Theoretical model of a graphene-assisted biosensor shows promise for non-invasive oral cancer detection, with high refractive ...

Enterprise AI is at an inflection point. What began with centralized, cloud-scale large language models (LLMs) is moving ...

In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Laser pulses fired from a research aircraft over Panama cut through dense tropical canopy and reached the forest floor, ...

OpenDDE is a preview release. CLI flags, input/output JSON fields, and released checkpoints may change between versions, and predictions are not guaranteed to be reproducible across releases. It is ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: In order to improve the performance of two-dimensional (2-D) direction-of-arrival (DOA) estimation, an L-shaped sparse array structured by two new sparse linear arrays is proposed. Each part ...

Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The ...

Abstract: Subspace learning has been widely applied for feature extraction of hyperspectral images (HSIs) and achieved great success. However, the current methods still leave two problems that need to ...

Chinese scientists have shattered long-held beliefs about certain three-dimensional crystals by discovering and controlling ultratiny "linear" walls inside them, whose thickness and width are around ...