Members of the European Parliament on Thursday urged the European Commission to propose rules on robotics and artificial intelligence (AI) with a view to fully exploiting their economic potential and guaranteeing a standard level of safety and security.
Parliamentarians noted that regulatory standards for the use of robots were currently being planned in several nations. They argued that the EU needed to take the lead on setting such standards so as not to be forced to follow those set by third countries.
They also emphasized that draft legislation was urgently required to clarify liability issues, especially for the use of self-driving cars. MEPs suggested a mandatory insurance scheme and a supplementary fund "to ensure that victims of accidents involving driverless cars are fully compensated." Cont'd...
Lynne ODonnell for Sci-Tech Today: Inspired by his belief that human beings are essentially terrified of robots, Ben Russell set about charting the evolution of automatons for an exhibition he hopes will force people to think about how androids and other robotic forms can enhance their lives.
Robots, says Russell, have been with us for centuries -- as "Robots," his exhibit opening Wednesday at London's Science Museum, shows.
From a 15th century Spanish clockwork monk who kisses his rosary and beats his breast in contrition, to a Japanese "childoid" newsreader, created in 2014 with lifelike facial expressions, the exhibition tracks the development of robotics and mankind's obsession with replicating itself. Cont'd...
Oscar Williams-Grut for Business Insider: The government is putting cutting edge technologies such as artificial intelligence (AI), 5G wireless internet, "smart" energy technology, and robotics at the heart of its new post-Brexit industrial strategy.
Theresa May is set to launch the government's "Modern Industrial Strategy" on Monday at a regional meeting of the cabinet in the North West.
The Prime Minister announced in a release on Sunday evening that the strategy would be focused around ten key strategic pillars, the first of which is: "Investing in science, research, and innovation." Cont'd...
Liu Zheng for China Daily: A China-made mobile robot is set to begin mass production for consumers later this year.
Ninebot (Beijing) Tech Co Ltd, backed by Smartphone maker Xiaomi, unveiled its self-balancing two-wheeled robot on Thursday in Beijing.
Named "Loomo", the robot was transformed from the Ninebot Mini series scooter, which was first launched in October 2015, months after the company made an announcement to acquire the 12-year-old US-based balancing-scooter pioneer Segway Inc, and became one of the largest patent holders in the industry.
The acquisition followed an $80 million investment in Ninebot by Xiaomi, Sequoia Capital and other investors. Cont'd...
Graeme Wearden for The Guardian: The “fourth industrial revolution” will once again be a key theme at this year’s Davos, where the focus will be on the problems created by technologies such as smart robots and driverless cars. The WEF will examine whether the loss to these innovations of millions of jobs is undermining social cohesion and contributing to the rise of populist parties.
Davos will also consider whether increased use of artificial intelligence and the “internet of things” are laying firms open to a new wave of cyberthreats and security beaches. This area of technology has until now been only lightly regulated; is the world ready to hand more decision-making powers to machines? Full article:
Eyeris Emotional AI and Face Analytics Technology Gains Momentum in Commercialization in the Automotive and Social Robot Markets
Steve Arar for All About Circuits: Humans use language to tap into the knowledge of others and learn skills faster. This helps us hone our intuition and go through our daily activities more efficiently. Inspired by this, Google Research, DeepMind (its UK artificial intelligence lab), and Google X have decided to allow their robots share their experiences. Sharing the learning process among multiple robots, the research team has considerably expedited general-purpose skill acquisition of robots.
Using an artificial neural network, we can teach a robot to achieve a goal by analyzing the result of its previous experiences. At first, the robot may seem to act randomly simply working based on trial and error. However, it examines the result of each trial and, if satisfactory, focuses on similar experiments during the next trials. Making a connection between each experience and the obtained result, the robot would be able to gradually make better choices. Cont'd...
Steve Arar for All About Circuits: Recently, Vijay Kumar’s lab at the University of Pennsylvania in cooperation with researchers from Qualcomm has unveiled a quadrotor which can fly aggressively through a window. You may think that you have seen similar robots before; however, there is a big difference between previously designed robots and this new technology.
Generally, to exhibit challenging maneuvers, a quadrotor depends on an array of cameras mounted on the walls and some external processors. The image captured by the cameras is processed and the outcome is delivered to the robot. The computer can issue precise commands and the only thing that the robot needs to do is to follow the orders. However, the new robot performs both the image capturing and processing onboard.
The quadrotor carries an IMU, a Qualcomm Snapdragon, and Hexagon DSP. With the onboard sensors and processors, the robot is able to perform localization, state estimation, and path planning autonomously. Cont'd...
Bruce Brown for DigitalTrends: It sounds like we can all take a breath and forget about robot attacks occurring — at least anytime soon. Robots turning against their makers is a common theme in science fiction. However, there’s “no cause for concern that AI poses an imminent threat to humanity,” according to Fast Company, citing the first report from the One Hundred Year Study on Artificial Intelligence (AI100).
The Stanford University-hosted project represents a standing committee of AI scientists. The AI100 project is ongoing but will not issue reports annually — the next one will be published “in a few years.” The first report, Artificial Intelligence and Life in 2030, downloadable at this link, looks at how advances in AI will make a difference in the U.S. between now and 2030. Areas of change explored by the report include transportation, healthcare, education, the workplace, and policing and public safety. Cont'd...
From AZoRobotics: As a result of a new machine learning algorithm formulated by engineering researchers Parham Aarabi (ECE) and Wenzhi Guo (ECE MASc 1T5) at University of Toronto, smartphones may soon be able to provide users with honest answers.
The researchers prepared an algorithm that was capable of learning directly from human instructions, instead of an existing set of examples, and surpassed conventional techniques of training neural networks by 160%.
But more astonishingly, their algorithm also surpassed its own training by 9% - it learned to identify hair in pictures with better reliability than that enabled by the training, signifying a major leap forward for artificial intelligence. Cont'd...
From James Charles, Derek Magee, David Hogg:
The objective of this work is to build virtual talking avatars of characters fully automatically from TV shows. From this unconstrained data, we show how to capture a character’s style of speech, visual appearance and language in an effort to construct an interactive avatar of the person and effectively immortalize them in a computational model. We make three contributions (i) a complete framework for producing a generative model of the audiovisual and language of characters from TV shows; (ii) a novel method for aligning transcripts to video using the audio; and (iii) a fast audio segmentation system for silencing nonspoken audio from TV shows. Our framework is demonstrated using all 236 episodes from the TV series Friends (≈ 97hrs of video) and shown to generate novel sentences as well as character specific speech and video... (full paper)
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