Stroke, a leading cause of global mortality, poses significant challenges due to limited therapeutic options and devastating ...

Neural implants contain integrated circuits (ICs) — commonly called chips — built on silicon. These implants need to be small ...

Neural implants contain integrated circuits (ICs) -- commonly called chips -- built on silicon. These implants need to be small and flexible to mimic circumstances inside the human body. However, the ...

Thirty-one members of the University of Chicago faculty have received distinguished service professorships or named ...

Stroke remains a leading cause of long-term disability, impacting millions of individuals annually. Patients with stroke can experience a variety of ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

Before joining Techopedia full-time in 2023, his work appeared on VentureBeat,… A deep neural network is a neural network with three or more layers. The network is made up of artificial neurons ...

Perceptron is a foundational artificial neural network concept, effectively solving binary classification problems by mapping input features to an output decision. By merging concepts from neural ...

Artificial neural networks are designed for classification, which needs large samples of pixels for training background and target classes, but have a problem with subpixel target detection, which ...

Abstract: Heterogeneous Graph Neural Networks (HGNNs) have attracted significant research attention in recent years due to their ability to capture complex interactions among various node types in ...

"In the new study, we used deep neural network-based potentials of interatomic interaction to model the structure of high-entropy carbonitride (TiZrTaHfNb)C x N 1−x in both solid and liquid states.