This important study introduces an advance in multi-animal tracking by reframing identity assignment as a self-supervised contrastive representation learning problem. It eliminates the need for ...

(IEEE Transactions on Geoscience and Remote Sensing) RSMamba: Biologically Plausible Retinex-Based Mamba for Remote Sensing Shadow Removal [paper] (2025.01.08) (IEEE Internet of Things Journal) ...

FortniteAI is an AI Agent built by @triviatroy with the aim of creating a fully autonmous human-like Fortnite AI Agent. How does the detection actually work? Let's take a look. Below illustrates the ...

Understanding the activity of the mammalian brain requires an integrative knowledge of circuits at distinct scales, ranging from ion channel gating to circuit connectomics. Computational models are ...

‘Expensive Candy’ fails the moment it adopts a male point of view because what follows is a reductive look at sex work and an eerie romanticization of poverty The Philippine Sex Workers Collective ...

In the field of ship image recognition and classification, traditional algorithms lack attention to the differences between the grain of ship images. The differences in the hull structure of different ...

Abstract: In many areas like pattern recognition, object detection, and image classification, Convolutional Neural Networks(CNN) are becoming prevalent. FPGA implementation of a trained CNN model and ...

While convolutional neural networks (CNNs) continue to renew state-of-the-art performance across many fields of machine learning, their hardware implementations tend to be very costly and inflexible.

Measurements of the extreme ultraviolet (EUV) solar spectral irradiance (SSI) are essential for understanding drivers of space weather effects, such as radio blackouts, and aerodynamic drag on ...