Reuniting forcibly separated families: How a machine-learning model can help

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
Ars Technica

Why won’t Steam Machine support HDMI 2.1? Digging in on the display standard drama.

When Valve announced its upcoming Steam Machine hardware last month, some eagle-eyed gamers may have been surprised to see that the official spec sheet lists support for HDMI 2.0 output, rather than ...
IEEE

A Wasserstein Distributionally Robust Multiclass Support Vector Machine for Industrial Fault Diagnosis

Abstract: Modern fault diagnosis models that rely on machine learning and AI tools have been beset by three key challenges: first, highly uncertain training data due to sensor noise and potentially ...
The Cornell Daily Sun

BURZLAFF | The Basics (3): Learning with Machines — Four Principles for Using AI at Cornell

Every semester now begins with the same quiet contradiction. One syllabus declares, “No ChatGPT allowed.” Another encourages it as a research aid. And in between, most of us use it anyway. In a recent ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

AI Google's new AI 'world model' has seemingly spooked videogame investors, but it's hard to know what it will actually lead to Gaming Industry Over 50% of game developers now think generative AI is ...
InfoWorld

How to deploy machine learning models with AWS Lambda

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
IEEE

Quantum Machine Learning for Image Classification: A Hybrid Model of Residual Network with Quantum Support Vector Machine

Abstract: Recently, there has been growing attention on combining quantum machine learning (QML) with classical deep learning approaches as computational techniques are key to improving the ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
Frontiers

Assessing the learning potential of freshmen in labor education courses using ordinal features and support vector machine

Introduction: Artificial intelligence (AI) marks a new wave of the information technology revolution and permeates various sectors as an indispensable tool. Despite its widespread adoption, its ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
FedScoop

How to use machine translation responsibly in government

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...