A Biomimetic Optical Skin for Multimodal Tactile Perception Based on Optical …
Tactile sensation is one of the critical ways humans perceive the world and is fundamental for the interaction with the surroundings. The development of haptic sensors can enable us to extend and t…
Automated Team Assembly in Mobile Games: A Data-Driven Evolutionary Approach …
Many mobile games adopt autobattle systems in which the major consideration of players is how to assemble strong teams. The automated team assembly (ATA) becomes a crucial issue from different stan…
Resonant Fiber Optic Gyroscope With HOPLL Technique Based on Acousto-Optic Mo…
Backscattering noise is a key factor to restrict the performance of resonant fiber optic gyroscopes (RFOG). In order to improve the accuracy of RFOG, this paper proposes a scheme with heterodyne op…
Model-Protected Multi-Task Learning
Multi-task learning (MTL) refers to the paradigm of learning multiple related tasks together. In contrast, in single-task learning (STL) each individual task is learned independently. MTL often lea…
The Echo-Induced Influence on the Frequency-Modulating Calibration of the 3 X…
A low-distortion 3×3 interrogation algorithm requires the accurate parameters calibration of the 3×3 coupler-based Michelson interferometer. The ellipse fitting method with a frequency modulation…
Lenovo Schedules Laptop Manufacturing Using Deep Reinforcement Learning
Lenovo Research teamed with members of the factory operations group at Lenovo’s largest laptop manufacturing facility, LCFC, to replace a manual production scheduling system with a decision-makin…
Refractive Index Sensing Utilizing Tunable Polarization Conversion Efficiency…
Conventional metal metasurfaces imparting abrupt local phase profiles suffer from strong inherent loss and limited polarizability, leading to low polarization conversion efficiency of electromagnet…
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