Artificial Intelligence #143

Hey, in this issue: a bias bounty for AI will help to catch unfair algorithms faster; technology readiness levels for machine learning systems; up to 12X faster GPU inference on Bert, T5, and other transformers; using AI to compress audio files for quick and easy sharing; what are graph neural networks?; and more.

This issue is sponsored by Verta and Tonic.

• [Nature] Technology readiness levels for machine learning systems
• [Project] Up to 12X faster GPU inference on Bert, T5, and other transformers with OpenAI Triton kernels
• [Meta] Using AI to compress audio files for quick and easy sharing
• How do you solve a problem like a proton? Smash it, then build it back with machine learning
• [Sponsored] A Guide to Operational AI by Verta

Crossing the AI Chasm: What does it take to become an AI-forward organization? Read the Guide to Operational AI and learn how to adopt an Operational AI mindset, including: A roadmap for Operational AI & best practices, the people, process & technology you need, and a reference architecture for AI.

• A reinforcement learning-based four-legged robotic goalkeeper
• Machine learning could vastly speed up the search for new metals
• [Sponsored] Synthesize and augment your data for data science and ML workflows with a free trial of Djinn from Tonic.ai
• [Explained] What are graph neural networks?
• A bias bounty for AI will help to catch unfair algorithms faster

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