Abstract: It has been demonstrated that fast convolutional sparse dictionary learning (FCSDL) is a useful instrument for diagnosing rolling bearing faults and can recover rolling bearing fault shocks ...
Wu Yi, head of the AReaL project. Photo source: Wu Yi. His work on reinforcement learning and embodied agents is part research, part startup, and all about learning by doing. Whether in academic ...
Dictionary.com has crowned a set of numbers as its 2025 word of the year. It says it reserves that distinction for a word that reflects "social trends and global events that defined that year" and ...
For teachers, the numbers six and seven have suddenly taken on a new—and dreaded—significance this school year. From French class to gym class, students are frequently saying (or shouting) “six-seven” ...
What if the most profound leap toward Artificial General Intelligence (AGI) wasn’t a headline-grabbing announcement, but a quiet breakthrough flying under the radar? Enter Grok 5, a development that ...
Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Abstract: The fault vibration signal of rotating machinery is usually a mixture of impulses, harmonics, and noise. How to effectively extract the repetitive impulse signals is a key issue in machinery ...
Donald Trump hit by legal roadblock Pearls Before Swine by Stephan Pastis Taxes on Social Security benefits were not eliminated despite what you've heard This U.S. Airport Will Take You the Longest to ...
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