A new framework, Rogue Variable Theory, explores how quantum-inspired mathematics can represent ambiguous pre-event cognitive states, offering a path towards more interpretable and aligned artificial intelligence.
![The system optimizes semantic communication by assigning repetition counts to quantized embeddings-guided by a policy [latex]\pi_{\theta}[/latex]-to minimize semantic distortion [latex]D_{S}[/latex] while adhering to a predetermined channel-use budget [latex]B[/latex].](https://arxiv.org/html/2601.00186v1/x1.png)
A new reinforcement learning approach intelligently prioritizes the most vital parts of data embeddings, ensuring reliable communication even with limited bandwidth.
New latch-free techniques dramatically reduce thread contention and improve performance in key-value stores by enabling highly concurrent access to B-tree indexes.
A novel authenticated encryption framework, Diamond, offers enhanced security and efficiency for resource-constrained Internet of Things devices.
A new graph-based approach guarantees the safety of control systems even when faced with communication or computational failures.
This review explores the properties of burst-covering codes, a powerful technique for correcting concentrated data errors.
A new approach to error correction promises to significantly improve the dependability of STT-MRAM cache memory.
Researchers have identified and mitigated a hidden failure mechanism in STT-MRAM caches caused by accumulating read disturbances, offering a path to significantly improved data retention.
A new analysis reveals critical vulnerabilities in the widely used RAFT consensus algorithm, demonstrating its susceptibility to malicious attacks.
A new review delves into the mathematical properties of quantum polylogarithms, revealing their intricate connections to classical multiple polylogarithms.