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 ...

Explore the evolution of Security Information and Event Management (SIEM) as it integrates AI and machine learning to enhance ...

Edge MLIR HLS framework.” Abstract “Driven by the increasing demand for low-latency and real-time processing, machine ...

The AI Awards is accepting entries from companies worldwide working in AI. Those looking to submit their projects ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

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.

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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The University of Louisiana at Lafayette unveils a new PhD blending AI, data science and leadership, with online and ...

TD Cowen initiates Buy rating projecting 70% annual growth to $135M by 2028 as quantum systems gain enterprise adoption.

AI has fundamentally altered how teams think about mobile software, moving the focus from feature accumulation to long-term ...

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...