Researchers have developed a virtual reality keyboard that actively combats the growing threat of keystroke inference attacks, protecting sensitive login information in immersive environments.
New research suggests that subtle deviations from standard quantum mechanics may be detectable in the gravitational waves emitted as black holes settle down after a collision.
A new approach to sub-token routing optimizes transformer models by intelligently compressing key-value caches without sacrificing performance.
![The study demonstrates that solving time for determining the validity of [latex]q(\vec{a})[/latex] under X-AR/X-brave constraints-across datasets [latex]\mathsf{uXcY}[/latex] and varying priority relations-exhibits a clear distribution, with instances sorted by increasing solving time, and differing markedly between binary conflict cases ([latex]\mathsf{u1cY}[/latex] and [latex]\mathsf{u5cY}[/latex]) and non-binary conflict cases ([latex]\mathsf{u1cY}[/latex]).](https://arxiv.org/html/2604.21603v1/x3.png)
New research demonstrates how Answer Set Programming with Quantifiers (ASP(Q)) can effectively manage inconsistent, prioritized information within complex knowledge systems.
A new review explores how alternative statistical methods can improve parameter estimation in models like Markov chains, offering robustness without sacrificing precision.
A new 522-bit elliptic curve, ECCFROG522PP, is presented with a design focused on transparency and reproducible parameter generation.
![The energies associated with the extended Gaussian-Core Model (eGCM) align with the diagonal matrix elements representing the overlap between basis states [latex]\langle\overline{\Phi}\_{k}|\hat{\rm H}|\overline{\Phi}\_{k}\rangle[/latex], as indicated by the correspondence between the blue line and the red dashed line; further analysis of the eigenvalues [latex]\nu\_{k}[/latex] of these norm overlaps confirms a non-zero contribution beyond the trivial case [latex]\nu\_{k} \neq 0[/latex].](https://arxiv.org/html/2604.21845v1/x2.png)
New theoretical work reveals a surprisingly stable, long-lived intermediate state in nuclear reactions, challenging existing models of how atomic nuclei exchange particles.
Developing robust security for industrial control systems requires more than just applying conventional methods, and this review highlights the significant hurdles in achieving truly holistic intrusion detection.
A new class of denial-of-service attacks targets multi-round block builders by leveraging the inherent dependencies between transactions.
This review details a new algorithm for training machine learning models across networks while protecting sensitive data.