Archive for the ‘robotics/AI’ category: Page 1907
Dec 7, 2017
Google’s AI mastered chess in 4 hours
Posted by Genevieve Klien in categories: entertainment, robotics/AI
The robots are coming for your … chess game.
Google’s AI, AlphaZero, developed a “superhuman performance” in chess in just four hours.
Essentially, the AI absorbed humanity’s entire history of chess in one-sixth of a day — and then figured out how to beat anyone or anything.
Dec 7, 2017
AlphaZero Annihilates World’s Best Chess Bot After Just Four Hours of Practicing
Posted by Ian Hale in categories: entertainment, robotics/AI
Awesome!
A few months after demonstrating its dominance over the game of Go, DeepMind’s AlphaZero AI has trounced the world’s top-ranked chess engine—and it did so without any prior knowledge of the game and after just four hours of self-training.
AlphaZero is now the most dominant chess playing entity on the planet. In a one-on-one tournament against Stockfish 8, the reigning computer chess champion, the DeepMind-built system didn’t lose a single game, winning or drawing all of the 100 matches played.
Dec 6, 2017
Look into the future using the first smart glasses with Alexa control
Posted by Klaus Baldauf in categories: habitats, media & arts, mobile phones, robotics/AI
There are a lot of people in the world that need glasses on a daily basis. Despite their often expensive price tag, they do little more than correct poor eyesight. Let Glass updates glasses for the 21st century by integrating them with smart home connectivity.
While maintaining a slim form factor, Let Glass features audio entertainment, telephone communication, and voice interaction. Using Alexa and a built-in microphone, these frames allow users to control their smartphones without fumbling through their pockets. Simply tapping the legs of the smart glasses activate remote control functions, while voice commands handle everything else. In addition to Amazon Alexa, Apple Siri and Google Now are also supported.
Continue reading “Look into the future using the first smart glasses with Alexa control” »
Dec 6, 2017
This AI algorithm probably means the end of high-end art forgeries
Posted by Sean Cusack in categories: information science, robotics/AI
In the mid-1900s, art historian Maurits Michel van Dantzig developed a system to identify artists by their brush or pen strokes, which he called Pictology. Dantzig found shape, length, direction, and pressure all contributed to a kind of stroke signature, unique to each artist.
New research with contributions from The Hague suggests that Pictology might be the key to helping machines understand art, allowing systems to quickly verify whether brushstrokes were from an original painter or a forger.
After analyzing 80,000 brushstrokes from 297 digitized sketches and drawings, an AI system was able to spot forged drawings in the style of Pablo Picasso, Henri Matisse, and Egon Schiele with 100% accuracy. The “fakes” were commissioned recreations of specific drawings, which the algorithms had not been shown previously.
Continue reading “This AI algorithm probably means the end of high-end art forgeries” »
Max Tegmark’s Life 3.0 tries to rectify the situation. Written in an accessible and engaging style, and aimed at the general public, the book offers a political and philosophical map of the promises and perils of the AI revolution. Instead of pushing any one agenda or prediction, Tegmark seeks to cover as much ground as possible, reviewing a wide variety of scenarios concerning the impact of AI on the job market, warfare and political systems.
Yuval Noah Harari responds to an account of the artificial intelligence era and argues we are profoundly ill-prepared to deal with future technology.
Read more
Dec 4, 2017
Putting AI in Medicine, in Practice | Andreessen Horowitz
Posted by Odette Bohr Dienel in categories: health, machine learning, robotics/AI
Dec 4, 2017
Google’s AI builds its own AI child and it’s better than anything humans have made
Posted by Amnon H. Eden in categories: information science, robotics/AI
Of course, it’s not actually all that doom and gloom, the child AI is really only capable of a specific task – image recognition. Using its AutoML AI, Google’s AI-building AI created its child AI using a technique called reinforcement learning. This works just like machine learning, except it’s entirely automated where AutoML acts as the neural network for its task-driven AI child.
Known as NASNet, the child AI was tasked with recognising objects in a video, in real time. AutoML would then evaluate how good NASNet was at its task and then improve its algorithms using the data to create a superior version of NASNet.
READ NEXT: Watching an AI create fake celebrity faces is nightmare fuel.
Dec 4, 2017
I’m excited to share a short highlight video below of my work featured on NPO, Dutch Puublic TV
Posted by Zoltan Istvan in categories: robotics/AI, transhumanism
The show Robosapiens (about #robots) aired last night and had about a 5 minute section on my #transhumanism work. The footage is from a while back but just aired yesterday. My part is in English:
“Liever een computer die de nucleaire codes heeft dan Trump? Transhumanist Zoltan Istvan is ervan overtuigd dat kunstmatige intelligentie politici ooit zal kunnen vervangen. Meer in Robo sapiens, vanavond om 20.15u @NPO2
Liever een computer die de nucleaire codes heeft dan Trump? Transhumanist Zoltan Istvan is ervan overtuigd dat kunstmatige intelligentie politici ooit zal kunnen vervangen. Meer in Robo sapiens, vanavond om 20.15u @NPO2 pic.twitter.com/fhuaStpUP3— vpro (@vpro) December 3, 2017
Dec 4, 2017
Google’s AI Built Its Own AI That Outperforms Any Made
Posted by Sean Cusack in category: robotics/AI
In May 2017, researchers at Google Brain announced the creation of AutoML, an artificial intelligence (AI) that’s capable of generating its own AIs.
More recently, they decided to present AutoML with its biggest challenge to date, and the AI that can build AI created a ‘child’ that outperformed all of its human-made counterparts.
The Google researchers automated the design of machine learning models using an approach called reinforcement learning. AutoML acts as a controller neural network that develops a child AI network for a specific task.
Continue reading “Google’s AI Built Its Own AI That Outperforms Any Made” »
