Results 31 to 40 of about 55,056 (264)

Predicting blood–brain barrier permeability of molecules with a large language model and machine learning

Scientific Reports
Predicting the blood–brain barrier (BBB) permeability of small-molecule compounds using a novel artificial intelligence platform is necessary for drug discovery.
Eddie T. C. Huang, Jai-Sing Yang, Ken Y. K. Liao, Warren C. W. Tseng, C. K. Lee, Michelle Gill, Colin Compas, Simon See, Fuu-Jen Tsai   +8 more
doaj   +1 more source

The NVIDIA AI City Challenge

2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2017
Web image analysis has witnessed an AI renaissance. The ILSVRC benchmark has been instrumental in providing a corpus and standardized evaluation. The NVIDIA AI City Challenge is envisioned to provide similar impetus to the analysis of image and video data that helps make cities smarter and safer. In its first year, this Challenge has focused on traffic
Milind Naphade, David C. Anastasiu, Anuj Sharma 0001, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Jerry Zeyu Gao   +8 more
openaire   +3 more sources

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales

Journal of Advances in Modeling Earth Systems
Data assimilation of observations into full atmospheric states is essential for weather forecast model initialization. Recently, methods for deep generative data assimilation have been proposed which allow for using new input data without retraining the ...
Peter Manshausen, Yair Cohen, Peter Harrington, Jaideep Pathak, Mike Pritchard, Piyush Garg, Morteza Mardani, Karthik Kashinath, Simon Byrne, Noah Brenowitz   +9 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

DeepSAP: improved RNA-seq alignment by integrating transcriptome guidance with transformer-based splice junction scoring

Genome Biology
Advancements in high-throughput sequencing have revolutionized transcriptomics, enabling insights into gene expression, splicing, and fusions. However, RNA-seq analysis remains challenging due to complex splice junctions, multi-mapped reads, and chimeric
Fadel Berakdar, Thomas D. Wu, Tong Zhu, Mehrzad Samadi, Pankaj Vats   +4 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

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

Meeting the challenge of JUNO simulation with Opticks: GPU optical photon acceleration via NVIDIA® OptiXTM [PDF]

EPJ Web of Conferences, 2020
Opticks is an open source project that accelerates optical photon simulation by integrating NVIDIA GPU ray tracing, accessed via NVIDIA OptiX, with Geant4 toolkit based simulations.
Blyth Simon
doaj   +1 more source

Canny edge detection on NVIDIA CUDA [PDF]

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
The Canny edge detector is a very popular and effective edge feature detector that is used as a pre-processing step in many computer vision algorithms. It is a multi-step detector which performs smoothing and filtering, non-maxima suppression, followed by a connected-component analysis stage to detect ldquotruerdquo edges, while suppressing ...
Yuancheng Luo, Ramani Duraiswami
openaire   +1 more source