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…)

Terry Tao entitled his 2006 Fields Medal Lecture  "The Dichotomy between structure and randomness" and state the Structure Theorem: Every ob... (more…)

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…)

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…)

Discover how ML can be applied to genomic data to detect diseases like cancer and Alzheimer's disease. (more…)