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Understand the Realtime Image Classification: CNN

Analytics Vidhya

The post Understand the Realtime Image Classification: CNN appeared first on Analytics Vidhya. An end-to-end guide on classifying facial emotion in real-time using deep learning. […].

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Build a Simple Realtime Data Pipeline

Analytics Vidhya

The post Build a Simple Realtime Data Pipeline appeared first on Analytics Vidhya. .- Dale Carnegie” Apache Kafka is a Software Framework for storing, reading, and analyzing streaming data. The Internet of Things(IoT) devices can generate a large […].

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34 Computer Vision Models You Must Know About

Analytics Vidhya

What started with simple handwritten digit recognition models, such as those used for MNIST, has now blossomed into a rich ecosystem of deep architectures powering everything from realtime object detection to semantic segmentation.

Modeling 121
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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Streaming and realtime analytics. This agrees with other surveys I’ve come across that indicated IT executives plan to invest a significant portion of their budgets in cloud computing resources and services. AI and Data technologies in the cloud. Building a Serverless Big Data Application on AWS”. Security and privacy.

Big Data 272
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In AI we Trust? Why we Need to Talk about Ethics and Governance (part 1 of 2)

Cloudera

Secondly, the use of facial recognition in Uber’s realtime ID system. The investigation focussed on two main concerns. Firstly, individuals apparently being dismissed without the decision being reviewed by a human.

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Gemini: WYSINWYG?

Timo Elliott

And I’ve heard people argue that this is just a question of timing — for example, taking a video and extracting single frames from it is known technology, so maybe Google just felt that what the video depicts in realtime is an acceptable, short-term extrapolation of what the model can do.

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EclipseStore enables high performance and saves 96% data storage costs with WebSphere Liberty InstantOn

IBM Big Data Hub

By using this stack, our customers benefit from ultra-fast realtime data processing, microsecond response and query times and save up to 96% database costs in the cloud.