Learning
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Other Sciences
Using machine learning, research develops models and predicts high -risk gandelers.
Credit: Pixabay/CC0 Public domain Federal -approved firearm dealers are important targets for restrictions and execution efforts aimed at reducing the supply of firearms to bypassing illegal markets, but measure the degree of dealers involved in illegal shifting firearms. It is difficult to do. In a new study using machine learning, researchers have examined firearm transactions and criminal gun collection records…
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Nanotechnology
Machine learning and 3D printing produce strong foaming materials of steel.
From left to right: A complete grid -shaped image is lined up with 1875 million cells floating in the bubble. Credit: Peter Cells /Toronta University Engineering Researchers at the University of Toronto University Applied Science & Engineering have designed a nano -amterior material with light Styrofoam’s strength using machine learning. A new paper published in the Advanced Materials explains how…
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Physics
Scientists use machine learning to develop molecular can opener
Credit: American Physical Society In an era of medicine that strives for more targeted drug therapies, more individualized therapies, and more effective treatments, doctors and scientists want to introduce molecules into biological systems that can perform specific actions. Masu. Examples include gene therapy and drug delivery, which need to be effective and inexpensive for widespread use. To achieve this goal,…
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Nanotechnology
Machine learning and supercomputer simulations predict interactions between gold nanoparticles and blood proteins
Cover image of Bioconjugate Chemistry October 2024 issue. Tunable ligand-protected gold as a drug delivery system with high affinity for integrin αvβ3, a key regulator of adhesion and signaling in various biological processes that play important roles in cancer. Showing nanoclusters. Progress. Credit: MarÃa Francisca Matus, University of Jyväskylä. Researchers at the Center for Nanoscience at the University of Jyväskylä…
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Physics
Tuning accelerators using machine learning
A computer-generated image based on the production-diffusion process shows a 2D projection of a particle accelerator beam. Starting with pure noise, signals from the accelerator guide the process adaptively. As a result, each version is a little easier to understand. Credit: Alexander Scheinker, Los Alamos National Laboratory Computer screens are stacked two and three high along the walls. The screen…
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Nanotechnology
Deep learning streamlines 2D material identification
Illustration of the DDPM-based data augmentation and classification framework for Raman spectra of 2D materials. Credit: Applied Materials Today (2024). DOI: 10.1016/j.apmt.2024.102499 Researchers have developed a deep learning-based approach that greatly streamlines the accurate identification and classification of two-dimensional (2D) materials using Raman spectroscopy. In comparison, traditional Raman analysis methods are time-consuming and require manual and subjective interpretation. This new…
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Biology
Deep learning improves the accuracy and efficiency of protein structure prediction
Overview of traditional and modern deep learning methods for protein structure prediction. Credit: MedComm – Future of Medicine (2024). DOI: 10.1002/mef2.96 A review exploring the transformative role of deep learning techniques in revolutionizing protein structure prediction in the rapidly evolving field of computational biology. The review, published in MedComm—Future Medicine, was led by Dr. Xi Yu and Dr. Tian Zhong…
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Chemistry
Machine learning solves protein folding problem and wins 2024 Nobel Prize in Chemistry
The 2024 Nobel Prize in Chemistry will be awarded to Demis Hassabis and John Jumper for using machine learning to tackle one of biology’s biggest challenges: predicting the 3D shape of proteins and designing them from scratch. , honored David Baker. This year’s awards were notable because they celebrated research originating from technology companies, namely DeepMind, an AI research startup…
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Earth
Machine learning could improve extreme weather warnings
In June 2021, the U.S. Pacific Northwest and southwestern Canada experienced a significant heatwave, with temperatures reaching 43°C (109°F) in Portland, Oregon. New weather forecasting approaches based on machine learning can more accurately predict such phenomena and improve lead times. Credit: Contains modified Copernicus Sentinel data (2021) processed by the European Space Agency. CC BY-SA 3.0 IGO Traditional weather forecasts…
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Other Sciences
Learning mindset may be key to addressing alarming medical student burnout
Standardized regression coefficients for the association between learning mindsets and outcomes. Source: JAMA Network Open (2024). DOI: 10.1001/jamanetworkopen.2024.18090 Overall, Matthew Barnett’s medical school experience has been great, but the fourth-year medical student at A.T. Still University Kirksville School of Osteopathic Medicine knows his experience may not be the same for all medical students. “We recognize that this can be extremely…
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