Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Tech Xplore

Can AI build a machine that draws a heart? What automated mechanism design could mean for mechanical engineering

Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism ...
Chromatography Online

AI/ML in Practice: Emery Bosten Explores Assisted Active Learning (AAL)

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

C.H. Robinson: The AI Scare Is An Overreaction (Rating Upgrade)

C.H. Robinson Worldwide has surged over 70% since last July, outperforming the S&P 500 by a wide margin. Click here to read my latest analysis of CHRW stock.
IEEE

Business Process Control-Flow Complexity Prediction Using Machine Learning-based Tool

Abstract: Business processes are structured sequences of activities, events, and other elements designed to fulfill customer needs in services or goods. Business process management is an approach used ...

Quantum dots reveal entropy production, a key measure of nanoscale energy dissipation

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than it sounds. Memory storage, information processing, and energy use in these ...
IEEE

Machine Learning-Based Traffic Flow Prediction and Management

Abstract: Artificial Intelligence (AI) and data analytics are used by a machine learning-based traffic prediction and management to optimize transport networks, improve safety, and improve traffic ...
GitHub

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models

This repository contains the official implementation of the paper "SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models". We proposed a flow-matching framework that learns an ...