IEEE

Data-Driven Innovation: A Literature Review, Conceptual Framework, and Research Agenda

Abstract: We systematically review the data-driven innovation (DDI) literature spanning 2009–2022, analyzing key studies, assessing the current state of DDI research in information systems and ...
搜狐

Making AI Truly Capable of Research: Tongyi DeepResearch Model, Framework, and Solutions Fully Open-Sourced

On September 17, IT Home reported that Alibaba's Tongyi Laboratory announced today that in order to enable AI to truly possess the capability of "doing research," systematic innovations have been made ...
The Lancet

Artificial intelligence and infectious diseases: an evidence-driven conceptual framework for research, public health, and clinical practice

cNational PhD Programme in One Health approaches to infectious diseases and life science research, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy ...
IEEE

A Perceptual Distortion Reduction Framework: Towards Generating Adversarial Examples with High Perceptual Quality and Attack Success Rate

Abstract: Most of the transfer-based adversarial attack methods suffer from large perceptual distortions, i.e., visible artifacts, when the attack success rate is relatively high. It is worth noting ...