While nature has evolved enzymes to carry out a vast array of chemical transformations, selecting the ideal protein to initiate an enzyme engineering campaign often presents a significant challenge, ...

Abstract: Sound source localization aims to localize objects emitting the sound in visual scenes. Recent works obtaining impressive results typically rely on contrastive learning. However, the common ...

well there are some awesome-lists for word embeddings and sentence embeddings, but all of them are outdated and more importantly incomplete this repo will also be incomplete, but I'll try my best to ...

Neurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable in vivo using T1-weighted MRI scans.

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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Deep learning in medical imaging has the potential to minimize the risk of diagnostic errors, reduce radiologist workload, and accelerate diagnosis. Training such deep learning models requires large ...

I hope you had a successful start to the new year, as did AI and deep learning research. In this edition of Ahead of AI #5, I wanted to showcase recent advancements in computer vision rather than ...

In deep learning, the standard approach to accommodate changing task demands is to train new output layers on top of a common trunk network, and, if needed, to relearn synapses throughout the whole ...

Molecular machine learning bears promise for efficient molecular property prediction and drug discovery. However, labelled molecule data can be expensive and time consuming to acquire. Due to the ...