Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits ...

A new study identifies how LLMs develop social reasoning capabilities and form theory of mind (ToM), an important discovery ...

WiMi innovatively combines the robust feature extraction capabilities of QCNN with the dual-discriminator architecture to construct a hybrid quantum-classical generative adversarial framework. The ...

Smart, Stringless, and Strikingly Easy to Use For decades, learning the guitar has been a frustrating journey for many - a ...

A quadrature encoder uses two output channels offset in phase to detect both direction and position with greater precision.

While humans and classical computers must perform tensor operations step by step, light can do them all at once.

A new architecture replaces traditional bottlenecks with a passive, single-shot light-speed operation that could become the ...

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

A structure deep in the brain, the hippocampus, plays a central role in forming new episodic memories (events and experiences ...

Wenxuan (Peter) Li is the Co-founder & CEO of ThetaWave AI, serving students across the globe with AI-powered, personalized ...

This valuable study addresses a critical and timely question regarding the role of a subpopulation of cortical interneurons (Chrna2-expressing Martinotti cells) in motor learning and cortical dynamics ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...