Results 41 to 50 of about 66,359 (302)
NVIDIA/cuQuantum: cuQuantum v22.05.0
, 2022 Documentation and full release notes for all versions are located here: https://docs.nvidia.com/cuda/cuquantum/index ...
sam-stanwyck +3 more
core +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 +6 more
wiley +1 more source
Scientific DataHuman 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 +8 more
doaj +1 more source
ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures
IEEE Open Journal of the Computer SocietyVision 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 +3 more
doaj +1 more source
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 +3 more
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
An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor
Advanced Robotics Research, EarlyView.Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu +7 more
wiley +1 more source
Visual IntelligenceThe 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 +4 more
doaj +1 more source
Learning Radio Environments by Differentiable Ray Tracing
IEEE Transactions on Machine Learning in Communications and NetworkingRay tracing (RT) is instrumental in 6G research in order to generate spatially-consistent and environment-specific channel impulse responses (CIRs).
Jakob Hoydis +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 +3 more
doaj +1 more source