Artificial Intelligence #142

Hey, in this issue: why AI shouldn’t be making life-and-death decisions; measuring perception in AI models; new number formats and basic computations emerge to speed up AI training; on general-purpose pre-trained models in robotics; DeepMind breaks 50-year math record using AI - new record falls a week later; and more.

This issue is sponsored by?Fiddler ?and?Weaviate .

• [MIT TR] Why?AI shouldn’t be making life-and-death decisions
• [Project] PaddleSeg - an easy-to-use?image segmentation library with pre-trained model zoo
• [Meta] A new AI-powered speech translation system pioneers?a new approach for an unwritten language
• On?general-purpose pre-trained models in robotics
• [Sponsored]?How Explainable AI Works in Fiddler

ML models are increasingly complex, making it hard to understand the how and why behind their decisions.?Explainable AI ?provides visibility into model behavior, bias, and predictions.?Learn how XAI works in Fiddler , including our proprietary techniques, supported frameworks, and XAI use cases.

• [IEEE] Machine learning’s new math:?new number formats and basic computations emerge to speed up AI training
• [DeepMind]?Measuring perception in AI models
• [Sponsored] Vector Search engines can run ML-based queries on multi-million datasets in milliseconds.?Why is Vector Search so fast ?
• [Wired] AI shouldn’t compete with workers—it should supercharge them
• [ArsTechnica] DeepMind breaks 50-year math record using AI;?new record falls a week later

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