Twitter Acquires Machine Learning Startup to Enhance Real-time Video

The social network, Twitter has purchased a machine learning set-up, that can automatically improve low-resolution and dim video in actual time. It announced yesterday that it had acquired London-based Magic Pony Technology, though the price has not been disclosed yet.

Twitter Acquires Machine Learning Startup to Enhance Real-time Video

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Twitter CEO Jack Dorsey also tweeted that the initiative will benefit the company accomplish its objective. The aim of transforming it into the first and perfect place to discover what is happening around the globe.

The advantages of Magic Pony’s tech are obvious for Twitter. Previously the company revealed some of its machine learning research. It also exhibited how its algorithms can really boost the resolution of low-res videos using general graphics cards.

The Magic Pony team has 11 PhDs, with their ability ranging beyond computer vision, computational neuroscience, and deep learning.

“Online video-streaming businesses rely heavily on video compression.”

Magic Pony’s co-founder Rob Bishop informed MIT Technology Review in April.

“Our first product demonstrates that image quality can be greatly enhanced using deep learning, and fast mobile GPUs now allow us to deploy it anywhere.”

The startup’s deep learning contrivance learn what high-resolution patterns and landscapes appear by automatically scanning and designating sample representation.

Bishop also revealed that Magic Pony’s computer vision merchandises can fill in the blanks in videos just the way Photoshop’s auto-fill tool does. It can enhance the image quality of pictures taken on low-resolution cameras as well.

The startup revealed in its own announcement that:

“The Magic Pony unit would set out as the European home base for Twitter’s machine learning attempts, and that with the social media firm it wants to immensely spur our estimate of research.”

Twitter will get less blurry videos soon; thanks to Magic Pony Technology, which seems great. So lets wait and see when Twitter will roll out this feature.

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