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Categories: Offbeat: Computers and Math

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     (via sciencedaily.com)     Original source 

Engineers have come up with a new way to teach robots to know when they don't know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty -- and triggers the robot to ask for clarification.

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Researchers create transistors combining silicon with biological silk, using common microprocessor manufacturing methods. The silk protein can be easily modified with other chemical and biological molecules to change its properties, leading to circuits that respond to biology and the environment.

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Hopfions, magnetic spin structures predicted decades ago, have become a hot and challenging research topic in recent years. New findings open up new fields in experimental physics: identifying other crystals in which hopfions are stable, studying how hopfions interact with electric and spin currents, hopfion dynamics, and more.

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When researchers asked hundreds of people to watch other people shake boxes, it took just seconds for almost all of them to figure out what the shaking was for. The deceptively simple work by perception researchers is the first to demonstrate that people can tell what others are trying to learn just by watching their actions. The study reveals a key yet neglected aspect of human cognition, and one with implications for artificial intelligence. 'Just by looking at how someone's body is moving, you can tell what they are trying to learn about their environment,' said author Chaz Firestone, an assistant professor of psychological and brain sciences who investigates how vision and thought interact. 'We do this all the time, but there has been very little research on it.'

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Scientists have shown that placing physical constraints on an artificially-intelligent system -- in much the same way that the human brain has to develop and operate within physical and biological constraints -- allows it to develop features of the brains of complex organisms in order to solve tasks.

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From heart beats to stomach gurgles, sounds hold important health information. New wireless devices sit on skin to continuously capture these sounds, then stream data to smartphones or tablets in real time. In pilot studies, devices accurately tracked sounds associated with cardiorespiratory function, gastrointestinal activity, swallowing and respiration. The devices are particularly valuable for premature babies, who can experience apneas and gastrointestinal complications, which are accompanied by sounds.

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A team of researchers has developed a computer program that creates realistic videos that reflect the facial expressions and head movements of the person speaking, only requiring an audio clip and a face photo.   DIverse yet Realistic Facial Animations, or DIRFA, is an artificial intelligence-based program that takes audio and a photo and produces a 3D video showing the person demonstrating realistic and consistent facial animations synchronised with the spoken audio (see videos).

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For the first time, researchers have succeeded in printing a robotic hand with bones, ligaments and tendons made of different polymers using a new laser scanning technique. The new technology makes it possible to 3D print special plastics with elastic qualities in one go. This opens up completely new possibilities for the production of soft robotic structures.

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The discovery of the phantom touch illusion provides insights into human perception and opens up new perspectives for interaction with virtual reality technology.

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In the same way that chatbots sometimes 'hallucinate,' or make things up, machine learning models designed for scientific applications can sometimes present misleading or downright false results. Researchers now present a new statistical technique for safely using AI predictions to test scientific hypotheses.

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Researchers have developed deep-learning algorithms that let users pick which sounds filter through their headphones in real time. Either through voice commands or a smartphone app, headphone wearers can select which sounds they want to include from 20 classes, such as sirens, baby cries, speech, vacuum cleaners and bird chirps.

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A research team used 125 physical markers to understand the detailed mechanics of 44 different human facial motions. The aim was to better understand how to convey emotions with artificial faces. Beyond helping with the design of robots and androids, this research can also benefit computer graphics, facial recognition, and medical diagnoses.

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Researchers have developed a virtual reality application where a range of 3D modelling tools can be opened and controlled using just the movement of a user's hand.

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Scientists believe they may have discovered a way to rework the hardware of AI. By mimicking the synapses of the human brain.

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Researchers have used fossil evidence to engineer a soft robotic replica of pleurocystitids, a marine organism that existed nearly 450 million years ago and is believed to be one of the first echinoderms capable of movement using a muscular stem.

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With the AI summit well underway, researchers are keen to raise the very real problem associated with the technology -- teaching it how to forget.

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Researchers combined physics and machine learning to develop a new 3D-printing technique that can quickly create complex physical patterns -- including replicating a segment of a Pollock painting -- by leveraging the same natural fluid instability that Pollock used in his work.

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Researchers have developed a souped-up telepresence robot that responds automatically and in real-time to a remote user's movements and gestures made in virtual reality.

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Smart, stretchable and highly sensitive, a new soft sensor opens the door to a wide range of applications in robotics and prosthetics. When applied to the surface of a prosthetic arm or a robotic limb, the sensor skin provides touch sensitivity and dexterity, enabling tasks that can be difficult for machines such as picking up a piece of soft fruit. The sensor is also soft to the touch, like human skin, which helps make human interactions safer and more lifelike. 

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A new study provides evidence that pigeons tackle some problems just as artificial intelligence would -- allowing them to solve difficult tasks that would vex humans.