Artificial Intelligence #103
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Artificial Intelligence #103

Hey, in this issue: how well do explanation methods for machine-learning models work?; AI that understands speech by looking as well as hearing; using sensors and machine learning to bug-proof crops; the mixture of experts in neural networks; ConvNets vs Transformers; a deep learning toolkit for speech-to-text; and more.

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

Raúl Alexander Ibarra Florida

Psicólogo, People Analytics, Analista de Datos,, Asesor de Proyectos de Investigación, Systematic Reviewer : Freelance y Online

3 年

Excelent

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Meeta Sharma

Director-Product Development| BI ,Data and Analytics | Enterprise Platforms |Amex

3 年

Great ..

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Alex C.

Sr Python developer + ML experience

3 年

Andriy Burkov thank for the survey

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Sergei Polevikov, ABD, MBA, MS, MA ????????

Author of 'Advancing AI in Healthcare' | Healthcare AI Fraud Investigator

3 年

Looks like the good old ConvNets are still kicking it if used ‘right’, according to this new Facebook AI study.

Fletcher Kern

Customer Success Manager @ FOCUS Learning Corporation | Sales, XAAS

3 年

This is great

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