Results 31 to 40 of about 55,120 (264)

Improving protein-ligand complex generation with force field guidance

Journal of Cheminformatics
Generative models based on diffusion and flow matching have recently been applied to structure-based drug design, but their outputs often include unrealistic protein–ligand interactions that do not obey the laws of physics.
Helen Lai, Tingyu Wang, Hassan Sirelkhatim, Joe Eaton, Howard Huang, Brad Rees, Ola Engkvist, Jon Paul Janet, Xiaoyun Wang, Alessandro Tibo   +9 more
doaj   +1 more source

Lightweight Fruit-Detection Algorithm for Edge Computing Applications

Frontiers in Plant Science, 2021
In recent years, deep-learning-based fruit-detection technology has exhibited excellent performance in modern horticulture research. However, deploying deep learning algorithms in real-time field applications is still challenging, owing to the relatively
Wenli Zhang, Yuxin Liu, Kaizhen Chen, Huibin Li, Huibin Li, Yulin Duan, Yulin Duan, Wenbin Wu, Wenbin Wu, Yun Shi, Yun Shi, Wei Guo   +11 more
doaj   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

Folding the human proteome using BioNeMo: A fused dataset of structural models for machine learning purposes

Scientific Data
Human proteins are crucial players in both health and disease. Understanding their molecular landscape is a central topic in biological research. Here, we present an extensive dataset of predicted protein structures for 42,042 distinct human proteins ...
Michael Hetmann, Lena Parigger, Hassan Sirelkhatim, Abraham Stern, Andreas Krassnigg, Karl Gruber, Georg Steinkellner, David Ruau, Christian C. Gruber   +8 more
doaj   +1 more source

ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures

IEEE Open Journal of the Computer Society
Vision Transformers are being increasingly deployed in safety-critical applications that demand high reliability. Ensuring the correct execution of these models in GPUs is critical, despite the potential for transient hardware errors.
Haoxuan Liu, Vasu Singh, Michal Filipiuk, Siva Kumar Sastry Hari   +3 more
doaj   +1 more source

Accelerating genomic workflows using NVIDIA Parabricks

BMC Bioinformatics, 2023
Background As genome sequencing becomes better integrated into scientific research, government policy, and personalized medicine, the primary challenge for researchers is shifting from generating raw data to analyzing these vast datasets.
Kyle A. O’Connell, Zelaikha B. Yosufzai, Ross A. Campbell, Collin J. Lobb, Haley T. Engelken, Laura M. Gorrell, Thad B. Carlson, Josh J. Catana, Dina Mikdadi, Vivien R. Bonazzi, Juergen A. Klenk   +10 more
doaj   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Review on synergizing the Metaverse and AI-driven synthetic data: enhancing virtual realms and activity recognition in computer vision

Visual Intelligence
The Metaverse’s emergence is redefining digital interaction, enabling seamless engagement in immersive virtual realms. This trend’s integration with AI and virtual reality (VR) is gaining momentum, albeit with challenges in acquiring extensive human ...
Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Simon See   +4 more
doaj   +1 more source

Learning Radio Environments by Differentiable Ray Tracing

IEEE Transactions on Machine Learning in Communications and Networking
Ray tracing (RT) is instrumental in 6G research in order to generate spatially-consistent and environment-specific channel impulse responses (CIRs).
Jakob Hoydis, Faycal Ait Aoudia, Sebastian Cammerer, Florian Euchner, Merlin Nimier-David, Stephan Ten Brink, Alexander Keller   +6 more
doaj   +1 more source

Datasets from the evaluation of the adoption and use of digital technologies in China museums

Data in Brief, 2019
The datasets described in this article were collected as a result of 5 months of funded study, carried out between 23rd January 2017 and 30th May 2017 within China.
Eugene Ch'ng, Shengdan Cai, Fui-Theng Leow, Tong Evelyn Zhang   +3 more
doaj   +1 more source