Nature

Machine learning for workpiece mass prediction using real and synthetic acoustic data

We apply a feedforward neural network using supervised learning to sound recordings obtained without specialised equipment as workpieces undergo a simple manufacturing process to predict their mass.
Nature

A leakage-controlled machine learning framework for postprandial triglyceride phenotyping using synthetic clinical data

Whole blood viscosity (WBV) has been linked to cardiometabolic risk, yet its relationship with short-term postprandial triglyceride (TG) response remains unclear. We evaluated this question within a ...
SiliconANGLE

Synthetic data and AI: The path to next-gen machine learning

Defined by the powerful keynote highlighting the breakthrough partnership between Amazon Web Services Inc. and Nvidia Corp., there’s been a surge in the demand for powerful generative artificial ...
eWeek

9 Best Synthetic Data Software

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Nextgov

Agencies eye synthetic data to help train and test AI

The Department of Homeland Security and Chief Data Officers Council put out calls recently for products and insight on synthetic data generation. Government agencies are on the hunt for vendors and ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Forbes

Revolutionizing AI Training With Synthetic Data

The foundation of any successful AI model lies in the quality and abundance of data. Yet even with breakthroughs in AI algorithms such as GPT-4, Anthropic and Mistral, organizations often struggle ...

New Study on Synthetic Data-Driven Sub-surface Anomaly Detection by VE3 AI Research

VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...
Statetechmagazine

Synthetic Data Supports State and Local Government AI Initiatives

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Artificial Intelligence has the potential to transform a range of ...
techtimes

MIT Researchers Use Synthetic Imagery to Train Machine Learning Models

MIT researchers are pioneering a novel approach to train machine learning models by utilizing synthetic imagery, surpassing the efficacy of traditional methods relying on real images. The key to this ...
University of Geneva

Precision medicine’s inevitable trajectory toward rare-disease-sized cohorts: implications for machine learning and deep learning

As patients are divided into ever more narrowly defined subgroups, the number of individuals available for research shrinks dramatically. While this approach improves personalization, it also creates ...