Researchers have mapped and catalogued more than 70,000 synaptic connections from about 2,000 rat neurons, using a silicon chip capable of recording small yet telltale synaptic signals from a large ...

Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

However, the study provides limited new insights into the relationship between retinal lamination defects and overall retinal function. Neural lamination is a common feature of the central nervous ...

AI is suddenly in everything from TVs to toothbrushes. But is it true innovation or just clever marketing? Here’s what you ...

Enhances NXP's leading processing portfolio with cutting-edge NPUs and AI software, driving intelligent system solutions across the industrial and automotive ...

Scientists have long sought to understand the complexities of human intelligence. The relationship between brain structure ...

As existing partners, Kinara and NXP make it easy to pair Kinara's NPUs with NXP's industry-leading portfolio of industrial ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Researchers from Stanford University and the World Bank have developed an AI-driven poverty measurement system using ...

The brain of humans and other animals is known to contribute to the protection of the body from infections. Past studies have ...

During the evaluation, the authors examine the object detection performance of a popular voxel-based neural network with its original architecture and several variants where the time domain related ...

Abstract: In this paper, we propose a method for designing a classification model of speech emotional state based on the feature-map fusion of temporal convolutional network (TCN) and the pretrained ...