Unlocking the Power of Generalizable Tabular Models with Synthetic Priors Tabular data drives vital decisions across sectors like healthcare, finance, and retail, but most machine learning solutions for these datasets are narrowly optimized and lack broad applicability. Tod... AutoGluon benchmarking foundation models in-context learning machine learning synthetic data tabular data
GenSeg For Medical Image Segmentation in Low-Data Environments Medical image semantic segmentation is a fundamental process in modern healthcare, crucial for applications such as diagnosing diseases, tracking disease progression, planning treatments, and assistin... AI segmentation data efficiency deep learning generative models healthcare AI medical imaging synthetic data
Promptomatix Automates and Democratizes Prompt Engineering for LLMs As large language models (LLMs) become central to artificial intelligence, the challenge of crafting effective prompts remains a major hurdle. Manual prompt engineering is often slow, resource-intensi... accessibility AI frameworks automation cost optimization LLMs prompt engineering synthetic data
Invisible Watermarks Secure Synthetic Tabular Data in the Age of Generative AI Generative AI is transforming how businesses access and use data, especially in sensitive industries where using real customer information is restricted. Synthetic tabular data, AI-generated tables th... AI security data attribution diffusion models generative AI synthetic data tabular data watermarking
How Event Cameras and Deep Learning Are Revolutionizing Non-Contact Sound Recovery Listening Without Touch: The Future of Sound Recovery Can you recover private conversations from the vibrations of a chip bag? This concept was once limited to science fiction, but is now becoming rea... audio analysis deep learning event cameras machine learning sound recovery surveillance synthetic data