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New algorithm for functional protein design outperforms traditional methods

Researchers from the University of Science and Technology of China (USTC), led by Prof. Liu Qi, in collaboration with Harvard Medical School's Marinka Zitnik lab, have developed a novel deep ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
Nasdaq

GBT Commences Research of Probabilistic Neural Network (PNN) Algorithms and Techniques for Kirlian Research

SAN DIEGO, March 16, 2021 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT” or the “Company”) is researching Probabilistic Neural Network (PNN) algorithms and techniques for Kirlian ...