A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

In this Invited Talk from SC19, Karen Willcox from the University of Texas presents: Predictive Data Science for Physical Systems: From Model Reduction to Scientific Machine Learning. Achieving ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

Automating through machine learning (ML) allowed Amazon.com to predict future demand for millions of products globally in seconds. Leaders at the multinational tech giant successfully reinvented their ...

The algorithms that underpin artificial intelligence systems like ChatGPT can’t learn as they go along, forcing tech companies to spend billions of dollars to train new models from scratch. While this ...