Abstract: In this work, we consider the challenging gridless direction-of-arrival (DOA) estimation problem with arbitrary sparse arrays. By utilizing the feature relationship between the received ...
Abstract: Sparse arrays designed based on fourth-order difference co-array (DCA) can achieve significantly higher uniform degrees-of-freedom (uDOFs). However, most existing fourth-order sparse arrays ...
NVIDIA integrates Universal Sparse Tensor into nvmath-python v0.9.0, boosting sparse deep learning and scientific computing with zero-cost PyTorch interoperability. Why it matters: Sparse data is a ...
Neutral-atom arrays are a rapidly emerging platform to create quantum computers. In a foundational study led by graduate students Aaron Holman and Yuan Xu from the Will and Yu labs, respectively, the ...
Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...
HackerRank is a pretty cool place to get better at coding. It’s got tons of challenges that really make you think and figure things out faster. Whether you’re just starting out or you’ve been coding ...
Quantifying stratigraphic uncertainty is crucial for reliable risk assessment and informed decision-making in geotechnical and geological engineering. However, accurately modeling complex stratigraphy ...
Ever wonder how some folks just seem to breeze through coding challenges and land those awesome tech jobs? A lot of it comes down to practice, and platforms like HackerRank are super helpful for that.
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