By abstracting away the complexity of distributed machine learning, H2O makes it easy for organizations to build data models and workflows using popular languages such as R, Python, Scala, and ...

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Released under the Apache 2.0 license, TensorFlow aims to showcase Google's accomplishments in the machine learning field to the masses. The bar to entry on TensorFlow is also small, able to run ...

Amazon is making a bigger leap into open-source technology with the unveiling of its machine-learning software DSSTNE. The newly released program is competing with Google’s TensorFlow , which ...

TensorFlow was originally a deep learning research project of the Google Brain Team that has since become–by way of collaboration with 50 teams at Google–an open source library deployed across ...

According to the TensorFlow site, Google open sourced the project to help standardize machine learning systems. “Research in this area is global and growing fast, but lacks standard tools ...

The company is also rolling out a series of open-source machine learning (ML) technology updates and enhancements for the growing TensorFlow ecosystem.

The design automation community has been actively exploring machine learning (ML) for very-large-scale-integrated (VLSI) computer-aided design (CAD). Many studies have explored learning-based ...

We will show examples of important machine learning use cases and proof points in the RTL-to-GDS flow, along with demos of an open-source, freely portable integrated metrics collection system.The ...