A research team now proposes a novel Multi-Granularity Alignment (MGA) domain adaptation framework that dramatically improves cross-domain detection accuracy, enabling deep learning models to maintain ...

moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.

President Donald Trump and his billionaire "first buddy" Elon Musk publicly split and immediately fell into an acrimonious feud, and CNN commentators discussed where that spat might lead.The tech ...

This study focuses on enhancing the intelligence level of assisted living robots to meet the needs of older adults with disabilities. The goal is to achieve efficient multitarget detection of everyday ...

To tackle these challenges, we introduce Fuzzy-aided Compression (FAC), an efficient yet effective LiDAR points compression algorithm for collaborative 3D object detection of autonomous driving.

New satellite images show North Korea has deployed what appear to be balloons alongside its damaged 5,000-ton warship that has been laying on its side and partially submerged since a botched ...

Researchers traced long, bright radio pulses, combined with X-rays, to an intriguing cosmic object 15,000 light-years from Earth, according to a new study.

From convolution to classification — here’s how the architecture of CNNs is structured and why it works. #CNNArchitecture #ComputerVision #AI ...

We propose a general model Weak Cube R-CNN, which can predict objects in 3D at inference time, requiring only 2D box annotations for training by exploiting the relationship between 2D projections of ...

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.