd. Nintendo Labo are a series of experiences for Switch that let you (or your kids) build cardboard objects and play games with them. Robots, fishing poles, pianos... there's a lot to build and try here.

3Q: D. Fox Harrell on his video game for the #MeToo era

MIT News

The Imagination, Computation, and Expression Laboratory at MIT's Computer Science and Artificial Intelligence Laboratory has released a new video game called Grayscale, which is designed to sensitize players to problems of sexism, sexual harassment, and sexual assault in the workplace. D. Fox Harrell, the lab's director, and students in his course CMS.628 (Advanced Identity Representation) completed the initial version of the game more than a year ago, and the ICE Lab has been working on it consistently since. But it addresses many of the themes brought to the fore by the recent #MeToo movement. The game is built atop the ICE Lab's Chimeria computational platform, which was designed to give computer systems a more subtle, flexible, and dynamic model of how humans categorize members of various groups. MIT News spoke to Harrell, a professor of digital media and artificial intelligence, about Grayscale (or to give it its more formal name, Chimeria:Grayscale). Q: How does the game work?

Microsoft is working on 'building-scale' VR for disaster simulations


Scaling up VR to areas larger than your living room is a focus for a number of game developers right now, but Microsoft is working on expanding the size capabilities of the tech for a much more important reason: disaster management. In a lecture video, the Microsoft Research team explains how it's reconstructing entire buildings in a VR sphere to help occupants learn how to act in disaster scenarios, such as earthquakes or flooding. Using a mobile robot equipped with a laser-range sensor, an RGB depth camera and a 4K panoramic image camera, the team can virtually reproduce the interiors of buildings in what it calls "Building-scale VR". The mobile robot also scans individual physical objects by moving around them automatically. In the disaster simulations, both the building and objects can be manipulated, giving the VR headset wearer the opportunity to safely experience potentially dangerous situations, which according to the researchers is just as, if not more, effective than real world training.

Demystifying the Artificial Intelligence (AI) hype for game developers


Even if you have been living under a rock, you would have heard of AI. Because developers use game AI all the time. But the same term means different things to different people. We will try to tease out the differences here. Game AI refers to the programming that controls the behavior of computer generated characters, also known as non player characters (NPC).

AI is escalating more swiftly than one could ever imagine. - Data Science Wale


Go has many more possible configurations than chess, so its computation is evidently difficult. But, yes, in this they have used a deep reinforcement learning approach, defines as to take many possible actions to get a reward and chooses an action through which it earns a best reward. There is another story of very old and popular game Mario, Sethbling a programmer developed a computer program who learned by itself how to play Super Mario World. That program, named MarI/O taught itself by doing different tries, example it learned from its own demise and tried to jump in every next try at each and every point it got killed previously. It followed a neural network approach to learn how to play game, this approach is same as human brain's working process.

Salesforce research


Deep reinforcement learning (deep RL) is a popular and successful family of methods for teaching computers tasks ranging from playing Go and Atari games to controlling industrial robots. But it is difficult to use a single neural network and conventional RL techniques to learn many different skills at once. Existing approaches usually treat the tasks independently or attempt to transfer knowledge between a pair of tasks, but this prevents full exploration of the underlying relationships between different tasks. When humans learn new skills, we take advantage of our existing skills and build new capabilities by composing and combining simpler ones. For instance, learning multi-digit multiplication relies on knowledge of single-digit multiplication, while knowing how to properly prepare individual ingredients facilitates cooking dishes with complex recipes.

Artificial intelligence can 'evolve' to solve problems


Many great ideas in artificial intelligence languish in textbooks for decades because we don't have the computational power to apply them. That's what happened with neural networks, a technique inspired by our brains' wiring that has recently succeeded in translating languages and driving cars. Five new papers from Uber in San Francisco, California, demonstrate the power of so-called neuroevolution to play video games, solve mazes, and even make a simulated robot walk. Neuroevolution, a process of mutating and selecting the best neural networks, has previously led to networks that can compose music, control robots, and play the video game Super Mario World. But these were mostly simple neural nets that performed relatively easy tasks or relied on programming tricks to simplify the problems they were trying to solve.

Tobii proves that eye tracking is VR's next killer feature


There are plenty of ways virtual reality headsets could get better. They could offer higher-resolution screens (like the new Vive Pro), a wider field of view and improved built-in tracking sensors. But another feature might be even more essential: eye tracking. It's not a new concept -- we've been following FOVE's eye-tracking headset, as well as 7Invensun's Vive accessory, for a few years now. But it seems more important than ever as consumer VR winds up.

10 products from CES 2018 I would buy today


Now available in new colors and with Dell Mobile Connect, which lets you wirelessly tether a smartphone, the Dell XPS 13 is the smallest and most powerful 13-inch laptop in the world. LAS VEGAS--What happens in Vegas doesn't always stay in Vegas -- at least hopefully not for a bunch of the products showcased here last week. Some of the technology that debuts at CES, the annual consumer electronics show, turns out to be "vaporware," that is, it will never make a commercial debut for one reason or another. But the following ten products should have a chance vying for space in your home or driveway. Beginning this summer, Lenovo's VR headset doesn't require a connection to a device, like a smartphone, laptop, or game console.

How video games are changing AI


Artificial Intelligence (AI) is some of the most talked about technology of the future, people are wondering where it is going, how it can be used and what impact it is going to have on our lives. But the development of AI has been going on for years, especially when we look at video games. The mass development and growth of AI can be attributed to the gaming industry, as they have been using this technology for years, and developers have been learning from it. In America an AI researcher used the artificial intelligence in the video game'Grand Theft Auto' to teach the AI in self-driving cars to understand stop signs. As the game produced different versions of stop signs in different situations, e.g. in fog, rain or sun, he was able to teach the algorithm in his AI how to recognise these signs when on the road.