Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The ...

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. To say that it’s challenging to achieve AI at scale across the enterprise would be ...

Keysight Technologies, Inc. has released the new Machine Learning Toolkit in the latest Keysight Device Modelling Software Suite. This new solution decreases model development and extraction time from ...

Fabs are beginning to deploy machine learning models to drill deep into complex processes, leveraging both vast compute power and significant advances in ML. All of this is necessary as dimensions ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

NEW YORK--(BUSINESS WIRE)--Comet, provider of the development platform for enterprise machine learning (ML) teams, today announced it has raised $50 million in a series B funding round, led by ...

A platform approach to bioprocessing uses the same set of protocols and systems found during early phase development. Scientists then transfer the protocols, by either scaling-up or scaling-out, ...

Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...