Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

Nonpoint source pollution, characterized by its diffuse origins and transport mechanisms, remains a central barrier to global ...

The rise of real-time object detection and CNN models like YOLO is powering operational efficiency across ports, warehouses, ...

Discover an amazing idea that introduces a unique and genius tool designed to revolutionize your daily tasks! In this video, we explore the innovative features and applications of this incredible ...

While artificial intelligence (AI) holds promise to improve the diagnosis of melanoma, researchers of a new review outlined ...

Through the course, participants will learn about Python, machine learning models, data processing, and interpretation, with a focus on practical use.

Cibaca continues to explore image classification and deep learning from a research-first perspective. Her ongoing work ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

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In today’s digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image classification, object detection, and ...

In this paper, Object Detection and Tracking System (ODTS) in combination with a well-known deep learning network, Faster Regional Convolution Neural Network (Faster R-CNN), for Object Detection and ...