Slow productivity can be defined as working at a slower pace on fewer tasks at a time to increase workplace productivity and satisfaction. The trend toward slow productivity is for businesses and employees to rethink what productivity looks like and create an environment where quality of work is emphasized over quantity of work. In his …
Public health organizations have a wealth of data about different types of diseases, health trends, and risk factors. Their staff has long used statistical models and regression analyses to make important decisions such as targeting populations with the highest risk factors for a disease with therapeutics, or forecasting the progression of concerning outbreaks. When public …
When making financial decisions, it’s important to look at the big picture — say, one taken from a drone, satellite or AI-powered sensor. The emerging field of spatial finance harnesses AI insights from remote sensors and aerial imagery to help banks, insurers, investment firms and businesses analyze risks and opportunities, enable new services and products, …
In the cloud era, a compute cluster that once took months to build out can now be created and ready to use in minutes. In this blog post, we will discuss all pieces that come together to make this near-instant infrastructure a reality. From there, we will show how this infrastructure and file system fulfills …
Posted by Kuniaki Saito, Student Researcher, Cloud AI Team, and Kihyuk Sohn, Research Scientist, Perception Team Pre-training visual language (VL) models on web-scale image-caption datasets has recently emerged as a powerful alternative to traditional pre-training on image classification data. Image-caption datasets are considered to be more “open-domain” because they contain broader scene types and vocabulary …
Read more “Unifying image-caption and image-classification datasets with prefix conditioning”
Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can discover and deploy publicly available and proprietary foundation models to dedicated Amazon SageMaker instances for your generative AI applications. SageMaker JumpStart allows you to deploy foundation models from a network isolated environment, and …
Leading users and industry-standard benchmarks agree: NVIDIA H100 Tensor Core GPUs deliver the best AI performance, especially on the large language models (LLMs) powering generative AI. H100 GPUs set new records on all eight tests in the latest MLPerf training benchmarks released today, excelling on a new MLPerf test for generative AI. That excellence is …
Read more “NVIDIA H100 GPUs Set Standard for Generative AI in Debut MLPerf Benchmark “
The global automotive industry is in the midst of major changes and challenges against the trend of electrification and intelligence. According to the recent statistics released by a local auto industry association, the sales of China’s fuel vehicle market have declined for three consecutive years. With the intensification of the price war, some car companies …
Machine learning (ML) administrators play a critical role in maintaining the security and integrity of ML workloads. Their primary focus is to ensure that users operate with the utmost security, adhering to the principle of least privilege. However, accommodating the diverse needs of different user personas and creating appropriate permission policies can sometimes impede agility. …
Cloud SQL for PostgreSQL and AlloyDB for PostgreSQL now support the pgvector extension, bringing the power of vector search operations to PostgreSQL databases. You can read the full announcement here. In this step-by-step tutorial, we will show you how to add generative AI features to your own applications with just a few lines of code …
Read more “Building AI-powered apps on Google Cloud databases using pgvector, LLMs and LangChain”