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Language-based AI to chat with her dead husband

FlowingData

For the past few years, Laurie Anderson has been using an AI chatbot to talk her husband who died in 2013. A decade after his death, the resulting algorithm lets Anderson type in prompts before an AI Reed begins “riffing” written responses back to her, in prose and verse.

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Navigating tomorrow: Role of AI and ML in information technology

Dataconomy

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

ML 121
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Data Science Papers – Summer 2019 edition

Data Science 101

Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations.

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Introducing a blog series: The key trio of software development, project management, and data science

Data Science Dojo

Thus, one thing led to another, and soon enough, I was practicing algorithms and data-structures, learning about the basic “trouble-trio” of web-development–i.e., Feynman, 2013 ). Five years after earning the Ph.D., HTML, CSS, and JavaScript, etc.! Hard truth 3: What was that? Show you the money (!),” you demanded?

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sktime?—?Python Toolbox for Machine Learning with Time Series

ODSC - Open Data Science

We’re always looking for new algorithms to be hosted, these are owned by their author and maintained together with us. How to maintain it in a private code base, or contribute to sktime’s algorithm library. Our friendly and collaborative community is open to contributors from all backgrounds. Something else?

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In-depth analysis of artificial intelligence techniques for emotion detection: State-of-the-art, approaches, and perspectives

Dataconomy

Face detection algorithms based on geometric models, such as the Haar cascades model, or machine learning-based approaches, such as convolutional neural networks (CNNs), have been used to perform this task. Algorithms such as fiducial landmark detection and shape vector representation have been employed to extract these descriptors.

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Crack Detection in Concrete

Towards AI

Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification. Deep learning algorithms can be applied to solving many challenging problems in image classification. Yi, and J.-K.