Machine learning (ML) models, e.g., deep neural networks (DNNs), are
vulnerable to adversarial examples: malicious inputs modified to yield
erroneous model outputs, while appearing unmodified to human observers.
Potential attacks include having malicious ... (more…)
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Terry Tao entitled his 2006 Fields Medal Lecture "The Dichotomy between structure and randomness" and state the Structure Theorem: Every ob... (more…)
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No Ads! Continue to support the channel: https://paypal.me/aipursuit Machine Learning Meets Single Cell Biology Dana Pe'er Subscribe for more content :) ⇢ ht... (more…)
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I present my recollections of Richard Feynman's mid-1980s interest in
artificial intelligence and neural networks, set in the technical context of
the physics-related approaches to neural networks of that time. I attempt to
evaluate his ideas in the light... (more…)
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Discover how ML can be applied to genomic data to detect diseases like cancer and Alzheimer's disease. (more…)
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