Abstract: Designing sparse arrays with fewer antenna elements and lower peak sidelobe level (PSLL) is critical and challenging for antenna arrays in terminal devices in Internet of Things (IoT) ...

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...

Abstract: In a sparse array, the holes in the corresponding difference co-array (DCA) limit the length of the consecutive subarray, which in turn reduces the number of achievable uniform degrees of ...

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 ...

Who sprayed Ilhan Omar? What was she sprayed with at town hall? What we know US health officials monitor deadly virus A Massive New Study Says This Is What Happens to People Who Drink Black Coffee ...

Near-field focused antenna arrays have emerged as a critical technology for optimising electromagnetic energy delivery and imaging. By finely controlling the phases and amplitudes of individual ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

I was wondering what your thoughts are for extending this to support sparse arrays? Scipy can perform the eigenvalue decomposition for sparse arrays and we could pass Jax BCOO or BCSR arrays to the ...

Instead of defining the types of underlying in-memory arrays, e.g. pointers_1_type and indices_0_type, consider defining the types of the in-memory sparse array as a whole. Consider the following spec ...