TensorFlow, the open-source platform for machine learning, has just received its final release for version 2.0. According to the company's official Medium blog, the update brings a set of new features ...

In this video from the 2019 OpenFabrics Workshop in Austin, Xiaoyi Lu from Ohio State University presents: Accelerating TensorFlow with RDMA for High-Performance Deep Learning. Google’s TensorFlow is ...

machine learning (ML) software library TensorFlow was released by Apple on November 18, 2020. This version of TensorFlow officially supports the acclaimed ' M1 ' chip, which has scored high on ...

Google open-sourced the TensorFlow Runtime (TFRT), a new abstraction layer for their TensorFlow deep-learning framework that allows models to achieve better inference performance across different ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google today launched an OpenCL-based mobile GPU inference engine for its ...

PowerAI is IBM’s machine learning framework for companies that use servers based on its Power processors and NVIDIA’s NVLink high-speed interconnects that allow for data to pass extremely quickly ...

TensorFlow (which is Google’s open source machine learning software that now powers applications like Google Translate and many Google Photos features) has now reached a major landmark: its 1.0 ...

Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started. Getting the ...

Future plans for the project that brings Swift to machine learning include C++ interoperability, improved automatic differentiation, and support for distributed training Google developers behind Swift ...

In this video, researchers from IBM Research in Zurich describe how the new IBM Snap Machine Learning (Snap ML) software was able to achieve record performance running TesorFlow. “In a newly published ...