4- Case Study: Jet Engine Data Collection and Data Analytics using the Google Cloud Platform In this project, eInfochips team designed and implemented algorithms for failure diagnostics using machine ...

The P4 GPUs are good fits to accelerate inference engines executing pre-trained machine learning algorithms ... price/performance," Ari Liberman, a Google Cloud product manager, said in a blog ...

director of product management for machine learning, systems and Cloud AI, in a blog post. With the VMware Cloud Foundation on Google Cloud VMware Engine (GCVE) now generally available ...

To maximize this infrastructure's utility, Google Cloud has developed Pathways, a machine learning runtime created by Google DeepMind that enables efficient distributed computing across multiple ...

Google has updated its TensorFlow open source machine learning code to enable it to be deployed on cloud platforms and across hundreds of distributed machines. TensorFlow 0.8 now gives developers ...

The latest advances and the future of Google Cloud ... directions of Google Cloud Platform and cloud computing. This year, artificial intelligence and machine learning, along with announcements ...

Global tech giant Google has started accepting applications for its 2025 AI First accelerator for the Middle East, North Africa, and Turkey (MENAT). The ten-week program offers seed to Series A ...

Kubernetes has evolved far beyond its roots as an open-source container orchestration platform — it’s now a cornerstone of modern AI and machine learning infrastructure. As the chaotic sprint ...

Cohen, Lauren, Christopher Malloy, and William Powley. "Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)." Harvard Business ...

To help ensure Google Cloud customers can quickly recover their business from a cyberattack or operational disruption ...