This complete model of pedestrian activity is replicable in any U.S. city, and it has huge potential benefits for city planners.

A new proposal calls on social media and AI companies to adopt strict verification, but the company hasn’t committed to ...

In Python Physics Lesson 14, we explore the simulation of elastic collisions and springs! Learn how to model collisions, spring dynamics, and energy transfer using Python, with step-by-step coding and ...

In this episode of eSpeaks with Corey Noles, Dr. Luke Hobson, Senior Instructional Designer at MIT xPRO, offers a rare look into both sides of the AI learning equation: why it’s urgently needed in ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This repository contains the source code for TensorFlow Privacy, a Python library that includes implementations of TensorFlow optimizers for training machine learning ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...