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Glass rethinks the smartphone camera through an old-school cinema lens

TechCrunch

Films weren’t always widescreen. Originally they were more likely to be approximately the shape of a 35mm film frame, for obvious reasons. If you matted out the top and bottom, you could project a widescreen image, which people liked — but you were basically just zooming in on a part of the film, which you paid for in detail.

Film 246
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China’s work automation startup Laiye raises $160M, acquires France’s Mindsay

TechCrunch

Guanchun Wang, Laiye’s founder and CEO, saw the “value of artificial intelligence” in the years he worked at Baidu’s smart speaker department after his film discovery startup was sold to the Chinese search engine giant. Laiye CEO Guanchun Wang.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning - AI

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

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Supporting content decision makers with machine learning

Netflix Tech

Our catalog of thousands of films and series caters to 195M+ members in over 190 countries who span a broad and diverse range of tastes. The commissioning of a series or film, which we refer to as a title , is a creative decision. as is the uncertainty of the outcome (it is difficult to predict which shows or films will become hits).

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Building In-Video Search

Netflix Tech

You don’t know if that shot exists or where it is in the film, and you have to look for it it by scrubbing through the whole film. Exploding cars —  The Gray Man (2022) Or suppose it’s Christmas, and you want to create a great instagram piece out all the best scenes across Netflix films of people shouting “Merry Christmas”!

Video 97
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Achieving Observability: How to Address the Unknown Unknowns in Your Application

OverOps

That’s why there are many more tools (and people) involved in the filming and editing process for shows like National Geographic. This example clearly shows that the metrics and context needed to attain what we can call a “reasonable” level of observability depends on the requirements of the individual system.

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AI agents will transform business processes — and magnify risks

CIO

The systems are fed the data, and trained, and then improve over time on their own.” Our goal is to analyze logs and metrics, connecting them with the source code to gain insights into code fixes, vulnerabilities, performance issues, and security concerns,” he says. Adding smarter AI also adds risk, of course. “At