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Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, termed "one-shot learning," have remained unknown. A mysterious type of ...

Our Milky Way galaxy may not have a supermassive black hole at its center but rather an enormous clump of mysterious dark ...

By now, it's no secret that large language models (LLMs) are experts at mimicking natural language. Trained on vast troves of data, these models have proven themselves capable of generating text so ...

Researchers led by Dr. Claire Foldi at Monash University have discovered that psilocybin, the psychoactive compound found in magic mushrooms, produces subtle but distinct effects on social behavior ...

Abstract: The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world ...

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...

Using data collected by NASA's Parker Solar Probe during its closest approach to the sun, a University of Arizona-led ...

DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...

Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models will exceed $1 billion by 2027. Costs are incurred through hardware, ...