AI Doesn’t Have A Data Problem; It Has A Context Problem

Many AI initiatives fail not because of poor technology but because organizations lack shared definitions, context and ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Why Solving Legal AI's Context Problem Is Harder Than You Think

Every few months, a new AI tool promises to transform legal work. The demos are impressive. The capabilities are real. And ...
Psychology Today

Anomaly Puzzles: How the Brain Detects the Unexpected

These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...
GitHub

Efficient Frequency-Domain Image Deraining with Contrastive Regularization (ECCV2024)

2024/09/25 Update：The code is now open, welcome to ask questions in the issue, we will try our best to solve errors and doubts 2024/09/26 Update: Pre-trained ...
IEEE

LWCDNet: A Lightweight Fully Convolution Network for Change Detection in Optical Remote Sensing Imagery

Abstract: Change detection (CD) is an important task in remote sensing image processing. The main research goal is to identify whether the target area has changed. Recently, the rise of deep learning ...
IEEE

Integrating Prototype Learning With Graph Convolution Network for Effective Active Hyperspectral Image Classification

Abstract: In recent years, active learning (AL) methods have provided a feasible approach to alleviate the problem of limited labeled samples in deep learning projects. Existing AL algorithms ...
Frontiers

Detection Method of Citrus Psyllids With Field High-Definition Camera Based on Improved Cascade Region-Based Convolution Neural Networks

Citrus psyllid is the only insect vector of citrus Huanglongbing (HLB), which is the most destructive disease in the citrus industry. There is no effective treatment for HLB, so detecting citrus ...