Sensat creates digital twins for public infrastructure to improve productivity, raises $20M
London-based Sensat raised $20.5M to help commercialize digital twins for infrastructure projects in energy, rail and telecommunications.Read More
OpenAI offers early look at DALL-E API, showcases text-to-image use case
The DALL-E API hasn’t yet been officially announced, but OpenAI shared details about an early customer already testing the API.Read More
Deep learning with light: Components of machine learning model encoded onto light waves
Ask a smart home device for the weather forecast, and it takes several seconds for the device to respond. One reason this latency occurs is because connected devices don’t have enough memory or power to store and run the enormous machine-learning models needed for the device to understand what a user is asking of it. …
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Más que anonimizar (Explicando Palantir, #3)
(An English-language version of this post can be read here.) Nota del editor: Este es el tercer post de Palantir Explained, una serie que explora una selección de temas, incluido nuestro enfoque hacia la privacidad, la seguridad, y la seguridad de la IA/ML, entre otros. Las entradas anteriores exploran nuestro modelo de negocio y los controles …
Do Modern ImageNet Classifiers Accurately Predict Perceptual Similarity?
Posted by Manoj Kumar, Research Engineer, and Ekin Dogus Cubuk, Research Scientist, Google Research The task of determining the similarity between images is an open problem in computer vision and is crucial for evaluating the realism of machine-generated images. Though there are a number of straightforward methods of estimating image similarity (e.g., low-level metrics that …
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Detect fraudulent transactions using machine learning with Amazon SageMaker
Businesses can lose billions of dollars each year due to malicious users and fraudulent transactions. As more and more business operations move online, fraud and abuses in online systems are also on the rise. To combat online fraud, many businesses have been using rule-based fraud detection systems. However, traditional fraud detection systems rely on a …
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Implement RStudio on your AWS environment and access your data lake using AWS Lake Formation permissions
R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. RStudio, the integrated development environment for R, provides open-source tools and enterprise-ready professional software for teams to develop and share their work across their organization Building, …
Design patterns for serial inference on Amazon SageMaker
As machine learning (ML) goes mainstream and gains wider adoption, ML-powered applications are becoming increasingly common to solve a range of complex business problems. The solution to these complex business problems often requires using multiple ML models. These models can be sequentially combined to perform various tasks, such as preprocessing, data transformation, model selection, inference …
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Run interactive pipelines at scale using Beam Notebooks
To all Apache Beam and Dataflow users: If you’ve experimented with Beam, prototyped a pipeline, or verified assumptions about a dataset, you might have used Beam Notebooks or other interactive alternatives such as Google Colab or Jupyter Notebooks. You might also have noticed a gap between running a small prototype pipeline in a notebook and …
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How Tarteel Uses AI to Help Arabic Learners Perfect Their Pronunciation
There are some 1.8 billion Muslims, but only 16% or so of them speak Arabic, the language of the Quran. This is in part due to the fact that many Muslims struggle to find qualified instructors to give them feedback on their Quran recitation. Enter today’s guest and his company Tarteel, a member of the …
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