Results 41 to 50 of about 209,152 (323)

A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming [PDF]

Electronic Proceedings in Theoretical Computer Science, 2019
Recent successes of Reinforcement Learning (RL) allow an agent to learn policies that surpass human experts but suffers from being time-hungry and data-hungry.
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson   +3 more
doaj   +1 more source

A Thermodynamic 3D Model for the Simulation of Diffusion‐Controlled Alloying Processes in Heterogeneous Material Structures

Advanced Engineering Materials, EarlyView.
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer, Leonhard Holländer, André Langohr, Hans Jürgen Maier   +3 more
wiley   +1 more source

Artificial intelligence for quantum computing

Nature Communications
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas.
Yuri Alexeev, Marwa H. Farag, Taylor L. Patti, Mark E. Wolf, Natalia Ares, Alán Aspuru-Guzik, Simon C. Benjamin, Zhenyu Cai, Shuxiang Cao, Christopher Chamberland, Zohim Chandani, Federico Fedele, Ikko Hamamura, Nicholas Harrigan, Jin-Sung Kim, Elica Kyoseva, Justin G. Lietz, Tom Lubowe, Alexander McCaskey, Roger G. Melko, Kouhei Nakaji, Alberto Peruzzo, Pooja Rao, Bruno Schmitt, Sam Stanwyck, Norm M. Tubman, Hanrui Wang, Timothy Costa   +27 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

Power Requirements Evaluation of Embedded Devices for Real-Time Video Line Detection

Energies, 2023
In this paper, the comparison of the power requirements during real-time processing of video sequences in embedded systems was investigated. During the experimental tests, four modules were tested: Raspberry Pi 4B, NVIDIA Jetson Nano, NVIDIA Jetson ...
Jakub Suder, Kacper Podbucki, Tomasz Marciniak   +2 more
doaj   +1 more source

Developing performance-portable molecular dynamics kernels in Open CL [PDF]

, 2012
This paper investigates the development of a molecular dynamics code that is highly portable between architectures. Using OpenCL, we develop an implementation of Sandia’s miniMD benchmark that achieves good levels of performance across a wide range of ...
Jarvis, Stephen A., Pennycook, Simon J.
core   +1 more source

Edge Computing-Driven Real-Time Drone Detection Using YOLOv9 and NVIDIA Jetson Nano

Drones
Drones, with their ability to vertically take off and land with their stable hovering performance, are becoming favorable in both civilian and military domains. However, this introduces risks of its misuse, which may include security threats to airports,
Raj Hakani, Abhishek Rawat
semanticscholar   +1 more source

Sources of Single Event Effects in the NVIDIA Xavier SoC Family under Proton Irradiation

IEEE International Symposium on On-Line Testing and Robust System Design, 2022
In this paper we characterise two embedded GPU devices from the NVIDIA Xavier family System-on-Chip (SoC) using a proton beam. We compare the NVIDIA Xavier NX and Industrial devices, that respectively target commercial and automotive applications.
Ivan Rodriguez-Ferrandez, M. Tali, Leonidas Kosmidis, M. Rovituso, D. Steenari   +4 more
semanticscholar   +1 more source

Real‐Time 3D Ultrasound Imaging with an Ultra‐Sparse, Low Power Architecture

Advanced Healthcare Materials, EarlyView.
This article presents a novel, ultra‐sparse ultrasound architecture that paves the way for wearable real‐time 3D imaging. By integrating a unique convolutional array with chirped data acquisition, the system achieves high‐resolution volumetric scans at a fraction of the power and hardware complexity.
Colin Marcus, Md Osman Goni Nayeem, Aastha Shah, Jason Hou, Shrihari Viswanath, Maya Eusebio, David Sadat, Anantha P. Chandrakasan, Tolga Ozmen, Canan Dagdeviren   +9 more
wiley   +1 more source

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