ai/ml

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…

2 years ago

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…

2 years ago

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…

2 years ago

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…

2 years ago

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…

2 years ago

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…

2 years ago

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 modaLos proveedores de Software que venden productos basados…

2 years ago

Detecting Scene Changes in Audiovisual Content

Avneesh Saluja, Andy Yao, Hossein TaghaviIntroductionWhen watching a movie or an episode of a TV show, we experience a cohesive narrative…

2 years ago

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.…

2 years ago

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,…

2 years ago