Columbia University School of Professional Studies

Unearthing Hidden Potential and Lost Treasure: AI Applications in Learning Management

A recent event hosted by the M.S. in Human Capital Management (HCM) program sought to get to the bottom of a very important ...

Google's Head Of Learning Says AI Can't Solve Education's Real Problem

Ben Gomes spent 21 years building Google Search. Now he argues the most important thing in education is something no ...
TechCrunch

ChatGPT can now create interactive visuals to help you understand math and science concepts

On Tuesday, OpenAI introduced dynamic visual explanations, a new ChatGPT feature that allows users to see how formulas, variables, and mathematical relationships change in real time. Instead of just ...
GitHub

Federated Learning under Distributed Concept Drift (FedDrift)

This repository is the source code for our paper: Federated Learning under Distributed Concept Drift (AISTATS'23). Federated Learning (FL) under distributed concept drift is a largely unexplored area.
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
acm.org

Building Intelligent Agents with Neuro-Symbolic Concepts

One of the long-term goals of artificial intelligence (AI) is to build machines that can continually learn new knowledge from their experiences, ground these experiences in the physical world, and ...
ktiv

Sioux City Public Library event teaches science and engineering concepts through hands-on learning

SIOUX CITY (KTIV) - Children ages 4 to 12 learned about science, technology, engineering and math concepts through hands-on activities on Friday, Dec. 27. at the STEM Saturday Innovation Studio at the ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
WFMZ-TV

Unique learning experience gives students hands-on understanding of architecture, building concepts

READING, Pa. - A group of 4th grade students from Lauer's Park Elementary School in Reading headed out for a field trip Wednesday as part of a special course that teaches architecture and building ...
IEEE

Rethinking the Concept of Pixel Intensity Contrast From a Machine Learning Perspective

Abstract: Image contrast is a critical factor for machine vision tasks. A promising approach for enhancing contrast involves the use of algorithmically optimized, spectrally tunable illumination.
Forbes

Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the importance of performing ...