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Categories: Computer Science: Encryption, Engineering: Robotics Research

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A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains the robot faster and better than other approaches.

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Researchers taught an autonomous excavator to construct dry stone walls itself using boulders weighing several tons and demolition debris.

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Tandem solar cells based on perovskite semiconductors convert sunlight to electricity more efficiently than conventional silicon solar cells. In order to make this technology ready for the market, further improvements with regard to stability and manufacturing processes are required. Researchers have succeeded in finding a way to predict the quality of the perovskite layers and consequently that of the resulting solar cells: Assisted by Machine Learning and new methods in Artificial Intelligence (AI), it is possible assess their quality from variations in light emission already in the manufacturing process.

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Using 700 years' worth of wave data from more than a billion waves, scientists have used artificial intelligence to find a formula for how to predict the occurrence of these maritime monsters. Long considered myth, freakishly large rogue waves are very real and can split apart ships and even damage oil rigs.

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A novel technology to manage demands on mobile networks from multiple users using Terahertz frequencies has been developed by computer scientists.

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Engineers investigating the load-bearing capacity of conical shells, made from soft materials, have discovered performance-limiting weaknesses that could have implications for soft robotics -- affecting the ability of morphing cones to perform fundamental mechanical tasks.

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Stroke is a leading cause of long-term disability worldwide. Each year more than 15 million people worldwide have strokes, and three-quarters of stroke survivors will experience impairment, weakness and paralysis in their arms and hands. Many stroke survivors rely on their stronger arm to complete daily tasks, from carrying groceries to combing their hair, even when the weaker arm has the potential to improve.

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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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Engineers have developed a high-throughput, multimaterial 3D inkjet printer that uses computer vision to rapidly and automatically control the amount of material being deposited during the printing process in real time. This enables the use of a wide range of materials for fabrication.

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18 percent of reported sick leave relates to musculoskeletal ailments, in particular back-related disorders. The GyroTrainer is an intelligent training device that resembles a balance board. It uses artificial intelligence to adjust the difficulty level to the individual patient's current ability.

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Distributed cloud storage is a hot topic for security researchers, and a team is now merging quantum physics with mature cryptography and storage techniques to achieve a cost-effective cloud storage solution.

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Engineers developed a technique to quickly identify a range of potential failures in a system before they are deployed in the real world.

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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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Under the ocean's surface, marine organisms are constantly releasing invisible molecules. Some of the chemical clues reveal which creatures are nearby, while others could be used someday as medications. Now, researchers report a proof-of-concept device that 'sniffs' seawater, trapping dissolved compounds for analyses. The team showed that the system could easily concentrate molecules that are present in underwater caves and holds promise for drug discovery in fragile ecosystems, including coral reefs.

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Researchers have developed an automated laboratory robot to run complex electrochemical experiments and analyze data. The Electrolab will be used to explore next-generation energy storage materials and chemical reactions that promote alternative and sustainable energy.

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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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Researchers have made significant strides in biomaterial technology and rehabilitation medicine. They've developed a novel approach to healing muscle injury by employing 'injectable tissue prosthesis' in the form of conductive hydrogels and combining it with a robot-assisted rehabilitation system.

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SecureLoop is a new search engine that can identify an optimal design for a deep neural network accelerator that preserves data security while improving energy efficiency and boosting performance. This could enable device manufacturers to increase the speed of demanding AI applications, while ensuring sensitive data remain safe from attackers.

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To quickly and accurately characterize prospective materials for use in solar energy, researchers built an automated system to perform laboratory experiments and used machine learning to help analyze the data they recorded. Their goal is to identify semiconductor materials for use in photovoltaic solar energy, which are highly efficient and have low toxicity.

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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.