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AI and the future agriculture

IBM Journey to AI blog

Better, faster phenotyping In Tanzania, David Guerena, an agricultural scientist at the International Center for Tropical Agriculture, is using AI to kick plant evolution into overdrive. Guerena’s project, called Artemis, uses AI and computer vision to speed up the phenotyping process.

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Computer Vision Tasks (Comprehensive 2024 Guide)

Viso.ai

Computer vision (CV) is a rapidly evolving area in artificial intelligence (AI), allowing machines to process complex real-world visual data in different domains like healthcare, transportation, agriculture, and manufacturing. Future trends and challenges Viso Suite is an end-to-end computer vision platform.

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AI in Finance – Top Computer Vision Tools and Use Cases

Viso.ai

Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. Applications of Computer Vision in Finance No.

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Typical Workflow for Building a Machine Learning Model

Viso.ai

Person detection with a computer vision model Step 2: Create a Dataset for Model Training & Testing Before we can train a machine learning model, we need to have data on which to train. The example image below is from a model that was built to identify and segment people within images.

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Generative AI: A Guide To Generative Models

Viso.ai

provides the leading end-to-end Computer Vision Platform Viso Suite. Global organizations like IKEA and DHL use it to build, deploy, and scale all computer vision applications in one place, with automated infrastructure. Diffusion Models Diffusion models are one of the newest models in generative AI.