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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in …

Using a deep neural network to improve virtual images of people created using WiFi signals

A trio of researchers at Carnegie Mellon University has taken the use of WiFi signals to identify people in a building to a new level, through the use of a deep neural network. Jiaqi Geng, Dong Huang and Fernando De la Torre suggest, in a paper they have posted to the arXiv preprint server, that …

Building an Image Classifier with a Single-Layer Neural Network in PyTorch

Last Updated on January 18, 2023 A single-layer neural network, also known as a single-layer perceptron, is the simplest type of neural network. It consists of only one layer of neurons, which are connected to the input layer and the output layer. In case of an image classifier, the input layer would be an image …

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New Hires, Lost Keys & Lessons Learned (Passwordless Authentication Series, #3)

Editor’s Note: This is the third and final post in the Passwordless Authentication Series, which shares insights from our journey on enforcing FIDO2 authentication via hardware authenticators (YubiKeys) across all of Palantir. The first post focuses on hardware selection and logistics; the second post covers technical controls, rollout, and edge cases. While Palantir has enforced …

What is an open data lakehouse and why you should care?

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important. Why is a data lakehouse architecture becoming increasingly important? To start, many organizations …

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Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to interactively perform ML development tasks required to prepare data and build, train, and deploy ML models. In Studio, you can load data, adjust ML models, move in between steps to adjust experiments, …

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Built with BigQuery: How to accelerate data-centric AI development with Google Cloud and Snorkel AI

In Deloitte’s annual “State of AI in the Enterprise” survey, 94% of business leaders identified AI as critical to their organizations’ success over the next five years. That survey also uncovered a 29% increase in the number of organizations struggling to achieve meaningful AI-driven business outcomes. Part of this challenge lies in the ability to …