DeepForest AI unlocks hidden forest layers

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
Analytics Insight

The Visual Sales Killer: Why Your "Good Enough" Photos Are Costing You Money (And the 2-Step AI Fix)

Millisecond Judgement In the ruthless arena of the digital economy, you do not have the luxury of time. Studies confirm that ...
PCMag

Nvidia's DLSS 4.5 Level-Up Explained: 6x More Frames, More Detailed Graphics

Nvidia's biggest gaming reveal at CES 2026 was DLSS 4.5, an update for RTX GPUs that can boost frames rendered by six times ...

Drones with standard cameras reveal hidden forest layers using AI technology

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
IEEE

Single Image Super-Resolution Through Image Pixel Information Clustering and Generative Adversarial Network

Abstract: Recent advances in Super-Resolution (SR) image reconstruction using Convolutional Neural Networks (CNNs) have encountered significant challenges in effectively modeling the complex mapping ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
IEEE

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Abstract: Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and computational performance for single image super-resolution.