Distributed LLMs can treat bias as a network state that evolves with communication: nodes exchange a three-dimensional bias state and align by consensus, cutting composite bias by about 48.5% and inter-node bias-state variance by about 87.4% versus FedAvg in a lightweight Transformer pilot.
This work collected approximately 127 audio-visual dog recordings from various localities of Mangalore, organized them into four emotion classes—Happy, Sad, Angry, and Relaxed—and identified and assigned emotion labels through clustering algorithms, aiming to provide a data basis for multimodal, audio-based, video-based, and emotion classification systems and to investigate the feasibility of recognizing dog emotions from audio-visual cues.
This study builds Ti3C2Tx MXene/n-type monocrystalline silicon heterojunction solar cells, exposes them to 50 MeV protons and 1 MeV electrons (electron fluence 1012–1015 particles/cm2, proton 1012–1014 particles/cm2), characterizes them with XRD, Raman, SEM/TEM, EBSD, APT and LAMMPS atomistic simulation, and couples a physics-informed digital twin with Random Forest Regression, reporting over 84% retention of initial power conversion efficiency after irradiation versus about 55% for conventional Si cells, with R2 > 0.96 for predictions of VOC, JSC, FF and PCE.
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