Computer vision, like many areas of artificial intelligence (AI), has seen exponential growth in recent years. According to data from recruiting platforms, job listings seeking artificial intelligence or computer vision specialists have doubled from 2021 to 2023. This growth presents …
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Bring this project to life Generating images with Deep Learning is arguably one of the greatest and most versatile applications of this generation of generative, weak AI. From generating quick marketing content to augmenting artist workflows to creating a fun …
Decentralized AI, a fusion of AI and blockchain, brings together two groundbreaking technological advancements of our time. Artificial Intelligence (AI) enables machines and computers to replicate human thinking and decision-making processes, while blockchain is a secure, distributed ledger that stores …
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Introduction In the dynamic realm of computer vision, Vision Transformers (ViTs) have emerged as a revolutionary concept. Introduced by Dosovitskiy et al. in the 2020 paper titled “An Image is Worth 16×16 Words: Transformers for Image Recognition,” ViTs have demonstrated …
Quantizing Vision Transformers for Efficient Deployment: Strategies and Best Practices Read More »
Enterprises often take an approach to automation focusing solely on technology, such as robotic process automation (RPA), and may claim to be “fully automated.” However, these organizations may be using the technology in ways beyond its intended purpose. Intelligent automation …
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Imagine a situation where you urgently need a vital healthcare treatment without getting caught up in bureaucratic hurdles. This is where prior authorization plays a crucial role, allowing you to access necessary care while controlling costs for healthcare providers and …
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AGVs, or Automatic Guided Vehicles, are autonomous mobile robots that are designed to navigate through pre-determined routes within a workplace facility. These intelligent machines are capable of moving goods and materials efficiently without requiring human involvement. The advancement of technology …
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DETR (Detection Transformer) is a revolutionary deep learning architecture initially proposed as a novel approach to object detection. It stands out as the first object detection framework to successfully incorporate transformers as a core building block in the detection pipeline. …
Creating an AI or machine learning proof of concept is a relatively straightforward process. However, as multiple teams start creating their own models for similar tasks, it can lead to duplicative training and tuning efforts, resulting in different outcomes, predictions, …
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DensePose is an advanced Deep Learning model developed by Facebook researchers in 2010 for dense human pose estimation. This model revolutionizes pose estimation by mapping standard RGB images to a 3D surface representation of the human body, establishing a dense …
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