Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
In a new study published in The Crop Journal on November 7, researchers developed an AI model named TillerPET that enables ...
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...
We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...
WiMi Hologram Cloud is studying a hybrid quantum-classical learning architecture for advanced multi-class image classification applications in artificial intelligence research worldwide.
In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...
Abstract: Remote-sensing images frequently exhibit complex and extensive geometric distortions due to the characteristics of imaging platforms and conditions. These distortions not only increase the ...
Abstract: Parkinson’s disease (PD) is the second most common neurodegenerative disorder and is characterized by dopaminergic neuron loss and the accumulation of abnormal synuclein. PD presents both ...
Coinbase is moving deeper into Solana’s onchain markets with a deal to buy trading platform Vector, the exchange said Friday. Coinbase Expands Solana Trading Stack With Vector Deal Coinbase has agreed ...
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