Artificial Intelligence #102

Hey, in this issue: an open-source tool for high standards validations for ML models and data; AI can now craft original jokes; we’re one step closer to self-farming farms; students develop beer using AI; research themes from 2021 and beyond; a tutorial on breaking captchas with deep learning; and more.

This issue is sponsored by Fiddler and AICamp.

• [Project] Deepchecks: an open-source tool for high standards validations for ML models and data
• [Time] AI can now craft original jokes—and that’s no laughing matter
• We’re one step closer to self-farming farms (plus Wired)
• [Sponsored] fiddler.ai/responsible-AI-eBook

Read this O'Reilly eBook to learn how to build high performance Responsible AI, including an overview of Model Performance Management for each stage of the ML lifecycle.

• Machine learning students develop beer using AI
• Real-time machine learning: challenges and solutions
• [Project] ecco : explain, analyze, and visualize NLP language models
• [Sponsored] AI Summit 2022 geared for AI startups and developers, with Fei-fei Li, Reid Hoffman, Pieter Abbeel,?and 20+ speakers
• [Google] Google Research: themes from 2021 and beyond
• [Tutorial] Breaking captchas with deep learning, Keras, and TensorFlow

The newsletter is now read by more than 550,000 subscribers. If you are building an AI or a data product or service, you are invited to join the list of?these great companies?by becoming a sponsor of one of the future newsletter issues. Feel free to reach out to?[email protected]?for more details on sponsorships.

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Have a nice weekend! See you next week. — Andriy