Meta launches image generation model with coding, search capabilities

Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Frontiers

Machine learning model based on dual-layer detector spectral CT radiomics features for differentiating luminal and non-luminal breast cancer

This study aims to explore the value of a machine learning (ML) model based on dual-layer detector spectral CT (DLCT) radiomic features in predicting Luminal versus non-Luminal breast cancer (BC). A ...
GitHub

SparkFun Qwiic AS7343 - Python Package

The SparkFun Qwiic Multi-Spectral Sensor AS7343 Module provides a simple and cost effective solution for adding Multi-Spectral Sensor capabilities to your project. Implementing a SparkFun Qwiic I2C ...
GitHub

ASK-Berkeley/Neural-Spectral-Methods

This repo contains the JAX implementation of our ICLR 2024 paper, Neural Spectral Methods: Self-supervised learning in the spectral domain. Yiheng Du, Nithin ...
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 ...
C&EN

Introducing SpectraFit: An Open-Source Tool for Interactive Spectral Analysis

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In chemistry, analyzing spectra through peak fitting is a crucial task that helps ...