Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Workflow management systems (WMS) provide a robust solution for automating and ensuring the reproducibility of scientific and engineering experiments. However, reproducing machine learning (ML) ...

2. Basic Concepts of Machine Learning ML provides a fundamentally new way to explore the chemical compound space, uncovering correlations and cause-effect relationships that are otherwise inaccessible ...

Taye, M. M. (2023). Understanding of Machine Learning with Deep Learning Architectures, Workflow, Applications and Future Directions. Computers, 12, Article 91.

Artificial intelligence and software company Commure has launched a suite of AI agents designed to automate complex tasks and tackle front-office functions, along with patient navigation, care ...

Organic optoelectronic materials with localized or delocalized excitation features are widely used in various optoelectronic devices. A data-driven automated workflow was implemented for rapidly ...

These steps often stall machine learning projects between experimentation and production because of a lack of engineering resources or the complexity of debugging pipelines.

Called Launchpad, the program helps organizations, working alongside Epic experts, quickly operationalize gen-AI-assisted workflows, the company announced in a recent LinkedIn post.