Abstract: Modern embedded systems are evolving quickly, demanding innovative approaches to software development across various domains. Selecting the right programming language is crucial for ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Building async applications often means dealing with background tasks. Existing solutions like Celery require separate worker processes and complex configuration. Kew takes a different approach: Kew ...

APPL is A Prompt Programming Language that extends Python to provide a Natural, Intuitive, Convenient, and Efficient (NICE) way to utilize Large Language Models (LLMs) such as GPT in your program. We ...