It is our biggest blind spot, a bizarre experience that befalls us every day, and can’t be explained by our need for rest ...

CircuitDigest presents the Smart Home & Wearables Project Contest 2025! Win exciting prizes worth up to ₹7,00,000 and receive ...

Abstract: Well-trained neural network models are deployed on edge servers to provide valuable inference services for clients. To protect data privacy, a promising way is to exploit various types of ...

Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous influence on our culture as a whole. In Pong’s time, its popularity ushered ...

With a computational analysis of a neuroanatomical network model in C. elegans, this valuable work investigates the synaptic mechanism for memory-dependent klinotaxis, i.e., salt concentration ...

Technological issues that caused network interruptions for Kaiser Permanente have been resolved. A statement from Kaiser to ABC10 said their technology applications are back online as of 6 p.m. A full ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

This study presents useful findings on the differences between male and hermaphrodite C. elegans connectomes and how they may result in changes in locomotory behavioural outputs. However, the study ...

Brain-computer interfaces (BCIs) are an advanced fusion of neuroscience and artificial intelligence, requiring stable and long-term decoding of neural signals. Spiking Neural Networks (SNNs), with ...

Abstract: The Conversational Brain-Artificial Intelligence Interface (BAI) is a novel brain-computer interface (BCI) that uses artificial intelligence (AI) to help individuals with severe language ...