In motorsport, there’s nowhere to hide as AI becomes new CFD tool

Not only were CFD sims cheaper than wind tunnel time, but they were also much faster at iterating. Early design work is now ...
Mirage News

New AI Technique Automates Crystal Screening

EMBL Grenoble's Marquez Team has developed an AI-based training method that automates crystal screening and identification ...

AI classifier flags bird flu genomes more likely to spread in mammals

A research team from the LKS Faculty of Medicine at the University of Hong Kong (HKUMed) has developed a machine-learning ...
IEEE

Explainable Machine Learning for Multiclass Stress Prediction Using Questionnaire Data

Abstract: The abrupt transition to Emergency Remote Learning during the COVID-19 pandemic significantly elevated psychological stress among higher education students. Yet, most existing research ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...
Futurism

Sam Altman’s Coworkers Say He Can Barely Code and Misunderstands Basic Machine Learning Concepts

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...
Business Wire

FDA Grants De Novo Classification to neuropacs™, a First-in-Class AI-Based MRI Diagnostic Aid for Parkinsonian Syndromes

GAINESVILLE, Fla.--(BUSINESS WIRE)--Neuropacs™ Corp., an innovator in AI-enabled neurological imaging, today announced that the U.S. Food and Drug Administration has granted De Novo classification to ...
IEEE

Optimizing ResNet-50 for Multiclass Classification: A Multi-Stage Learning Approach

Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...