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Image Compression Startup Deep Render using tech that mimics neural processes of Human Eye raises £1.6 Million in Seed Funding

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Deep Render has raised £1.6 Million in Seed Funding. The London based Startup uses a technology that mimics neural processes of the human eye.

The startup was founded in 2017 by Arsalan Zafar and Chri Besenbruch. Both met met while studying Computer Science at Imperial College London. The Startup aims to solve the problem of data consumption. Images comprise a large chunk of Internet traffic and in peak durations, this can cause immense pressure on the network.

According to the company, Deep Render’s technology rebuilds media compression from scratch by leveraging the advances in the field of machine learning and also by mimicking the neural processes of the human eye.

In traditional image compression technology, there are various modules which are connected to each other. Before an image is passed on to the next module, the image is optimized for the current module. However, it can cause delay and reduction in image quality. Deep Render overcomes this by replacing various modules by a single module.

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