What would an adventure game designed by the world's most dangerous A.I. look like? A neuroscience grad student is here to help you find out. Earlier this year, OpenAI, an A.I. startup once sponsored by Elon Musk, created a text-generating bot deemed too dangerous to ever release to the public. Called GPT-2, the algorithm was designed to generate text so humanlike that it could convincingly pass itself off as being written by a person. Feed it the start of a newspaper article, for instance, and it would dream up the rest, complete with imagined quotes.
CHIBA – At this year's Tokyo Game Show, the big draw was next-generation 5G networking -- setting pulses racing with the prospect of a radically more immersive gaming experience. Offering data transmission speeds around 100 times faster than 4G, 5G is expected to enable more seamless imagery -- particularly lower latency, more vivid images -- and sharper motion. Industry experts say it will dramatically improve the quality of augmented and virtual reality games. "It was very smooth, responsive and consistent," said Omar Alshiji, a 23-year-old game designer from Bahrain, after trying out the fighting game Tekken at the NTT Docomo Inc. booth. The major mobile carrier installed 5G base stations at its booth this year, making the high-speed network available at the show.
It's been 10 years since the first ever Mario AI Competition, so I return to the world of Super Mario level generation research and catch up one some of the more interesting examples that have arisen in recent years. This video is inspired by the following AI research papers and projects: NOOR SHAKER: http://lynura.com/publications.php It's is supported through and wouldn't be possible wthout the wonderful people who support it on Patreon. You can follow AI and Games (and me) on Facebook, Twitter and Instagram: http://www.facebook.com/AIandGames
CHIBA – Next-generation 5G networking was the big draw at Tokyo Game Show 2019, setting pulses racing with the prospect of a radically more immersive gaming experience. Offering data transmission speeds around 100 times faster than 4G, 5G is expected to enable more seamless imagery with lower latency, more vivid images and sharper motion. Industry experts say it will dramatically improve the quality of augmented and virtual reality games. "It was very smooth, responsive and consistent," said Omar Alshiji, a 23-year-old game designer from Bahrain, after trying out the fighting game "Tekken" at the NTT Docomo Inc. booth at the four-day game show in Chiba. The major mobile carrier installed 5G base stations at its booth this year, making the high-speed network available at the show.
And yet, AI's current automated task-mastering was first posited by the French philosopher René Descartes almost 400 years ago. Descartes, who famously coined, "I think, therefore I am," pondered about the ability of machines to reason. While machines may be able to "do some things as well, or better, than humans, they would inevitably fail in others," whereas human reason can universally adapt to any task. Though Descartes' idea of machines differs from today's reality, some say he threw down the gauntlet for what we now refer to as general AI--or machines that can think like humans. Though Descartes' idea of machines differs from today's reality, some say he threw down the gauntlet for what we now refer to as general AI--or machines that can think like humans.
If you want to experience the whole breadth of video game history, not just the narrow slice that publishers are willing to sell you on a given day, chances are you're using emulators. Retro consoles are cool and all, but emulators give you even more control as to what classic blasts for the past you can (legally) play on your PC. Emulators can even offer modern conveniences those old games lacked like online functionality or generous save states. And now a nifty new 1.7.8 update to RetroArch (coming soon to Steam) uses machine learning to translate Japanese console and arcade video games in real time. As reported by Kotaku, the feature is called AI Service and offers several different translation tools.
We've seen people turn neural networks to almost everything from drafting pickup lines to a new Harry Potter chapter, but it turns out classic text adventure games may be one of the best fits for AI yet. This latest glimpse into what artificial intelligence can do was created by a neuroscience student named Nathan. Nathan trained GPT-2, a neural net designed to create predictive text, on classic PC text adventure games. Inspired by the Mind Game in Ender's Game, his goal was to create a game that would react to the player. Since he uploaded the resulting game to a Google Colab notebook, people like research scientist Janelle Shane have had fun seeing what a text adventure created by an AI looks like.
Codes and demo are available. This article explores what are states, actions and rewards in reinforcement learning, and how agent can learn through simulation to determine the best actions to take in any given state. After a long day at work, you are deciding between 2 choices: to head home and write an article or hang out with friends at a bar. If you choose to hang out with friends, your friends will make you feel happy; whereas heading home to write an article, you'll end up feeling tired after a long day at work. In this example, enjoying yourself is a reward and feeling tired is viewed as a negative reward, so why write articles?
Typically, a RL setup is composed of two components, an agent and an environment. Then environment refers to the object that the agent is acting on (e.g. the game itself in the Atari game), while the agent represents the RL algorithm. The environment starts by sending a state to the agent, which then based on its knowledge to take an action in response to that state. After that, the environment send a pair of next state and reward back to the agent. The agent will update its knowledge with the reward returned by the environment to evaluate its last action.
Synthetic biology is a rapidly accelerating market, with an estimated conservative global valuation of around US$14 billion.1 To polymath hacker and explorer JJ Hastings, the ability to produce fast, efficient and customisable materials enabled by machine learning and computer-aided design will change the world with an array of entirely new, advanced materials. The extraordinary is now possible: producing spider silk without spiders, egg proteins without chickens and fragrances without flowers. These materials can now be produced by renewable feedstock, reducing the need for large scale agricultural bases or energy-intensive manufacturing. The predicted impact of biomanufacturing drew US$1.7 billion in 2017 investment alone.2 Synthetic biology companies are partnering with fashion designers, heavily backed by VC dollars, as well as forming'organism foundries'.