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The do-it-yourself climate modeling movement is here. Researchers from Northwestern University and Argonne National Laboratory have been launching NVIDIA Jetson-driven edge computing Waggle devices across the globe to collect hyper-local climate information. Waggle is an open source sensor platform for edge computing developed by Argonne.… Read More »DIY Urban AI: Researchers Drive Hyper-Local Climate Modeling Movement Scott Martin – Archives Page 1 | NVIDIA Blog

By Sam Sepah, ML Research Program ManagerAs a Deaf person who learned sign language from my family at an early age, I consider myself lucky. Every day, 33 babies are born with permanent hearing loss in the U.S. (kdhe.ks.gov, deafchildren.org) The majority of deaf children… Read More »A new Kaggle competition to help parents of deaf children learn sign language noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ This post is co-written with Swagata Ashwani, Senior Data Scientist at Boomi. Boomi is an enterprise-level software as a service (SaaS) independent software vendor (ISV) that creates developer enablement tooling for software engineers. These tools integrate via API into Boomi’s core service offering. In… Read More »Boomi uses BYOC on Amazon SageMaker Studio to scale custom Markov chain implementation Dan Ferguson AWS Machine Learning Blog

​Posted by Hartmut Neven, VP of Engineering, and Julian Kelly, Director of Quantum Hardware, on behalf of the Google Quantum AI Team Many years from today, scientists will be able to use fault-tolerant quantum computers for large-scale computations with applications across science and industry. These… Read More »Suppressing quantum errors by scaling a surface code logical qubit Google AI Google AI Blog

​Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) It’s an incredibly exciting time to be a scientist. With the… Read More »Google Research, 2022 & beyond: Natural sciences Google AI Google AI Blog

​ After you build, train, and evaluate your machine learning (ML) model to ensure it’s solving the intended business problem proposed, you want to deploy that model to enable decision-making in business operations. Models that support business-critical functions are deployed to a production environment where… Read More »MLOps deployment best practices for real-time inference model serving endpoints with Amazon SageMaker Maira Ladeira Tanke AWS Machine Learning Blog

​ In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart. Stable Diffusion is a deep learning model that allows you to generate realistic, high-quality images and stunning art in just a few seconds.… Read More »Fine-tune text-to-image Stable Diffusion models with Amazon SageMaker JumpStart Vivek Madan AWS Machine Learning Blog