Frontiers

Nature-Inspired Molecules from Complex Plant Matrices: From Phytochemical Profiling to Bioactivity

Natural products research is undergoing a major transformation, moving from the simple identification of plant constituents toward understanding the ...
The Next Platform

Optical Scale Up Fabrics Are Limited By Manufacturing, Not Architecture

Earlier this spring, AMD, Broadcom, Meta Platforms, Microsoft, Nvidia, and OpenAI formed the Optical Compute Interconnect ...
GitHub

pymuvera — MUVERA + EGGROLL + Spectral SimHash: Fixed Dimensional Encodings for Multi-Vector Retrieval

v0.4.2 documents CALIBRATED_EIGENBASIS as an experimental SpectralQuant-inspired FDE/LSH adaptation, adds explicit SpectralQuant attribution, and calls out the main Eigenbasis reconstruction-risk ...
PNAS

A spectral machine learning approach to derive central aortic pressure waveforms from a brachial cuff

Mapping peripheral to central pressure waveforms offers a promising approach for noninvasive assessment of the aortic pressure waveform. Traditional methods rely on population-based averaging, which ...
Scientific Research Publishing

An Explainable Wavelet-Based Feature Decomposition and Machine Learning Framework for Land Cover Classification ()

1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...
Frontiers

3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal

Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation. They are easy to use and do not require surgery, particularly in the area of motor imagery ...