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Making Sense of Your Sweat Data
While a lot of research has been directed at developing continuous sensing technologies, less effort has been directed to understanding the physiology of biofluid secretion.
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It's Elementary! Particle Collider Powered Up by AI
Scientists from HSE University and Yandex have developed a method that accelerates the simulation of processes at the Large Hadron Collider (LHC), using two neural networks that compete with each other during competitive training.
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Genetic Analysis at the Touch of a Button – Literally
Researchers have published a method to take genome analysis 'offline', by adapting a computer algorithm that can perform accurate analysis - with far less computer memory than current programs.
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How Big Will a Planet Grow Up to Be? Neural Networks Have the Answer
To find out how planets form astrophysicists run complicated and time-consuming computer calculations. Researchers have now developed a totally novel approach to speed up this process dramatically. They use deep learning based on artificial neural networks, a method that is well-known in image recognition.
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Machine Learning “Toolbox” for Protein Analysis
A novel machine learning "toolbox" that can read and analyse the sequences of proteins has been described. Researchers have shown that artificial neural networks called Restricted Boltzmann Machines (RBM) can provide a wealth of information on protein structure and evolutionary features.
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Immune System Profiling Offers Hope for Pediatric Arthritis Patients
After studying immune signatures, a machine learning algorithm has been developed that identifies children with juvenile arthritis with almost 90% accuracy from a simple blood test.
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The First Steps of a Learning Robot Limb
A team of researchers believe they have become the first to create an AI-controlled robotic limb driven by animal-like tendons that can be tripped up and then recover within the time of the next footfall, a task for which the robot was never explicitly programmed to do.
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Polyhedral Visualisation Software Drives Deeper Structural Chemistry Insights
Software updates provide a simple, intuitive option for scientists to visualize metal-organic structures using polyhedral representations, improving understanding of chemical structure and properties. This could significantly aid analysis, design and prediction of a metal-organic compound's behavior in materials development.
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The Unexplored Human Microbiome
A large number of previously uncharacterized bacteria living in and on humans has been discovered and analyzed by scientists
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Looking at Protein Interactions From the "Top"
Researchers have created a novel way to define individual protein associations in a quick, efficient, and informative way.
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