Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
NEW YORK--(BUSINESS WIRE)--Eight Sleep, the world’s first sleep‑fitness company, today announced it has raised $100 million in new funding to accelerate the company’s vision of transforming the bed ...
ABSTRACT: Backgrounds: The impact of digital image steganography (stego) and crypto-steganography (crypto-stego) on network performance has not been adequately examined. The major objective of this ...
Background and objective: The increasing global prevalence of diabetes has led to a surge in complications, significantly burdening healthcare systems and affecting patient quality of life. Early ...
1 Department of Mechanical and Process Engineering (D-MAVT), Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland 2 CREATE Lab, École Polytechnique Fédérale de Lausanne (EPFL), ...
Abstract: In this study, we present an initial experimental design for Bayesian optimization (BO) applied to the semiconductor process development. For efficient BO, it can be effective to draw ...
Application modernization isn’t a one-time project but an ongoing commitment to innovation. Here’s how to get started. In today’s digital-first economy, businesses face relentless pressure to innovate ...
Abstract: Haze removal is essential for improving image visibility in applications like autonomous vehicles and surveillance. While models like GridDehazeNet enhance dehazing performance, our research ...