The research finds that attackers could program almost any action within a self-driving vehicle’s AI super network to trigger ...
While electrification and software-defined vehicles dominate public discussion about cars, AI is the invisible layer binding ...
Pilots, drivers and automated safety systems in cars and airplanes could be alerted to icy hazards by a pair of sensors ...
Water leaves a memory in the land. Even after thousands of years, it lingers as faint ridges and subtle curves that only ...
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Satisfying car detailing deep clean hacks
Discover satisfying car detailing deep clean hacks that make removing dirt, stains, and grime faster and more effective. This video highlights smart detailing tips, simple tools, and ...
Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.
US-based Teradar unveiled its flagship Teradar Summit sensor at the Consumer Electronics Show (CES 2026). The company claims the sensor is the industry’s first long-range, high-resolution terahertz ...
The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...
Abstract: This paper presents a deep learning based approach to improve the accuracy of glaucoma detection using the EfficientNetB3, ResNet, and vison transformer (ViT) model. We propose a unique ...
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