The future of urban green space might be written in code, according to research in the International Journal of ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Formula 1 teams live in a world where a single misjudged flick of carbon fiber can decide a championship. Aerodynamicists are ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The publication unveiled its annual selection of the most significant scientific and technological breakthroughs from the ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Companies across sectors have invested in AI at some of their new manufacturing sites. AI can help to increase production, predict machine breakdowns, and forecast demand. This article is part of "How ...