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Archive for the ‘robotics/AI’ category: Page 1826

May 31, 2019

DeepMind’s Gamer AI is Better At Co-op Mode Than Human Players

Posted by in categories: entertainment, robotics/AI

The AI taught itself the skill through a technique called reinforcement learning — essentially, it picked up the rules of the game over thousands of matches in randomly generated environments.

A paper on their research was published today in Science.

“How you define teamwork is not something I want to tackle,” Max Jaderberg, a DeepMind researcher who worked on the project told The New York Times. “But one agent will sit in the opponent’s base camp, waiting for the flag to appear, and that is only possible if it is relying on its teammates.”

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May 30, 2019

Breaking: robot makes breakfast

Posted by in category: robotics/AI

Researchers have programmed a robot to crack an egg. It’s more important than it sounds. Mark Bruer reports.

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May 30, 2019

Mad Scientist initiative helps illustrate ‘realm of the possible’

Posted by in categories: law, robotics/AI

A Mad Scientist conference in Austin, Texas, recently addressed robotics, artificial intelligence and autonomy, the future of space, planetary habitability, and the legal and ethical dilemmas surrounding disruptive technologies.

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May 30, 2019

The Future of Artificial Intelligence and Cybernetics

Posted by in categories: cyborgs, internet, robotics/AI

This post by Prof. Kevin Warwick originally appeared at OpenMind.

Article from the book There’s a Future: Visions for a Better World

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May 30, 2019

How Starship Technologies Pioneered The Delivery Robot Model

Posted by in categories: robotics/AI, space travel

Excited about the impending delivery robot revolution? If so, you need to know about Starship Technologies, the company which kickstarted the whole thing. Founded by two of the original creators of Skype, Starship is poised to change the world of deliveries. Here’s what you need to know.

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May 29, 2019

Defense against wireless attacks using a deep neural network and game theory

Posted by in categories: business, habitats, internet, mobile phones, robotics/AI, security

A growing number of devices are now connected to the internet and are capable of collecting, sending and receiving data. This interconnection between devices, referred to as the Internet of Things (IoT), poses serious security threats, as cyberattackers can now target computers and smartphones, but also a vast array of other devices, such as tablets, smart watches, smart home systems, transportation systems and so on.

For the time being, examples of large-scale IoT implementations (e.g. connected infrastructure, cities, etc.) are somewhat limited, yet they could soon become widespread, posing significant risks for businesses and public services that heavily rely on the internet in their daily operations. To mitigate these risks, researchers have been trying to develop to protect devices connected to the internet from wireless attacks.

To this end, two researchers at Baoji University of Arts and Sciences, in China, have recently developed a new method to defend devices in an IOT environment from wireless network attacks. Their approach, presented in a paper published in Springer’s International Journal of Wireless Information Networks, combines a with a model based on , a branch of mathematics that proposes strategies for dealing with situations that entail competition between different parties.

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May 29, 2019

Sensor-packed glove learns signatures of the human grasp

Posted by in categories: biotech/medical, cyborgs, robotics/AI

Wearing a sensor-packed glove while handling a variety of objects, MIT researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone. The information could be leveraged to help robots identify and manipulate objects, and may aid in prosthetics design.

The researchers developed a low-cost knitted glove, called “scalable tactile glove” (STAG), equipped with about 550 tiny sensors across nearly the entire hand. Each sensor captures pressure signals as humans interact with objects in various ways. A processes the signals to “learn” a dataset of pressure-signal patterns related to specific objects. Then, the system uses that dataset to classify the objects and predict their weights by feel alone, with no visual input needed.

In a paper published in Nature, the researchers describe a dataset they compiled using STAG for 26 common objects—including a soda can, scissors, tennis ball, spoon, pen, and mug. Using the dataset, the system predicted the objects’ identities with up to 76 percent accuracy. The system can also predict the correct weights of most objects within about 60 grams.

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May 29, 2019

The ‘Godfathers of AI’ win Turing Award

Posted by in categories: robotics/AI, transportation

Self-driving cars, voice assistants, and facial recognition technology are just a few of the advancements made possible by Hinton, LeCun, and Bengio’s work.

The award, named after British mathematician Alan Turing, carries a $1 million prize, which the trio will split. Previous Turing Award winners include Tim Berners-Lee, best known for inventing the World Wide Web.

Hinton is currently a top AI researcher at Google. LeCun is now at Facebook, working as the company’s chief AI scientist. Bengio has remained in academia but has worked with companies such as AT&T, Microsoft, and IBM.

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May 29, 2019

Can AI Detect Deepfakes To Help Ensure Integrity of U.S. 2020 Elections?

Posted by in category: robotics/AI

Startup Deeptrace is racing to develop automated detection of fake videos and images as U.S. 2020 elections loom.

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May 29, 2019

How AI Might Help Us Decode Our World

Posted by in category: robotics/AI
Creative Commons image: https://pixabay.com/images/id-1841550/

Popular films like “Her” and series such as “Black Mirror” depict a future of intimate relationships in a high-tech world: Man falls in love with operating system, woman loves person she meets in virtual reality. The rise of technologies like artificial intelligence (AI) may play a huge role in the future of our interpersonal relationships. Hardware, such as robots we could touch and feel, are one example of what this AI could look like; another would be software, or algorithms that take on a persona like Alexa or Siri and can seemingly interact with us.

Beyond overused sci-fi clichés, there’s great potential for AI to increase the authenticity and value of real human relationships. Below are some impressions of how AI might enhance the quality of friendship, romantic and professional relationships.

Dating

Men are from Mars and women are from Venus, but AI can be programmed to translate, helping circumvent missteps in love. Algorithms as key matchmakers in the future of dating might provide the support and information people need beyond the first date. For example, an AI personal assistant may give insights on how to approach someone for a second date, based on information culled from the first meeting, the internet and various digital databases. Soon, one’s tweets, likes and Facebook circle of friends could be used to build our dating profile and then a fool-proof guide to dating the other person.

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