Abstract: Sparsification technology is crucial for deploying convolutional neural networks in resource-constrained environments. However, the efficiency of sparse models is hampered by irregular ...

DeepSeek updated an experimental AI model in what it called a step toward next-generation artificial intelligence. The secretive Chinese startup outlined the DeepSeek-V3.2-Exp platform, explaining it ...

A total of only 26 ballots were cast on the opening day of early voting at two polling stations in the Twin Counties in advance of the Oct. 7 election for four Rocky Mount City Council seats. As the ...

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You are free to share (copy and redistribute) this article in any medium or format within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must ...

The gameplay loop of Death Stranding isn’t just about walking, as you can build various structures that ease your trips. All the structures from the original game make a return in the sequel, and ...

Continuing with the success of Phases I and II of its Laconia 3D OBN multi-client seismic program in the US Gulf, Viridien has announced, in collaboration with partner TGS, the start of Laconia Phase ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Monica S. Aswani ([email protected]), University of Alabama at Birmingham, Birmingham, Alabama. Lauren A. Do, Boston University, Boston, Massachusetts. Paul R. Shafer, Boston University. The ...

Pre-trained LLMs require instruction tuning to align with human preferences. Still, the vast data collection and rapid model iteration often lead to oversaturation, making efficient data selection a ...