Explores the detection of stable particles in particle physics experiments, covering observed and unobserved particles, their lifetimes, and the impact of Lorentz boost.
Delves into the fundamental limits of gradient-based learning on neural networks, covering topics such as binomial theorem, exponential series, and moment-generating functions.
