Results 71 to 80 of about 76,158 (290)
Canny edge detection on NVIDIA CUDA [PDF]
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
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Parameters of performance: A deep dive into liquid-to-air CDU assessment
The rapid growth in data center workloads and the increasing complexity of modern applications have led to significant contradictions between computational performance and thermal management.
Ali Heydari +8 more
doaj +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
PRO-GO: Reference-Guided Protein Sequence Generation Using Gene Ontology Terms
Protein sequence generation models aim to produce valid protein candidates on demand, however, controllably generating protein sequences with specified target functionalities remains difficult.
Darren Tan +5 more
doaj +1 more source
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich +4 more
wiley +1 more source
Realtime signal processing on NVIDIA TX2 using CUDA
In our presentation, we will focus on low latency real-time signal processing on NVIDIA Jetson TX2. Originally designed for image processing, the Jetson TX2 incorporates a vast amount of embedded GPU processing power. However, it has not been widely used
Weiss, Armin +2 more
core +2 more sources
Hardware acceleration of ray tracing is an active research field, but only with the release of Nvidia Turing architecture GPUs it became widely available. Nvidia RTX is a proprietary hardware ray tracing acceleration technology available in Vulkan and DirectX APIs as well as through Nvidia OptiX.
Alexey Voloboy +3 more
openaire +1 more source
NVIDIA/cuQuantum: cuQuantum v22.07.0
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

