Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
When students entered Tsinghua University in Beijing this year, one of the first representatives they met wasn’t a person.
Electronic health record (EHR) adoption was driven, in part, by a recognition of the power of data. Given the complexities of healthcare ...
Some of today’s most capable AI systems are refined versions of large language models (LLMs) that predict text on the basis ...
Abstract: Real-world sensing challenges such as sensor failures, communication issues, and power constraints lead to data intermittency. An issue that is known to undermine the traditional ...
Abstract: This lagtime intelligence framework is a premise for real-time data processing in IoT settings. It solves the dilemma of latency, bandwidth consumption, and data privacy via hierarchical ...
With the rapid advancement of robotics, intelligent sensing, and autonomous decision-making, robotic and AI systems are increasingly influencing human life ...
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