Tag: ai/ml

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 …

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(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 …

Read more “La eficacia y ética de la Inteligencia Artificial deben pasar de lo fatuo a lo operacional”

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 …

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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 …

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

Generative AI will “supercharge” creators across industries and content types, NVIDIA founder and CEO Jensen Huang said today at the Cannes Lions Festival, on the French Riviera. “For the very first time, the creative process can be amplified in content generation, and the content generation could be in any modality — it could be text, …

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Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment. More concretely, a SageMaker domain …

Read more “Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles”