The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Google is developing a new advanced face unlock system called “Project Toscana” for Pixel phones and Chromebooks. Toscana is designed to perform better in challenging lighting conditions than Google’s ...

Exxon Mobil has begun a reconfiguration project at its 588,000 b/d refinery and petrochemical plant in Baytown, Texas, that is designed to increase production of diesel and higher-value base stocks.

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Since 1952, the Whirlpool Foundation has been making real, positive differences in local communities where Whirlpool Corporation families live and work. This is accomplished through two central ...

Insights that answer the business questions above based on data analysis conducted. A predictive model that can classify individuals into two categories: depressed (label 1) and not depressed (label 0 ...

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...

In education, there’s sometimes a misperception that innovation must be linked to major changes in classroom instruction. I’ve witnessed schools restructuring their classes to be entirely ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

Imagine data centers floating in orbit, powered directly by the Sun and running machine learning models beyond Earth’s energy constraints. That’s Google’s bold new moonshot, Project Suncatcher, a ...

Abstract: This work proposes the use of machine learning-based techniques for enhanced testability and performance calibration of an industrial 79-GHz power amplifier (PA) designed for an automotive ...