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Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise  AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE).

In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.

Catch up on what you've missed

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In this webinar, several panelists including Appu Shaji, CEO and Chief Scientist of Mobius Labs and Eden Zoller, Omdia Chief Analyst, break down the way to adapt to a rapidly changing industry in the new year. In addition, there will be a discussion panel where we will include specific uses-cases and examples that are relevant to the video broadcasting industry. Watch on-demand now!

Appu Shaji, Mobius Labs' CEO and Chief Scientist, presented at DAM Asia-Pacific 2022. Watch this presentation to learn more about how to archive and analyse big sets of data using computer vision technology.

Online printing companies have deeply transformed the print industry and are now competing on an equal foot with traditional corporations. Artificial intelligence and, in particular, computer vision cracked what has been so far a black box: the content of the customer’s project. So how can computer vision level up the internet to print businesses? Watch this on-demand webinar to discover more.

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Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise  AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE).

In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.