The method retrieves reflectance and vegetation-health indicators across entire forest volumes, offering a low-cost alternative to light detection and ranging (LiDAR) or radar for monitoring biomass, ...
Abstract: This paper presents the development of a simulator for generating synthetic data intended for training neural networks under conditions of uncertainty. The proposed approach enables the ...
US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...
This study from MIT explores eye evolution through AI simulations, uncovering how different tasks shape visual systems and ...
Abstract: Obtaining real-time and accurate estimates of tire-road friction coefficient (TRFC) and sideslip angle is crucial for effectively implementing active safety control algorithms in vehicles.
WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...