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Categories: Engineering: Robotics Research, Mathematics: Modeling
Published Building bionic jellyfish for ocean exploration
(via sciencedaily.com) Original source Researchers show how biohybrid robots based on jellyfish could be used to gather climate science data from deep in the Earth's oceans.
Published New AI model could streamline operations in a robotic warehouse
(via sciencedaily.com) Original source Researchers applied deep-learning approaches from vehicle routing to streamline planning trajectories for robots in an e-commerce warehouse. Their method breaks the problem down into smaller chunks and then predicts the best chunks to solve with traditional algorithms.
Published First metamaterial developed to enable real-time shape and property control
(via sciencedaily.com) Original source Engineers have unveiled an encodable multifunctional material that can dynamically tune its shape and mechanical properties in real time.
Published What math tells us about social dilemmas
(via sciencedaily.com) Original source Human coexistence depends on cooperation. Individuals have different motivations and reasons to collaborate, resulting in social dilemmas, such as the well-known prisoner's dilemma. Scientists now present a new mathematical principle that helps to understand the cooperation of individuals with different characteristics.
Published Improving efficiency, reliability of AI medical summarization tools
(via sciencedaily.com) Original source Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic health records and simplifying medical text for insurance claims processing. While the practice is intended to create efficiencies, it can be labor-intensive, according researchers who created a new method to streamline the way AI creates these summaries, efficiently producing more reliable results.
Published Method identified to double computer processing speeds
(via sciencedaily.com) Original source Scientists introduce what they call 'simultaneous and heterogeneous multithreading' or SHMT. This system doubles computer processing speeds with existing hardware by simultaneously using graphics processing units (GPUs), hardware accelerators for artificial intelligence (AI) and machine learning (ML), or digital signal processing units to process information.
Published Plasma scientists develop computer programs that could reduce the cost of microchips and stimulate American manufacturing
(via sciencedaily.com) Original source Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes. Now, scientists are developing computer simulation codes that will outperform current simulation techniques and aid the production of microchips using plasma, the electrically charged state of matter also used in fusion research. These codes could help increase the efficiency of the manufacturing process and potentially stimulate the renaissance of the chip industry in the United States.
Published Accelerating the discovery of single-molecule magnets with deep learning
(via sciencedaily.com) Original source Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made solely based on the crystal structures of these metal complexes, thus eliminating the need for time-consuming experiments and complex simulations. As a result, this method is expected to accelerate the development of functional materials, especially for high-density memory and quantum computing devices.
Published Study identifies distinct brain organization patterns in women and men
(via sciencedaily.com) Original source Researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains.
Published New chip opens door to AI computing at light speed
(via sciencedaily.com) Original source Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.
Published Treating liver cancer with microrobots piloted by a magnetic field
(via sciencedaily.com) Original source Researchers have developed a novel approach to treat liver tumors using magnet-guided microrobots in an MRI device.
Published How ancient sea creatures can inform soft robotics
(via sciencedaily.com) Original source Fossils of a marine animal that lived 500 million years ago, combined with computer simulations, informed the design of a new soft robot.
Published Why insects navigate more efficiently than robots
(via sciencedaily.com) Original source Engineers have studied how insects navigate, for the purpose of developing energy-efficient robots.
Published Innovations in depth from focus/defocus pave the way to more capable computer vision systems
(via sciencedaily.com) Original source In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, model-based methods fail when texture-less surfaces are present, and learning-based methods require the same camera settings during training and testing. Now, researchers have come up with an innovative strategy for depth estimation that combines the best of both the worlds to solve these limitations, extending the applicability of depth from focus/defocus.
Published Making AI a partner in neuroscientific discovery
(via sciencedaily.com) Original source The past year has seen major advances in Large Language Models (LLMs) such as ChatGPT. The ability of these models to interpret and produce human text sources (and other sequence data) has implications for people in many areas of human activity. A new perspective paper argues that like many professionals, neuroscientists can either benefit from partnering with these powerful tools or risk being left behind.
Published A machine learning framework that encodes images like a retina
(via sciencedaily.com) Original source Researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.
Published 3D printed nanocellulose upscaled for green architectural applications
(via sciencedaily.com) Original source For the first time, a hydrogel material made of nanocellulose and algae has been tested as an alternative, greener architectural material. The study shows how the abundant sustainable material can be 3D printed into a wide array of architectural components, using much less energy than conventional construction methods.
Published GPT-3 transforms chemical research
(via sciencedaily.com) Original source Scientists demonstrate how GPT-3 can transform chemical analysis, making it faster and more user-friendly.
Published One person can supervise 'swarm' of 100 unmanned autonomous vehicles
(via sciencedaily.com) Original source Research involving has shown that a 'swarm' of more than 100 autonomous ground and aerial robots can be supervised by one person without subjecting the individual to an undue workload.
Published Promising heart drugs ID'd by cutting-edge combo of machine learning, human learning
(via sciencedaily.com) Original source Scientists have developed a new approach to machine learning -- a form of artificial intelligence -- to identify drugs that help minimize harmful scarring after a heart attack or other injuries.