BentoML is an open-source Python framework designed to simplify the deployment and serving of machine learning models in production environments.[1] It bridges the gap between model development and pr...
**Apache Airflow** is an open-source platform designed for programmatically authoring, scheduling, and monitoring complex workflows, often called Directed Acyclic Graphs (DAGs)[1][3][5][12]. It enable...
In this study, we design a reservoir computing (RC) network by exploiting short- and long-term memory dynamics in Au/Ti/MoS$_2$/Au memristive devices. The temporal dynamics is engineered by controllin...
Task-oriented knowledge graphs (KGs) enable AI-powered learning assistant systems to automatically generate high-quality multiple-choice questions (MCQs). Yet converting unstructured educational mater...
Metaflow is an open-source workflow orchestration platform developed by Netflix that simplifies the development, deployment, and management of machine learning and data science projects[1][7]. It prov...
MLflow is an **open-source platform designed to manage the end-to-end machine learning lifecycle**[1][2]. It provides a comprehensive toolkit that helps teams build, train, deploy, and monitor machine...
A **datachain** is a blockchain specifically optimized for data storage, retrieval, and processing.[1] Unlike traditional blockchains designed primarily for transaction processing, datachains are engi...
**Reasoning-from-scratch** is not a formally standardized term in AI/ML literature, but it is often used to describe approaches where AI models—especially large language models (LLMs)—are prompted or ...