Posted by Alexis Morvan and Trond Andersen, Research Scientists, Google Quantum AI When quantum computers were first proposed, they were hoped to be a way to better understand the quantum world. With a so-called “quantum simulator,” one could engineer a quantum computer to investigate how various quantum phenomena arise, including those that are intractable to …
Read more “Formation of Robust Bound States of Interacting Photons”
Data preparation is a principal component of machine learning (ML) pipelines. In fact, it is estimated that data professionals spend about 80 percent of their time on data preparation. In this intensive competitive market, teams want to analyze data and extract more meaningful insights quickly. Customers are adopting more efficient and visual ways to build …
Read more “Prepare data from Amazon EMR for machine learning using Amazon SageMaker Data Wrangler”
Across all industries, machine learning (ML) models are getting deeper, workflows are getting more complex, and workloads are operating at larger scales. Significant effort and resources are put into making these models more accurate since this investment directly results in better products and experiences. On the other hand, making these models run efficiently in production …
In this post, we show how to train, deploy, and predict natural disaster damage with Amazon SageMaker with geospatial capabilities. We use the new SageMaker geospatial capabilities to generate new inference data to test the model. Many government and humanitarian organizations need quick and accurate situational awareness when a disaster strikes. Knowing the severity, cause, …
Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning (ML) models based on your data, while allowing you to maintain full control and visibility. Autopilot can also deploy trained models to real-time inference endpoints automatically. If you have workloads with spiky or unpredictable traffic patterns that can tolerate cold starts, then deploying …
Read more “Deploy Amazon SageMaker Autopilot models to serverless inference endpoints”
Imagine trying to teach a toddler what a unicorn is. A good place to start might be by showing the child images of the creature and describing its unique features. Now imagine trying to teach an artificially intelligent machine what a unicorn is. Where would one even begin? Pretrained AI models offer a solution. A …
Data-driven AI technology, when correctly deployed and managed, can offer enhanced event experiences for attendees and organizations alike.Read More
Diversity, equity and inclusion are by no means new problems for the tech industry. However, new issues like the economic downturn can lead companies to take measures — like layoffs — that can worsen an already glaring problem.Read More
From monsters to kittens to strategy games, these sets will liven things up on nights when everyone is tired of screens.
These favorites from the second half of the year teach us about Ukrainian and Chinese-American cuisines, cocktails, and sourdough loaves.