A team of researchers from Ca' Foscari University of Venice and the Universidad Autónoma de Madrid has developed a ...

Existing three-dimensional (3D) neuronal culture technology has limitations in brain research due to the difficulty of precisely replicating the brain's complex multilayered structure and the lack of ...

A research team at RCSI University of Medicine and Health Sciences has developed a 3D printed implant to deliver electrical ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

If you want to become an AI genius – the kind that Mark Zuckerberg offers $50–$100 million to join his quest for artificial ...

Magnetic anomaly detection can be used to detect and track ferromagnetic targets in invisible environments. However, it is extremely challenging to calculate the target’s motion state information ...

“We developed MindGlide, a 3D convolutional neural network (CNN), to segment specific brain structures and white matter lesions,” they wrote.

Liu, Y., Pu, H. and Sun, D. (2021) Efficient Extraction of Deep Image Features Using Convolutional Neural Network (CNN) for Applications in Detecting and Analysing Complex Food Matrices. Trends in ...

However, quantum machine learning (QML) remains in its early stages and requires further experimental analysis to better understand its behavior and limitations. In this paper, we propose an ...