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Categories: Engineering: Robotics Research, Mathematics: Modeling
Published The brain may learn about the world the same way some computational models do
(via sciencedaily.com) Original source New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.
Published How robots can help find the solar energy of the future
(via sciencedaily.com) Original source 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.
Published AI can alert urban planners and policymakers to cities' decay
(via sciencedaily.com) Original source As urbanization advances around the globe, the quality of the urban physical environment will become increasingly critical to human well-being and to sustainable development initiatives. However, measuring and tracking the quality of an urban environment, its evolution and its spatial disparities is difficult due to the amount of on-the-ground data needed to capture these patterns.
Published Robot stand-in mimics movements in VR
(via sciencedaily.com) Original source 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.
Published Energy-saving AI chip
(via sciencedaily.com) Original source A computer scientist has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. The researcher applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.
Published Engineers develop breakthrough 'robot skin'
(via sciencedaily.com) Original source 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.
Published A new era for accurate, rapid COVID-19 testing
(via sciencedaily.com) Original source Researchers demonstrate a nanopore-based technique that can detect different variants of SARS-CoV-2, the virus that causes COVID-19. The method was very effective in detecting the Omicron variant of the virus in the saliva of people with COVID-19.
Published Single model predicts trends in employment, microbiomes, forests
(via sciencedaily.com) Original source Researchers report that a single, simplified model can predict population fluctuations in three unrelated realms: urban employment, human gut microbiomes and tropical forests. The model will help economists, ecologists, public health authorities and others predict and respond to variability in multiple domains.
Published Plant-based materials give 'life' to tiny soft robots
(via sciencedaily.com) Original source A team of researchers has created smart, advanced materials that will be the building blocks for a future generation of soft medical microrobots. These tiny robots have the potential to conduct medical procedures, such as biopsy, and cell and tissue transport, in a minimally invasive fashion.
Published To excel at engineering design, generative AI must learn to innovate, study finds
(via sciencedaily.com) Original source A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The researchers say if mechanical engineers want help from AI for novel ideas and designs, they'll have to refocus those models beyond 'statistical similarity.'
Published International team develops novel DNA nano engine
(via sciencedaily.com) Original source An international team of scientists has recently developed a novel type of nano engine made of DNA. It is driven by a clever mechanism and can perform pulsing movements. The researchers are now planning to fit it with a coupling and install it as a drive in complex nano machines.
Published Physical theory improves protein folding prediction
(via sciencedaily.com) Original source Proteins are important molecules that perform a variety of functions essential to life. To function properly, many proteins must fold into specific structures. However, the way proteins fold into specific structures is still largely unknown. Researchers have developed a novel physical theory that can accurately predict how proteins fold. Their model can predict things previous models cannot. Improved knowledge of protein folding could offer huge benefits to medical research, as well as to various industrial processes.
Published Robotic prosthetic ankles improve 'natural' movement, stability
(via sciencedaily.com) Original source Robotic prosthetic ankles that are controlled by nerve impulses allow amputees to move more 'naturally,' improving their stability, according to a new study.
Published Choosing exoskeleton settings like a radio station
(via sciencedaily.com) Original source Taking inspiration from music streaming services, a team of engineers has designed the simplest way for users to program their own exoskeleton assistance settings.
Published Deep neural networks don't see the world the way we do
(via sciencedaily.com) Original source Computational models of hearing and vision can build up their own idiosyncratic 'invariances' -- meaning they respond the same way to stimuli with very different features, according to scientists.
Published Forensic evidence can survive underwater for weeks
(via sciencedaily.com) Original source Forensic fibers can survive underwater for much longer than previously thought -- which could help criminal investigators uncover vital evidence. New research has found that fiber evidence can survive on fabrics underwater for several weeks.
Published New organ-on-a-chip model of human synovium could accelerate development of treatments for arthritis
(via sciencedaily.com) Original source The synovium is a membrane-like structure that lines the knee joint and helps to keep the joint happy and healthy, mainly by producing and maintaining synovial fluid. Inflammation of this tissue is implicated in the onset and progression of arthritic diseases such as rheumatoid and osteoarthritis. Therefore, treatments that target the synovium are promising in treating these diseases. However, we need better models in the laboratory that allow us to find and test new treatments. We have developed an organ-on-a-chip based model of the human synovium, and its associated vasculature, to address this need.
Published New cyber algorithm shuts down malicious robotic attack
(via sciencedaily.com) Original source Researchers have designed an algorithm that can intercept a man-in-the-middle (MitM) cyberattack on an unmanned military robot and shut it down in seconds. The algorithm, tested in real time, achieved a 99% success rate.
Published A step towards AI-based precision medicine
(via sciencedaily.com) Original source Artificial intelligence, AI, which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers have developed an AI-based method applicable to various medical and biological issues. Their models can for instance accurately estimate people's chronological age and determine whether they have been smokers or not.
Published Unifying matter, energy and consciousness
(via sciencedaily.com) Original source Understanding the interplay between consciousness, energy and matter could bring important insights to our fundamental understanding of reality.