Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

MathWorks expert Seth DeLand explains how AI automation frees engineers to focus on higher-level creative problem-solving.

Abstract: This research develops and evaluates an innovative dynamic visual design system that integrates real-time rendering technology, AI-assisted features, and an intuitive user interface. Through ...

Thanks to computer numerical control (CNC) fabrication technologies, the method may also be applied to design-laminated timber gridshells. Credit: ©2025 Masaaki Miki and Toby Mitchell CC-BY-ND A new ...

A new technical paper titled “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell University. “Large input context windows ...

A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published by researchers at Georgia Institute of Technology, National Tsing Hua ...

This is the second installment in my series offering a deep dive into data strategy for connected medical devices. In the first article, I set the scene by outlining why understanding data strategies ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...

Abstract: Escape routing is a critical problem in printed circuit board (PCB) routing, and its quality dramatically affects the cost of the PCB design. Unlike the traditional escape routing that works ...