The autonomous station's integration of hardware and AI architecture offers a significant departure from static CCTV setups ...

A new study questions the longstanding view that the visual system is divided into two pathways, one for object-recognition and the other for spatial tasks. Using computational vision models, ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

As part of an international study, researchers at the Max Planck Institute of Biochemistry used spatial proteomics method called Deep Visual Proteomics to analyze liver tissue from German and Danish ...

Extreme cosmic events such as colliding black holes or the explosions of stars can cause ripples in spacetime, so-called ...

In a major step forward for radiation detection technology, a research team led by Prof. Meng Gang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has significantly ...

ASTRI has made a stellar showcasing at the 50th International Exhibition of Inventions Geneva, securing 16 awards.

A high school student in California has made a remarkable contribution to astronomy by developing an artificial intelligence ...

Implementations of Neural Networks and Deep Learning algorithms, inspired by the Neural Networks and Deep Learning course from the 3rd year of B.Tech CSE at Amrita Vishwa Vidyapeetham, Coimbatore, ...

[ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation && [CVPR 2025]DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation ...

Researchers have been studying ways to leverage AI and machine learning algorithms in order to make sense of animal sounds ...