Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
What is deep learning? Deep learning is a type of machine learning that uses deep neural networks with multiple layers—often hundreds or thousands—to process data and make dec ...
Our brain and eyes can play tricks on us—not least when it comes to the expanding hole illusion. A new computational model ...
Internal software engineers working for the tax department have implemented a machine learning tool which identifies and ...
It's called "woody breast" and for consumers it can mean a chewier chicken sandwich, but for the industry it can mean up to ...
The proposed deep learning-assisted multi-sensor fusion technique consists of two parts: (1) visual information fusion and (2) object detection using LiDAR ... inspired by a domain image fusion ...
I developed an object detection model that can detect Vehicle, Pedestrians and Signboards with great accuracy by finetuning a yolo v8 on a curated dataset which I developed by by taking frames from a ...
Background Social media influencers who promote e-cigarettes on Instagram or TikTok for tobacco brands use marketing tactics ...
The pandemic had significantly pushed the demand for deep learning technology. This is mainly attributed to the rise in demand for anti-money laundering (AML), fraud detection ... facial recognition, ...
Project SALEM is an advanced web application designed for the automatic review and validation of documents using cutting-edge machine learning techniques. The application leverages Convolutional ...
A deep learning ... detection, localization, and counting of SrD; (3) conducting a field trial using UAV to validate the proposed method. Research revealed that there are currently no public datasets ...
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