What is data center management?

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 …

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Responsible AI at Google Research: AI for Social Good

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, …

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Use the AWS CDK to deploy Amazon SageMaker Studio lifecycle configurations

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 …

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RNA-Seq and protein structure prediction with BigQuery and Vertex AI

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 …

RoboCat: A self-improving robotic agent

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 …

Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps

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 …

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La eficacia y ética de la Inteligencia Artificial deben pasar de lo fatuo a lo operacional

(An English-language version of this post can be read here.) Inteligencia Artificial: Más que una moda Los proveedores de Software que venden productos basados en IA defectuosa y los expertos en ética distraídos por sus abstracciones alejadas de la realidad deberían plantearse una pregunta básica: ¿Están enfrentándose a problemas del mundo real o se están deleitando con …

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Detecting Scene Changes in Audiovisual Content

Avneesh Saluja, Andy Yao, Hossein Taghavi Introduction When watching a movie or an episode of a TV show, we experience a cohesive narrative that unfolds before us, often without giving much thought to the underlying structure that makes it all possible. However, movies and episodes are not atomic units, but rather composed of smaller elements such …

Re-invent your warranty process with a digital twin

According to Warranty Week, claims totaling 46 billion USD were paid by the global automotive Original Equipment Manufacturers in 2021. 54 billion USD in accruals have been made. This means that based on experience, roughly $630 per vehicle sold is held back for upcoming warranty issues. The challenge to avoid or reduce warranty claims and …

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Reduce energy consumption of your machine learning workloads by up to 90% with AWS purpose-built accelerators

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. Increasingly, sustainability (energy efficiency) is becoming an additional objective for customers. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks. In addition, more …