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A program to fund experiments in establishing a democratic process for determining rules for AI systems within legal limits.

The blogpost highlights the research efforts behind some of the announcements made at Google I/O 2023, including advancements in language models like PaLM 2, image generation and editing models like Imagen, and text-to-video generation models like Phenaki.

This blogpost discusses differentially private clustering algorithms for large-scale datasets, focusing on hierarchical graph clustering and metric space clustering. It also explores the application of differentially private clustering in a real-world scenario for publishing COVID vaccine-related queries while protecting user privacy.

Developing an early warning system to detect extreme risks in powerful AI models with dangerous capabilities.

The Future of Data-centric AI conference features expert speakers discussing the latest advancements and trends in the field of AI and machine learning, including luminaries, enterprise veterans, and academic leaders.

Streamline the hosting of machine learning demos using Lambda Demos with a user-friendly interface and easy setup.

Unveiling seamless integration of local SSD disks into HDFS for optimal disk IO and exceptional performance.

Safety audit confirms safetensors is safe and ready to become the default library for saved models.

Using AI to analyze images and identify similar materials, providing applications in robotic scene understanding, image editing, and online recommendation systems.

The blogpost discusses the process of migrating 200,000 machines from CentOS 7 to RHEL 9 using automation at scale.

The blogpost discusses Pinterest's new generation of asynchronous computing platform called Pacer, addressing limitations and optimizing functionalities of the existing platform, Pinlater.

Using machine learning to automate and streamline the code review process by proposing code changes based on reviewer comments.