China

Researchers From Nankai and Stanford Propose ‘DeepDrug’: A Python Based Deep...

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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...

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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...

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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...

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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...

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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...

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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...

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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...

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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...

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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

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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...