This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Kekulé, born in Darmstadt and trained first as an architect, had already shaken chemistry by insisting carbon forms four ...

This study offers important insights into the development of infants' responses to music based on the exploration of EEG neural auditory responses and video-based movement analysis. The convincing ...

In this interview, Hersh Shah, CEO of IRM India Affiliate and India’s youngest enterprise risk expert, engages in a ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...

In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be ...

Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could ...

Google announced yesterday that AI Mode now works with Circle to Search and Google Lens. Google's Rajan Patel wrote on X, "Today, we're taking your visual searches to the next level with two new ...

Learn about the Sikkim TET Syllabus 2025, including topic-wise syllabus, weightage, preparation tips, and more on this page.

To address low detection accuracy in SAR images due to complex backgrounds, large scale variations, and small targets, an improved algorithm SRA-DETR based on RT-DETR is proposed. It uses repBlock on ...

Recent research on deep convolutional neural networks (DCNNs) for classifying micro-Doppler (m-D) signatures faces a significant challenge due to the limited and costly acquisition of data. This ...