Knowing a little more about how biological vision works can help students to recognize what’s behind the arc of computer ...

Abstract: Recent advancements in Graph Neural Networks (GNNs) show promise for various applications like social networks and financial networks. However, they exhibit fairness issues, particularly in ...

In a development for artificial intelligence, researchers have unveiled a synaptic device array that shows promise for ...

What is deep learning? Deep learning is a type of machine learning that uses deep neural networks with multiple layers—often hundreds or thousands—to process data and make dec ...

A PyG re-implementation of NBFNet can be found here. You may install the dependencies via either conda or pip. Generally, NBFNet works with Python 3.7/3.8 and PyTorch ...

In a development for artificial intelligence, researchers have unveiled a 28×28 synaptic device array that promises to ...

Immutable X:Immutable X transforms the gaming and NFT space with zero gas fees and instant trades. Polygon:One of the top Ethereum layer 2 projects for 2024, known for its robust and scalable ...

One possible solution is visual detection, which can be performed using inexpensive cameras, but it is a computationally intensive task. This paper deals with the use of a special family of ...

Introduction The manufacturing sector has long been at the forefront of technological adoption, with artificial intelligence playing a pivotal role in driving operational excellence over the past ...

This study demonstrates the critical role of Afadin on the generation and maintenance of complex cellular layers in the mouse retina. The data are solid, which provides important insights into how ...