Low-code platforms now power enterprise applications at the speed and agility that traditional development cannot match. Yet adoption in healthcare, finance and government is cautious—not for lack of ...
We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...
The deployment of Spiking Neural Networks (SNNs) on resource-constrained edge devices is hindered by a critical algorithm-hardware mismatch: a fundamental trade-off between the accuracy degradation ...
I noticed that the Graph Algorithms section does not yet include the interactive and educational features that were recently introduced in the Sorting Algorithms page I would like to contribute by ...
Abstract: Sensing-assisted communication schemes have recently garnered significant research attention. In this work, we design a dual-function reconfigurable intelligent surface (RIS), integrating ...
What if your coding assistant could do more than just write lines of code? Imagine it stepping into the role of a full-fledged UI designer, creating polished, responsive, and accessible interfaces ...
Reflecting changing currents in engineering design and material availability, the American Concrete Institute has updated its 318 standard to ACI 318-25, with a new sustainability guide and updated ...
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 ...
Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...
Abstract: In this survey, we introduce Meta-Black-Box-Optimization (MetaBBO) as an emerging avenue within the Evolutionary Computation (EC) community, which incorporates Meta-learning approaches to ...