With artificial intelligence (AI) transforming industries around the world at lightning speed, the need for experts in the field has shot through the roof. For ...

A research team from the Skoltech AI Center proposed a new neural network architecture for generating structured curved ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

[COM6012 Scalable Machine Learning **2025**](https://github.com/COM6012/ScalableML) by Tahsin Khan at The University of Sheffield, 20th March 2025. ## Study schedule ...

Abstract: Reconfigurable optical add-drop multiplexers (ROADMs) based on wavelength selective switches (WSSs) serve as the cornerstone for dynamic signal routing in all-optical networks ... twin ...

The underlying complexity of biology necessitates the development of efficient algorithms, knowledge representation methods, visualization techniques, data formats, and computational tools to observe ...

How alterations in cell metabolism translate into specific developmental gene programs remains a major question. This study ...