IEEE

Topology-Aware Graph Neural Network-Based State Estimation for PMU-Unobservable Power Systems

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...

How do AI coding agents work? We look under the hood.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
IEEE

Low-Frequency Magnetotelluric Data Denoising Using Improved Denoising Convolutional Neural Network and Gated Recurrent Unit

Abstract: The magnetotelluric (MT) signals are susceptible to anthropogenic noise and the existing denoising methods have significant shortcomings in low-frequency situations. To address the problem, ...

Scientists Built a Working Brain—And Now the ‘Possibilities Are Endless,’ a Scientist Says

Even consciousness could reveal its secrets someday with this realistic simulation, researchers hope. It will not only ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
eLife

Voltage imaging reveals the emergence of population activity in the spinal cord

This paper presents an important advance in genetically encoded voltage imaging of the developing zebrafish spinal cord in vivo, capturing voltage dynamics in neuronal populations, single cells, and ...