Researchers From Nankai and Stanford Propose ‘DeepDrug’: A Python Based Deep...
Drug discovery includes looking for biomedical connections between chemical compounds (drugs, chemicals) and protein targets. Drugs interact with biological systems on a fundamental level...
USTC Researchers Introduce A Recursively Embedded Atom Neural Network (REANN) Model...
Machine Learning has been extensively used in developing accurate interatomic potentials based on initial data of the given chemical system. Atomic Neural Networks(ANN) have...
Arch-Net: A Family Of Neural Networks Built With Operators To Bridge...
The computation power of Deep Neural Networks is a major challenge to their real-world applications. New developments in the field are outpacing the recent...
AI Researchers From ShanghaiTech and UC San Diego Introduce SofGAN: A...
Researchers in Shanghai and the United States have created a GAN-based portrait creation system that lets users build new faces with previously unattainable levels...
Researchers Introduce A Novel Human-Like Driving And Decision Making Framework Designed...
In the last years, we assisted to a great hype around autonomous vehicles (AVs). However, if we want to see streets where AVs and...
Researchers Open-Source ‘TorchDrug’: A PyTorch-Based Machine Learning Platform Designed For Drug...
From drug findings to clinical trials, drug discovery is a long and costly process, taking on average 10 years and $2.5 billion to develop...
EventDrop, A Method To Augment Asynchronous Event Data And Limit The...
Event sensors are bio-inspired devices that imitate the brain's efficient event-driven communication mechanisms. In contrast to conventional sensors, which capture the scene synchronously at...
Bytedance Researchers Propose CLIP-GEN: A New Self-Supervised Deep Learning Generative Approach...
This Article Is Based On The Research Paper 'CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP'. All Credit For This Research Goes To...
Researchers Compare Deep Learning (DL) Algorithms For Diagnosing Bacterial Keratitis via...
Viral keratitis, bacterial keratitis, fungal keratitis, and parasitic keratitis are all types of infectious keratitis. Bacterial Keratitis (BK) is a kind of Infectious Keratitis...
ByteDance Proposes An Impressive Multi-Object Tracking Architecture
Multi-object tracking (MOT) involves identifying and following objects as they move about in videos. Currently, available methods obtain identities by associating detection boxes whose...