We’ve all been there— asking a voice assistant to play a song, launch an app, or answer a question, but the assistant doesn’t comply. Maybe it’s a network outage, or maybe you’re in the middle of nowhere, far away from coverage—either way the result is the same: the voice assistant can’t connect to the server …
Read more “Run Google Cloud Speech AI locally, no internet connection required”
(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 …
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 …
Read more “Do Modern ImageNet Classifiers Accurately Predict Perceptual Similarity?”
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 …
Read more “Detect fraudulent transactions using machine learning with Amazon SageMaker”
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, …
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 …
Read more “Design patterns for serial inference on Amazon SageMaker”
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 …
Read more “Run interactive pipelines at scale using Beam Notebooks”
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 …
Read more “How Tarteel Uses AI to Help Arabic Learners Perfect Their Pronunciation”
This paper was accepted at the Workshop on Distribution-Free Uncertainty Quantification at ICML 2022. Calibration is a fundamental property of a good predictive model: it requires that the model predicts correctly in proportion to its confidence. Modern neural networks, however, provide no strong guarantees on their calibration— and can be either poorly calibrated or well-calibrated …
by Jun He, Akash Dwivedi, Natallia Dzenisenka, Snehal Chennuru, Praneeth Yenugutala, Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations. A large number of batch workflows run daily to serve various business needs. …
Read more “Orchestrating Data/ML Workflows at Scale With Netflix Maestro”