We take a model-selection approach to the question of whether forward-interest rates are useful in predicting future spot rates, using a variety of out-of-sample forecast-based model-selection ...

This is a preview. Log in through your library . Abstract When is it better to use agent-based (AB) models, and when should differential equation (DE) models be used? Whereas DE models assume ...

Two new approaches allow deep neural networks to solve entire families of partial differential equations, making it easier to model complicated systems and to do so orders of magnitude faster. In high ...

This new technical paper titled “Machine-Learning-Based Compact Modeling for Sub-3-nm-Node Emerging Transistors” was published by researchers at SungKyunKwan University, Korea. “In this paper, we ...

Last year, MIT developed an AI/ML algorithm capable of learning and adapting to new information while on the job, not just during its initial training phase. These “liquid” neural networks (in the ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

Just as convincing images of cats can be created using artificial intelligence, new proteins can now be made using similar tools. In a report in Nature, a team including researchers at the University ...