Abstract: Deep reinforcement learning (RL) typically requires a tremendous number of training samples, which are not practical in many applications. State abstraction and world models are two ...

Abstract: The outbreak of COVID-19 has had a serious impact on the safety of human life and property. Rapid and effective diagnosis is the key to the prevention and treatment of the virus. In this ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Life cycle assessment (LCA) is the gold-standard method for quantifying the environmental footprint of products and processes ...

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An artificial intelligence model capable of reading and interpreting animal behavior like language has been developed by ...

The high performance proves the feasibility of the BERT-BiLSTM-CRF model in information extraction from Chinese radiology reports. The findings of our study suggest that the deep learning–based method ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

At Carnegie Mellon University’s Next Manufacturing Center, researchers have developed an off-axial imaging system to capture ...