NSLLM bridges LLMs and neuroscience Large language models (LLMs) have become crucial tools in the pursuit of artificial ...

Abstract: The human neuromusculoskeletal system learns and adapts the upper limb impedance to new task dynamics, enhancing task performance and stability. This study aimed to develop and validate a ...

Earth system models offer insight into how climate change will affect communities. But residents of those communities are ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Using cutting-edge algorithms and exascale supercomputers, researchers have created the most realistic simulations yet of matter flowing into black holes. Building on decades of research, a group of c ...

Abstract: The existing double-vector (DV) model-predictive control for a permanent magnet synchronous motor (PMSM) selects the optimal voltage vector (OVV) combination by traversing 12 alternative ...

In this example, we demonstrate how to model power electronics devices that perform current control using MathWorks products, focusing on: The modeling style introduced in this example is not a ...