In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and ...

Truong Vo (MLDS '25) shared his research findings for a new machine learning algorithm at the IEEE International Conference on Big Data. The world record for most pieces in a jigsaw puzzle is 551,232 ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...

The field of industrial production is increasingly dependent on materials whose origins and behaviors are intricately tied to geological processes and ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Offered: Winter (TTh 12:30-1:50 p.m.) and Spring (TTh 9:30-10:50 a.m.) Data Engineering Studio teaches how to build a sustainable data science lifecycle. Students will analyze data in multiple ...

Machine-learning molecular simulations show pristine graphene is intrinsically hydrophobic and that water trapped beneath the ...

Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...