It stands to reason that if you have access to an LLM’s training data, you can influence what’s coming out the other end of ...

Abstract: This paper investigates the event-triggered consensus of linear multiagent systems with periodic data sampling mechanisms, where random packet losses are taken into account. The random ...

Abstract: Random number generation is essential for applications in simulation, numerical analysis, and data encryption. The ubiquitous presence of system-on-chip (SoC) field-programmable gate array ...

From machine learning to voting, the workings of the world demand randomisation, but true sources of randomness are ...