Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.

Existing detection methods, largely based on Convolutional Neural Networks (CNNs), focus primarily on ... to-detect samples and processes them through a Graph Convolutional Network (GCN) to capture ...

A research team led by Prof. Gao Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid ...

Australian startup Cortical Labs has launched what it's calling the "world’s first code deployable biological computer." ...

Google says it's found a sweet spot between power and efficiency by employing the 'distillation' of neural nets.

AI models are growing ever-more capable, accurate and impressive. The question of if they represent “general intelligence” is increasingly moot.

Arista Networks (NYSE:ANET) saw a 10% decline in its share price over the past week despite reporting a robust increase in its full-year revenue and net income. The company's significant buyback ...

In recent years, skeleton sequence is always modeled as a graph structure, and Graph Convolution Network (GCN) is employed to extract spatial and temporal features of actions. Though GCN has obtained ...

GraphPro is a versatile and pluggable OO python library designed for leveraging deep graph learning representations to gain insights into structural proteins and ...

Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23) ...