This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

We describe a probabilistic ... technique called sequential linear programming that is extensively applied and studied in various engineering problems. In comparison to related solutions on attack ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

Generative AI may dominate headlines, but Harris insists that traditional, deterministic models still drive most profits. “Large language models are marvellous, but they don’t issue a mortgage ...

Besides, it does not add trainable model parameters on clients and the server. By introducing our FedPPN, graph data holders (e.g., company and individual) can easily collaborate to improve the ...

A probability model is a convenient way to describe the distribution of ... This information can be presented in a graph, table, or formula. $\rightarrow$ The distribution of a random variable ...