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Nixie’s drone-based water sampling could save cities time and money

TechCrunch

Nixie is a solution by the drone specialists at Reign Maker, involving either a custom-built sample collection arm or an in-situ sensor arm. The sample collector is basically a long vertical arm with a locking cage for a sample container. Image Credits: Reign Maker.

Sample 142
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How machine learning can be used to identify microplastics

Fast Company Tech

The width of a human hair, for comparison, ranges from 20 to 200 micrometers. When scientists collect samples from the environment to study microplastics, they usually want to know more about the chemical identities of the microplastic particles found in the samples. Most scientific studies focus on microplastics in water.

Learning 115
professionals

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Announcing the first Machine Unlearning Challenge

Google Research AI blog

A straightforward way to produce this unlearned model is to retrain the model on an adjusted training set that excludes the samples from the forget set. An unlearning algorithm takes as input a pre-trained model and one or more samples from the train set to unlearn (the "forget set"). demographics, age groups, etc.).

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Blackbaud vs. Salesforce: A Full Comparison for Nonprofits

DNL OmniMedia

We’ve thought through the pros and cons of both providers to offer a full comparison that will help you as you shop for the right software for your mission. Salesforce Documentation : Explore developer notes, tutorials, sample code, and more.

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Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages

Google Research AI blog

A sample of the languages that USM supports. It takes as input the log- mel spectrogram of the speech signal and performs a convolutional sub-sampling, after which a series of Conformer blocks and a projection layer are applied to obtain the final embeddings. Our model has, on average, a 32.7% relative lower WER with in-domain data.

Language 140
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Don’t take Nvidia’s word for it — try Nvidia’s awesome new image comparison tool, instead

The Verge

Nvidia wants you to know that AMD’s FidelityFX Super Resolution (FSR) is a mere pretender, nothing like the Nvidia Deep Learning Super Sampling (DLSS) technique its GPUs can use to boost the framerate and/or image quality of your games.

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Preference learning with automated feedback for cache eviction

Google Research AI blog

The reward model is a lightweight neural network that is continuously trained with ongoing automated feedback on preference comparisons designed to mimic the offline oracle. To address these issues, HALP first applies an inexpensive heuristic scoring rule that corresponds to an eviction priority to identify a small candidate sample.