Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Blue Jays' John Schneider delivers ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Imagine if you could "print" a tiny skyscraper using DNA instead of steel. That’s what researchers at Columbia and Brookhaven are doing—constructing intricate 3D nanostructures by harnessing the ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The Bisection Method is a numerical technique to find roots of a continuous function f(x). The method works by repeatedly dividing an interval [a, b] in half and selecting the subinterval in which the ...

AI-powered algorithm can analyze video recordings of clinical sleep tests and more accurately diagnose REM sleep behavior disorder. A Mount Sinai-led team of researchers has enhanced an artificial ...

Abstract: A machine learning-assisted quasi-bisection method (MLAQBM) is proposed for the broadband optimization of the pixelated patch antennas. Distinct from traditional MLA optimization methods, ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...