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Categories: Engineering: Robotics Research, Mathematics: Modeling
Published Care robots: Ethical perceptions and acceptance
(via sciencedaily.com) The global population of people older than 65 years of age is rapidly increasing the need for care. Although care robots are a promising solution to fill in for caregivers, their social implementation has been slow and unsatisfactory. A team of international researchers has now developed the first universal model that can be employed across cultural contexts to explain how ethical perceptions affect the willingness to use care robots.
Published AI helps robots manipulate objects with their whole bodies
(via sciencedaily.com) A new AI technique enables a robot to develop complex plans for manipulating an object using its entire hand, not just fingertips. This model can generate effective plans in about a minute using a standard laptop.
Published New framework for oceanographic research provides potential for broader access to deep sea scientific exploration
(via sciencedaily.com) Scientific exploration of the deep ocean has largely remained inaccessible to most people because of barriers to access due to infrastructure, training, and physical ability requirements for at-sea oceanographic research.
Published New dual-arm robot achieves bimanual tasks by learning from simulation
(via sciencedaily.com) An innovative bimanual robot displays tactile sensitivity close to human-level dexterity using AI to inform its actions.
Published Advancing trajectory tracking control of pneumatic artificial muscle-based systems
(via sciencedaily.com) Pneumatic artificial muscles (PAMs) are artificial devices that can simulate the mechanics of human muscles, and have shown great promise in industries requiring human-robot interaction systems. Despite their potential, controlling the trajectory performance of PAM-based systems is challenging owing to their nonlinear characteristics. Now, researchers have developed a novel adaptive sliding mode controller that uses fuzzy logic to estimate PAM-based system's parameters, promising enhanced tracking accuracy and adaptability compared to traditional control methods.
Published AI models are powerful, but are they biologically plausible?
(via sciencedaily.com) Researchers hypothesize that a powerful type of AI model known as a transformer could be implemented in the brain through networks of neuron and astrocyte cells. The work could offer insights into how the brain works and help scientists understand why transformers are so effective at machine-learning tasks.
Published Researchers use mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy
(via sciencedaily.com) Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient outcomes.
Published Brain recordings capture musicality of speech -- with help from Pink Floyd
(via sciencedaily.com) For those with neurological or developmental disorders compromising speech, brain machine interfaces could help them communicate. But today's interfaces are slow and, from electrodes placed on the scalp, can detect letters only. The speech generated is robotic and affectless. Neuroscientists have now shown that they can reconstruct the song a person is hearing from brain recordings alone, holding out the possibility of reconstructing not only words but the musicality of speech, which also conveys meaning.
Published Robotic exoskeletons and neurorehabilitation for acquired brain injury: Determining the potential for recovery of overground walking
(via sciencedaily.com) Developing a framework for future research requires a comprehensive approach based on diagnosis, stage of recovery, and domain.
Published Distribution of genetic information during bacterial cell division
(via sciencedaily.com) A mathematical model provides new insights into the distribution of genetic information during bacterial cell division
Published Artificial intelligence designs advanced materials
(via sciencedaily.com) Scientists pioneer a new machine learning model for corrosion-resistant alloy design.
Published Tool finds bias in state-of-the-art generative AI model
(via sciencedaily.com) Researchers introduce a new tool to measure bias in text-to-image AI generation models, which they have used to quantify bias in the state-of-the-art model Stable Diffusion.
Published Turning ChatGPT into a 'chemistry assistant'
(via sciencedaily.com) Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study, a team prompted a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a model to predict experimental results.
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization
(via sciencedaily.com) Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
Published Self-supervised AI learns physics to reconstruct microscopic images from holograms
(via sciencedaily.com) Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.
Published Discovery in nanomachines within living organisms -- cytochromes P450 (CYP450s) unleashed as living soft robots
(via sciencedaily.com) Original source A new study suggests that Cytochromes P450 (CYP450s) enzymes can sense and respond to stimuli, acting like soft robots in living systems.
Published Modified virtual reality tech can measure brain activity
(via sciencedaily.com) The research team at The University of Texas at Austin created a noninvasive electroencephalogram (EEG) sensor that they installed in a Meta VR headset that can be worn comfortably for long periods. The EEG measures the brain's electrical activity during the immersive VR interactions.
Published How good is that AI-penned radiology report?
(via sciencedaily.com) New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them.
Published Deep learning for new protein design
(via sciencedaily.com) Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates verified in the lab for binding a designed protein with its target protein. The results will help scientists design better drugs against diseases like cancer and COVID-19.
Published New photocatalytic system converts carbon dioxide to valuable fuel more efficiently than natural photosynthesis
(via sciencedaily.com) A research team recently developed a stable artificial photocatalytic system that is more efficient than natural photosynthesis. The new system mimics a natural chloroplast to convert carbon dioxide in water into methane, a valuable fuel, very efficiently using light. This is a promising discovery, which could contribute to the goal of carbon neutrality.