AI-powered facial and object recognition Image and video analytics for surveillance and automation Defect detection and quality control in manufacturing AI-Powered Chatbots & Virtual Assistants Our custom artificial intelligence development services include advanced AI chatbots and virtual assistants that stre...
The approach reduces data transfer loads by leveraging edge computing for initial processing and cloud computing for deeper analysis and supports autonomous marine biodiversity monitoring. The paper evaluates object detection models, including YOLOv3 and ULO, on an edge device, showing key trade-offs ...
The above cell quantization strategy could discover metacells by learning a discrete codebook. However, it might encounter the error accumulation problem. Specifically, active entries frequently used to quantize cells would be optimized more often, increasing their likelihood of being selected for quantizi...
Jonathan Eckstein, William E Hart, and Cynthia A Phillips. PEBBL: An object- oriented framework for scalable parallel branch and bound. Mathematical Program- ming Computation, pages 1-41, 2013.Eckstein, J., Phillips, C.A., Hart, W.E.: PEBBL: An object-oriented framework for scalable ...
The section of intelligence are created for those who work with data and machine learning at big (data) and deep (learning) scale. If your system goes down "Even if you lose all one day, you can build all over again if you retain your calm!" - Thuan Pham, former CTO of Uber. So...
provides an optimal bound of streaming performance in a fully-connected P2P network, for a video object that is uniformly coded. PROMISE [25] presents CollectCast, a P2P service for media streaming. Based on the working status of peers, it dynamically switches active senders and standby senders...
DDR5 memory helps move data fast for object recognition and analytics workloads. Healthcare: Support Emerging Use Cases in AI- Enabled Drug Research, Genomics Sequencing, and Medical Imaging Applications: Ultrasound imaging, medical carts, endoscopy, clinical devices ...
In this example, the first parameter inConditionalSelectisVector<int>.One, which has a value of1for all lanes, meaning all lanes are active. The “true” value of the ternary operator is represented by the second parameter,Abs(op), while the “false” value is given by the third parameter...
Interactions with lab tools and instruments that either don’t require tactile authenticity for learning (e.g., notebooks, calculators, etc.) or which are not the focus of psychomotor skills acquisition in the present module are mediated by VR controllers. In VR mode, students use object-...
TABLE V:Meanaverage precisionevaluated on: a) both manual and active learning test data. b) manual test data only. Manual and AL test dataManual test data only ManualActive LearningManualActive Learning bicycle+1.36+5.94+2.28+3.18 person+0.74+3.28+1.28+1.35 car+0.62+1.07+0.58+0.28 (a)(b)