Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

The researchers who developed the system, called Centaur, fine-tuned a large language model (LLM) using a massive set of data ...

This geometric figure — first identified by dentist William Bonwill in 1864 — is formed by connecting the two points where ...

Scientists say they captured 3D images of a new organelle they're calling a "hemifusome," which may be a recycling center in ...

Baobab trees may be a proxy for measuring long-term use of land by humans. They live long, have economic benefits, and are ...

In a nutshell A 43,000-year-old fingerprint preserved in red ochre on a Spanish pebble represents the oldest known evidence ...

Natural World Photography Competition June 15 was Nature Photography Day, and in celebration of that, the winners of the ...

Unraveling the structure–activity relationship in catalysis requires interpretable models that can extract governing principles from complex data sets. This study explores reasoning large language ...

This paper presents an approach to reconstruct 3D objects using Genetic Algorithm (GA) from a 2D image. In the proposed method GA evolve 3D initial models to a target object by means of comparisons ...

This repository contains the code to train ConvNeXt models on 3D NIfTI images or 2D slices derived from these images. The script allows you to customize various aspects of the training process, ...

The detection of human objects can be crucial for various real-world applications, such as surveillance and autonomous driving. However, traditional vision-based approaches suffer from limitations ...