This week in AI & Machine Learning: PyTorch gets an update, NVIDIA developer conference, DeepMind predicts the past, speech recognition with unlabeled data, and more!

 

Authors Note:

If Pi Day makes you think about food and numbers, you should join our upcoming event on March 23rd about how computer vision is changing the restaurant industry! Register for free on Eventbrite.

Artificial Intelligence News:

NVIDIA GTC March 21-24 2022

NVIDIA is hosting its “The Developer Conference for the Era of AI” event with an impressive list of keynote speakers. Check out the official event page to register for free and get more details.

Speech Recognition Using Multilingual Unlabeled Data

Meta AI discusses how they’re able to use unlabeled audio datasets to build better automatic speech recognition models using pseudo labeling.

“Our latest work in pseudo labeling makes it possible to build an effective ASR model using unlabeled data across 60 languages.” 

Read more about it on the Meta AI blog.

PyTorch 1.11 Introduces TorchRec, and Other Domain Library Updates

“PyDay” must have come early! The new PyTorch beta includes new features such as recommendation models and new features to audio, text, and vision modules. If you’re a developer, you’re going to love these updates! Read more on the PyTorch blog.

Optimizing Airline Tail Assignments for Cleaner Skies

Google provides details of how a mathematical optimizer could help meet the aggressive CO2 emissions goals set by the International Civil Aviation Organization (ICAO). Read more on the Google blog.

DeepMind Predicts the past with Ithaca

DeepMind publishes its research on the first deep neural network that they say can restore the missing text of damaged inscriptions, identify the origin, and predict the creation date. Read more on the DeepMind blog.

We’ll see you next week! You can join the discussion on the AI for ALL Slack.

About the Author & Plainsight:

Sage Elliott — Lead Developer Evangelist. Helping Plainsight make AI approachable for everyone.

Plainsight’s vision AI platform streamlines the end-to-end machine learning process. From data annotation through deployment, customers quickly create and successfully operationalize their own vision AI applications to solve highly diverse business challenges.

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