Technology
Deep Supervised Summarization: Algorithm and Application to Learning Instructions
Chengguang Xu, Ehsan Elhamifar
Neural Information Processing Systems http://nips.cc/
DeepReinforcementLearningattheEdgeofthe StatisticalPrecipice
Research in artificial intelligence, and particularly deep reinforcement learning (RL), relies on evaluating aggregate performance on a diverse suite of tasks to assess progress.
MSAGPT: NeuralPromptingProteinStructure PredictionviaMSAGenerativePre-Training
Anillustrativeexample inFigure 1(a)showcases thatthecorrelations analysis among amino acids (AAs) sites could reveal contacts or conservative regions in the folding structure.
