Every day, dozens of human "data collectors" repeat each activity hundreds of times to train Tesla's Optimus robots.
Researchers at CERN may be on the verge of explaining the universe’s missing gamma rays and hidden magnetic fields.
The results add to physicists’ understanding of neutrinos and validate collaboration between major experiments.
Around the world, research is advancing to efficiently confine fusion plasma and harness its immense energy for power ...
File "/usr/local/python3.10.14/lib/python3.10/site-packages/sentence_transformers/cross_encoder/init.py", line 5, in from .trainer import CrossEncoderTrainer File ...
Discover the fascinating chemistry behind metal-ammonia solutions and the solvated electrons that create an intense blue color. This video explains the physics, historical experiments, and modern ...
Abstract: Full waveform inversion (FWI) can produce high-resolution subsurface parameter models. However, due to its limitations in data acquisition, the observed data often lacks low-frequency ...
UAV Simulation Lab — an advanced drone flight environment for testing UAV control, navigation, and AI algorithms with real-time physics and sensor simulation.. It combines advanced physics simulation, ...
Abstract: In this paper, an enhanced physics-informed neural network (PINN) framework is proposed for accurate time-domain electromagnetic field computation in power transformers. To address the ...
A team at the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, has developed a framework for standardizing alerts generated by cybersecurity systems defending critical ...
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