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Multi-Scale Protein Language Model for Unified Molecular Modeling
Protein language models have demonstrated significant potential in the field of protein engineering.
Secret Key Generation for IRS-Assisted Multi-Antenna Systems: A Machine Learning-Based Approach
Different from most previous works that adopt iterative optimisation to solve the problem, the proposed DNN-based algorithm directly obtains the BS precoding and IRS phase shifts as the output of the DNN.
Machine Learning-Based Secret Key Generation for IRS-assisted Multi-antenna Systems
Different from most previous works that adopt the iterative optimization to solve the problem, the proposed DNN based algorithm directly obtains the BS precoding and IRS phase shifts as the output of the DNN.
Random Embeddings and Linear Regression can Predict Protein Function
Large self-supervised models pretrained on millions of protein sequences have recently gained popularity in generating embeddings of protein sequences for protein function prediction.
