Discover how the Asus Flow 13 delivers desktop-level power in a portable laptop, perfect for local AI, machine learning and ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

2022.123087 [6] A. Bard, Y. Qiu, C.R. Kharangate, R. French, Consolidated modeling and prediction of heat transfer coefficients for saturated flow boiling in mini/micro-channels using machine learning ...

Webroot has announced the acquisition of CyberFlow Analytics, a firm which specializes in harnessing machine learning technology ... traffic and analysts can view alerts via a security information ...

Engineers working on Google’s TensorFlow machine learning framework have revealed a subproject, MLIR, that is intended to be a common intermediate language for machine learning frameworks.

Seeing an opportunity to improve the RFP process using data, advanced predictive analytics and machine learning, ThreeFlow focused on the greatest pain points the employee benefits industry has today.

Wind-flow models are key tools in describing how a wind resource ... These factors can make CFD models commercially prohibitive. We propose an alternative machine learning (ML) data-based model. The ...