Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods design algorithms within ...

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 ...

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 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 ...

Microsoft is continuing to build out its Copilot feature set for Microsoft 365, and this time, it’s PowerPoint that’s getting a helpful AI upgrade. After recently raising the price of Microsoft 365 ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...

A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference” was published by researchers at Georgia Tech, TSMC and National Tsing Hua ...

Large language models (LLMs) have seen rapid advancements, making significant strides in algorithmic problem-solving tasks. These models are being integrated into algorithms to serve as ...

OptoGPT is a new algorithm that harnesses the computer architecture underpinning ChatGPT. Its creators say that it will enable researchers and engineers to design optical multilayer film structures ...