FAANG

Enabling large-scale health studies for the research community

Posted by Chintan Ghate, Software Engineer, and Diana Mincu, Research Engineer, Google Research As consumer technologies like fitness trackers and…

2 years ago

Build trust and safety for generative AI applications with Amazon Comprehend and LangChain

We are witnessing a rapid increase in the adoption of large language models (LLM) that power generative AI applications across…

2 years ago

Running AI and ML workloads with the Cloud HPC Toolkit

The convergence of high performance computing (HPC) systems and AI and machine learning workloads is transforming the way we solve…

2 years ago

Responsible AI at Google Research: Context in AI Research (CAIR)

Posted by Katherine Heller, Research Scientist, Google Research, on behalf of the CAIR Team Artificial intelligence (AI) and related machine…

2 years ago

OpenAI Data Partnerships

Working together to create open-source and private datasets for AI training.

2 years ago

Five scalability pitfalls to avoid with your Kafka application

Apache Kafka is a high-performance, highly scalable event streaming platform. To unlock Kafka’s full potential, you need to carefully consider…

2 years ago

Responsible AI at Google Research: Context in AI Research (CAIR)

Posted by Katherine Heller, Research Scientist, Google Research, on behalf of the CAIR Team Artificial intelligence (AI) and related machine…

2 years ago

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning…

2 years ago

3 new ways Duet AI can help you get things done fast in the Google Cloud console

Editorial note: Whether you're new to Google Cloud or an experienced user, read on to learn how Duet AI can…

2 years ago

SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets

*= Equal Contributors We propose a Self-supervised Anomaly Detection technique, called SeMAnD, to detect geometric anomalies in Multimodal geospatial datasets.…

2 years ago