Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

A group of five to six giant pythons was spotted near a temple in Kangra district, Himachal Pradesh Locals initially mistook the coiled snakes for tree roots before noticing movement after a stone was ...

Abstract: We present a Golden-Model-free framework for hardware Trojan (HT) detection that treats temperature not as noise to remove but as physical context that organizes electromagnetic (EM) ...

Methods: We conducted a 12-month cluster randomized controlled trial from May 2021 to December 2022 across 6 primary health care settings in China. Guided by the theory of planned behavior, the ...

Abstract: The researchers focus on the security issues of underwater wireless sensor networks (UWSNs) due to the specificity of network environment. In recent years, researchers have proposed trust ...

🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. Our vision is to revolutionize how AI agents ...

The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...