New research demonstrates the practical implementation of NIST-standardized post-quantum algorithms on severely resource-constrained ARM Cortex-M0+ microcontrollers used in many IoT devices.
A new generalization of backup control barrier functions allows for larger safe operating regions and online adaptation, improving the safety and performance of control systems with input limitations.
Researchers have demonstrated a system capable of bypassing YouTube’s defenses to automatically copy content to a blockchain-based decentralized storage network.
Researchers have developed a novel database system that prioritizes performance without sacrificing data security, offering a compelling alternative to traditional encryption-based methods.
A novel decomposition framework dramatically improves the efficiency of managing complex power grids with combined-cycle generators under uncertain conditions.
New research reveals how gravitational waves can coexist with scalar fields in modified gravity theories without distorting spacetime.
New research reveals how malicious data injected into knowledge sources can subtly manipulate the responses of AI systems powered by retrieval-augmented generation.
New research challenges the assumption that simply increasing the range of possible responses automatically improves data privacy in shuffle model settings.
![The system distills a raw stream of 6.27 million Ethereum transactions-initially filtered to identify potential Ethscriptions-down to a focused analytical set of 4.75 million ([latex]U\_2[/latex]), representing 75.8% of the initial candidates, through MIME classification, JSON validation, and grammatical parsing-a process that prioritizes data integrity and contextual relevance as the foundation for subsequent measurement.](https://arxiv.org/html/2603.19086v1/img/fig_methodology_v3_1.png)
A new empirical study reveals how seemingly inconsequential data embedded within Ethereum transactions-known as Ethscriptions-is reshaping the protocol’s economics and challenging core assumptions about data availability.
New research delves into the fascinating world of Sperner families and the phenomenon of ‘order shattering’, revealing key properties and characterizations.