How AI Could Be Used In Journalism Articles Big Data

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Using AI and deep learning to create a quick report on the statistics and quotes used should be relatively simple, scanning through complex and variable data sources to discover patterns that show whether information is correct or not. These tools could even check that images accompanying the article show the correct picture and context. A recent article on Breitbart, for instance, could see them end up in court after they used an image of Lukas Podolski, a German soccer player who has appeared for his country 130 times. The image of Podolski and another man appeared under the headline'Spanish police crack gang moving migrants on jet skis', but a 10 second Google image search would have shown that this was actually an image of Podolski on a Jet Ski trip during the Rio 2016 World Cup. A simple AI system would have picked this up almost instantly through image recognition and allowed them to avoid the embarrassment and potential law suit that Podolski is reportedly considering against them.


What is image analysis?

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It can be as simple as scanning a barcode, or as complex as PiP. Yep… one of the most advanced pet identification systems out there... PiP is a smartphone app created for pet owners who've lost their cat, dog, fish. Should you misplace your pet, its photo will be analyzed and matched with photos of pets that have been found wandering the streets. Image analysis is used to beat lost tags, outdated microchips, and fading tattoos. Teaching a computer to see, is no walk in the park.


Analyze a Soccer game using Tensorflow Object Detection and OpenCV

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The API provides pre-trained object detection models that have been trained on the COCO dataset. COCO dataset is a set of 90 commonly found objects. See image below of objects that are part of COCO dataset. In this case we care about classes -- persons and soccer ball which are both part of COCO dataset. The API also has a big set of models it supports. See table below for reference. The models have a trade off between speed and accuracy. Since I was interested in real time analysis, I chose SSDLite mobilenet v2. Once we identify the players using the object detection API, to predict which team they are in we can use OpenCV which is powerful library for image processing.


Analyze a Soccer (Football) Game Using Tensorflow Object Detection and OpenCV

#artificialintelligence

The API provides pre-trained object detection models that have been trained on the COCO dataset. COCO dataset is a set of 90 commonly found objects. See image below of objects that are part of COCO dataset. In this case we care about classes -- persons and soccer ball which are both part of COCO dataset. The API also has a big set of models it supports. See table below for reference. The models have a trade off between speed and accuracy. Since I was interested in real time analysis, I chose SSDLite mobilenet v2. Once we identify the players using the object detection API, to predict which team they are in we can use OpenCV which is powerful library for image processing.


Microsoft invests in and partners with OpenAI to support us building beneficial AGI

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Microsoft is investing $1 billion in OpenAI to support us building artificial general intelligence (AGI) with widely distributed economic benefits. We're partnering to develop a hardware and software platform within Microsoft Azure which will scale to AGI. We'll jointly develop new Azure AI supercomputing technologies, and Microsoft will become our exclusive cloud provider--so we'll be working hard together to further extend Microsoft Azure's capabilities in large-scale AI systems. Each year since 2012, the world has seen a new step function advance in AI capabilities. Though these advances are across very different fields like vision (2012), simple video games (2013), machine translation (2014), complex board games (2015), speech synthesis (2016), image generation (2017), robotic control (2018), and writing text (2019), they are all powered by the same approach: innovative applications of deep neural networks coupled with increasing computational power.