Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
IEEE

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis

Abstract: Functional MRI (fMRI) and single-cell transcri ptomics are pivotal in Alzheimer’s disease (AD) research, each providing unique insights into neural function and molecular mechanisms. However ...
Hacker

Loops, Conditionals & AutoGraph: Writing Graph-Friendly TensorFlow Code

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach TensorFlow ops like tf.cond and tf.while_loop continue to work, but control flow ...
GitHub

Python Spatial Analysis Library

PySAL, the Python spatial analysis library, is an open source cross-platform library for geospatial data science with an emphasis on geospatial vector data written in Python. It supports the ...
Frontiers

Graph learning for particle accelerator operations

Particle accelerators play a crucial role in scientific research, enabling the study of fundamental physics and materials science, as well as having important medical applications. This study proposes ...
GitHub

Graph Contrastive Learning with Cohesive Subgraph Awareness

Our research paper has been accepted to The Web Conference 2024. . ├─ framework.png ├─ get_sub_counts.py ├─ main.py ├─ README.md │ ├─ CTAug │ ├─ evaluate.py │ ├─ model.py │ ├─ preprocess.py │ ├─ utils ...
InfoWorld

What is Python? Powerful, intuitive programming

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...