Researchers have developed a system that uses the power of artificial intelligence to automatically repair compilation errors in the complex world of embedded system development.
A new quantization technique dynamically adjusts model precision token-by-token, offering significant speedups and efficiency gains for large language models.
New research illuminates the intricate relationship between quantum wreath products and $p$-adic general linear groups, offering a powerful framework for understanding their representations.
![The study explores interactions involving a virtual tachyon φ, detailing how its exchange with fermions generates a long-range oscillating potential that disrupts Lorentz invariance, its capacity to mix with the Higgs boson, and the resulting mixed quartic interaction [latex]\phi^{2}h^{2}[/latex].](https://arxiv.org/html/2602.20474v1/x2.png)
A new analysis rigorously demonstrates the impossibility of building a consistent quantum field theory incorporating virtual particles that travel faster than light.
This review examines the latest innovations in SYCL compiler implementations and their impact on performance and portability across diverse hardware platforms.
Researchers have developed improved methods for reconstructing polynomials represented by complex arithmetic circuits, offering potential benefits for circuit verification and lower bound proofs.
New research establishes a fundamental barrier to shortening the codewords of 2-query relaxed locally decodable codes, revealing a significant jump in complexity compared to traditional error correction schemes.
A novel system proposes empowering patients with greater control over their electronic health records through decentralized technology.
A new processor design, CryptRISC, integrates cryptographic acceleration with advanced masking techniques to deliver robust security against side-channel attacks.
![Spatial-keyword queries, encompassing both range and [latex]22NN[/latex] approaches, demonstrate versatile application across diverse scenarios, highlighting the adaptability of these methods in information retrieval systems.](https://arxiv.org/html/2602.20952v1/x1.png)
A new framework efficiently unlocks secure searches over sensitive geo-textual data, balancing privacy with performance.