No Jitter

Synthetic data tool from SAS is now generally available

The business analytics company’s new Data Maker allows organizations to create synthetic data for AI training.

Cultivating An AI Fluency Mindset With Agentic AI

Agentic AI requires AI fluency, value orchestration and building guardrails. Business functions change from building to ...
Opinion
The LancetOpinion

Synthetic data, synthetic trust: navigating data challenges in the digital revolution

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
IEEE

Semi-Supervised Triple-GAN With Similarity Constraint for Automatic Underground Object Classification Using Ground Penetrating Radar Data

Abstract: Automatic underground object classification based on deep learning (DL) has been widely used in ground penetrating radar (GPR) fields. However, its excellent performance heavily depends on ...
IEEE

JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation

Abstract: The emergence of Large Language Models (LLMs) has revolutionized natural language processing (NLP), enabling remarkable advancements across various applications. However, these models remain ...
GitHub

SyGra: Graph-oriented Synthetic data generation Pipeline

Framework to easily generate complex synthetic data pipelines by visualizing and configuring the pipeline as a computational graph. LangGraph is used as the underlying graph configuration/execution ...
ascopubs.org

Longitudinal Synthetic Data Generation by Artificial Intelligence to Accelerate Clinical and Translational Research in Breast Cancer

Reasoning Models for Text Mining in Oncology: A Comparison Between o1 Preview, GPT-4o, and GPT-5 at Different Reasoning Levels A data set of 1052 patients with human epidermal growth factor receptor 2 ...