AI is used in process automation to automate repetitive and manual tasks, streamline workflows, and improve operational efficiency. It employs machine learning algorithms and robotic process automation (RPA) to analyze and mimic human actions, enabling the automation of complex business processes and freeing up human resources for higher-value tasks.
Researchers introduced Rainbow, an open-source Voice User Interface (VUI) designed for scientific laboratories, addressing the limitations of conventional assistants in recognizing specialized scientific vocabulary. Rainbow achieved a remarkable 91.3% speech recognition accuracy, outperforming commercial counterparts and demonstrating its potential in enhancing laboratory processes through intuitive voice control.
Researchers delve into the transformative potential of Intelligent Reflecting Surfaces (IRSs) within 6G wireless networks, presenting a model that enhances communication efficiency and energy conservation. A case study involving smart ocean transportation illustrates the advantages of using IRSs, offering real-world insights into their practical implementation for Industry 5.0 applications.
Manufacturing companies are embracing AI and IoT technologies to revolutionize their operations, achieve sustainability goals, and remain competitive. The implementation of smart configurations, such as digital twins, sensors, 5G networks, and advanced ML models, enables real-time monitoring, analysis, and optimization of production processes.
Researchers explore automation in digital forensics and the challenges, considerations, and perspectives surrounding automation adoption.
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