An Azure Architecture for Digitization of P&ID: Gives an overview of the project context and overall architecture.Start here to get a better sense of the project as a whole and the high level data ...

Before applying any machine learning or artificial intelligence method, you need to ensure that your flow cytometry data is properly preprocessed and quality-controlled. This includes removing ...

However, its complicated estimation process brings large runtime overhead and may not be suitable for real time embedded software. In this paper, we solve this problem by proposing a Runtime Machine ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

SAN DIEGO--(BUSINESS WIRE)--Insightful Science, the software company enabling the Cloud for Scientific Discovery, announced today that it has acquired Omiq Inc, a company specialized in data ...

As use of data driven technologies spreads, software engineers are more often faced with the task of solving a business problem using data-driven methods such as machine learning (ML) algorithms.