For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

Abstract: This study proposes a low-complexity, greedy-based scheduler for multiuser space–time line coded (MU-STLC) systems. The proposed scheduler selects one user that was unscheduled in the ...

Abstract: Optimization theory assisted algorithms have received great attention for precoding design in multiuser multiple-input multiple-output (MU-MIMO) systems. Although the resultant optimization ...

XAttention is a plug-and-play sparse attention framework for Transformers that speeds up long-context inference by up to 13.5× — without sacrificing accuracy. It introduces a lightweight metric based ...

Understanding how firms build their capabilities, such as managerial skills, technology adoption and innovation capacity, is ...

Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer ...

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

Investors kept pouring money into AI hardware startups in the second quarter of 2026. While companies focused on chips for AI data centers have largely dominated the funding over the past year, ...

Older patients represent the fastest growing patient group in clinical care. They are a heterogeneous group, for whom evidence for making treatment decisions is often scarce. Important domains for ...

Vector quantization, stock dips & RAMageddon – the real story behind how a memory compression algorithm went viral ...

Sparse matrices, which are common in scientific applications, are matrices in which most elements are zero. To save space and running time it is critical to only store the nonzero elements. A standard ...