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Posted by Zalán Borsos, Research Software Engineer, and Marco Tagliasacchi, Senior Staff Research Scientist, Google Research The recent progress in generative AI unlocked the possibility of creating new content in several different domains, including text, vision and audio. These models often rely on the fact that raw data is first converted to a compressed format …
This post is co-written with Aruna Abeyakoon and Denisse Colin from Light and Wonder (L&W). Headquartered in Las Vegas, Light & Wonder, Inc. is the leading cross-platform global game company that provides gambling products and services. Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to …
Read more “How Light & Wonder built a predictive maintenance solution for gaming machines on AWS”
Detecting delirium isn’t easy, but it can have a big payoff: speeding essential care to patients, leading to quicker and surer recovery. Improved detection also reduces the need for long-term skilled care, enhancing the quality of life for patients while decreasing a major financial burden. In the U.S., caring for those suffering from delirium costs …
Read more “Scientists Improve Delirium Detection Using AI and Rapid-Response EEGs”
Introducing Palantir FedStart: Helping SaaS companies do business with the Government Editor’s Note: The following post is intended for SaaS companies seeking to provide solutions to the U.S. government at the speed of innovation but lacking the accreditations to do so. Palantir FedStart can help. Each year, the U.S. federal government spends around $100 billion on …
To provide stakeholders with vital IT services, organizations need to keep their private data centers operational, secure and compliant. Data center management encompasses the tasks and management tools necessary for doing so. A person responsible for carrying out these tasks is known as a data center manager. What is the role of a data center …
Posted by Jimmy Tobin and Katrin Tomanek, Software Engineers, Google Research, AI for Social Good Google’s AI for Social Good team consists of researchers, engineers, volunteers, and others with a shared focus on positive social impact. Our mission is to demonstrate AI’s societal benefit by enabling real-world value, with projects spanning work in public health, …
Read more “Responsible AI at Google Research: AI for Social Good”
Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). Studio provides a single web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. Lifecycle configurations are shell scripts triggered by Studio lifecycle events, such as starting …
Read more “Use the AWS CDK to deploy Amazon SageMaker Studio lifecycle configurations”
RNA-Seq and protein structure prediction are essential tools in modern biological research, facilitating insights into the molecular mechanisms of diseases and the development of potential therapies. RNA-Seq is a technique for profiling gene expression, enabling researchers to better understand gene regulation and complex interactions between genes. Protein structure prediction, on the other hand, provides information …
Read more “RNA-Seq and protein structure prediction with BigQuery and Vertex AI”
Robots are quickly becoming part of our everyday lives, but they’re often only programmed to perform specific tasks well. While harnessing recent advances in AI could lead to robots that could help in many more ways, progress in building general-purpose robots is slower in part because of the time needed to collect real-world training data. Our …
Optimal transport (OT) theory focuses, among all maps that can morph a probability measure onto another, on those that are the “thriftiest”, i.e. such that the averaged cost between and its image be as small as possible. Many computational approaches have been proposed to estimate such Monge maps when is the distance, e.g., using entropic …