Abstract: Operational metrics for Machine Learning Systems (MLSystems) are crucial for maintaining consistent performance in real-world applications. However, achieving this reliability is challenging ...

Abstract: In this paper, a reconfigurable intelligent surface(RIS)-assisted millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) communication system is considered, where the RIS is ...

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In today’s highly competitive exam environment, general knowledge and current affairs play a decisive role in determining final rankings. Whether it is UPSC, SSC, Banking, Railways, Defence exams, or ...

Of the more than 800 million regular users of ChatGPT, 1 in 4 submits a prompt about healthcare every week, according to OpenAI. More than 40 million turn to ChatGPT every day with healthcare ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

This research presents a mathematical model of medical decision support systems that combines the predictive approach of machine learning with the deductive approach of expert systems. This modeling ...

Lubrication-free linear guides reduce maintenance and meet low-fogging standards, ideal for space- and weight-sensitive applications. Integrated servo linear actuators offer precise positioning with ...

During Machine Design’s Motion Systems Takeover Week (Oct. 20–24, 2025), we explored how the fusion of mechanical motion and data-driven control is reshaping high-precision applications across ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...