Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
The AI Awards is accepting entries from companies worldwide working in AI. Those looking to submit their projects ...
Explore the evolution of Security Information and Event Management (SIEM) as it integrates AI and machine learning to enhance ...
Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.
Edge MLIR HLS framework.” Abstract “Driven by the increasing demand for low-latency and real-time processing, machine ...
The University of Louisiana at Lafayette unveils a new PhD blending AI, data science and leadership, with online and ...
The devices are located closest to the many sensors at the edge that gather sensor data, control motors, trigger alarms and actuators, and more.
Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...
Company collaborating with third parties using "proprietary artificial intelligence and machine learning technologies to identify nonspecific responses and understand and predict susceptibility to ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
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