Children are astonishing language learners. Long before they can read or write, they begin to pick up words, patterns, and ...

Abstract: With the rapid advancements in computer vision, high-resolution remote sensing imagery has become a crucial data source for object detection. Nevertheless, effectively utilizing limited ...

Advanced Pytest + Selenium test framework using POM. Includes legacy scripts from Sprint 7 and full automation from Sprint 8.

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more While large language models (LLMs) have ...

As House Republicans consider making deep cuts to Medicaid, Santa Clara County wants to transition to a “single plan” model for Medi-Cal managed care in hopes of improving reimbursement rates. But ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

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Abstract: We propose a comprehensive computer vision framework that integrates multi-scale signal processing with an enhanced ConvNeXt-YOLO architecture for robust object detection. Our framework ...

Explore how NVIDIA's NeMo Framework employs model pruning and knowledge distillation to create efficient language models, reducing computational costs and energy consumption while maintaining ...