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Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Frontiers
Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking,...
2 weeks ago
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors ...
Nature
Efficient and accurate algorithms are necessary to reconstruct particles in the highly granular detectors anticipated at the High-Luminosity...
2 months ago
Deep learning model overcomes the challenge of real-world measurements of isotope production target cooling systems
EurekAlert!
image: Abstract representation of subcooled flow boiling modeled on experimental data collected for the Los Alamos National Laboratory...
1 week ago
Artificial intelligence for improved fitting of trajectories of elementary particles in dense materials immersed in a ...
Nature
Particle track fitting is crucial for understanding particle kinematics. In this article, we use artificial intelligence algorithms to show...
13 months ago
The Future of Indoor Positioning: A Simplified Method Combining Two Technologies
Inside GNSS
Combining multipath assisted positioning and fingerprinting using deep learning brings the best of two worlds together: low complexity and...
19 months ago
Geometric deep learning reveals the spatiotemporal features of microscopic motion
Nature
The characterization of dynamical processes in living systems provides important clues for their mechanistic interpretation and link to...
17 months ago
Deep learning detection of nanoparticles and multiple object tracking of their dynamic evolution during in situ ETEM ...
Nature
In situ transmission electron microscopy (TEM) studies of dynamic events produce large quantities of data especially under the form of...
28 months ago
New machine learning-based automatic high-throughput video tracking system for assessing water toxicity using ...
Nature
Daphnia magna is an important organism in ecotoxicity studies because it is sensitive to toxic substances and easy to culture in laboratory...
16 months ago
Continuous biomarker monitoring with single molecule resolution by measuring free particle motion
Nature
There is a need for sensing technologies that can continuously monitor concentration levels of critical biomolecules in applications such as...
20 months ago