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AI Technique “Decodes” Microscope Images, Overcoming Fundamental Limit
Atomic force microscopy, or AFM, is a widely used technique that can quantitatively map material surfaces in three dimensions, but its accuracy is limited by the size of the microscope’s probe. A new AI technique overcomes this limitation.
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AI Learns and Predicts User Behaviors
Researchers have created an open-source platform known as A-SOiD that can learn and predict user-defined behaviors, just from video.
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Model Identifies Potential Drug Combinations To Avoid
A new model has been designed to identify drugs that should not be prescribed together. It has already identified common drugs – an antibiotic and a blood thinner – that may interfere with each other.
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Deep Learning Model Can Predict Single-Molecule Magnets
The method identifies magnetic materials solely based on their crystal structure, eliminating the need for time-consuming experiments and simulations.
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Researchers Catalogue Ocean Viruses That Can Capture Carbon
By combining genomic sequencing data with AI analysis, researchers are zeroing in on the ocean viruses that can capture carbon and help combat climate change.
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AI Identifies New Materials for Carbon Capture
Generative AI, machine learning and simulations have been used to identify environmentally friendly metal-organic frameworks that can selectively absorb carbon dioxide.
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AI Finds 15% of Americans Are Climate Change Deniers
Using social media data and artificial intelligence in a comprehensive national assessment, a new University of Michigan study reveals that nearly 15% of Americans deny that climate change is real.
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AI Tool Can Predict the Role of Unknown Proteins
Powered by logic and large language models, DeepGO-SE predicts the biological role of proteins and could be used to aid drug discovery.
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First Successful Use of a Neural Prosthetic Device To Recall Memories
Do you struggle to remember whether you turned off the stove? A neural prosthetic device can learn a person's memory patterns to help the brain recall memories.
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Machine Learning Tackles Issue of Large Data Variations in Metabolomics
The method reduces differences, often seen between data from different sample sets, that have long hindered progress in the field.
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