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Microsoft acquires small AI Startup Lobe

Microsoft acquires small AI Startup Lobe
Microsoft acquires small AI Startup Lobe

Microsoft declared today that it has purchased Lobe, a Startup which lets you form machine learning models with the help of a simple drag-and-drop interface. Lobe was launched as a beta beginning of this year through its own efforts to make developing AI models easier, for some time, Lobe will operate as before.

The Lobe team says, “As part of Microsoft, Lobe will be able to leverage world-class AI research, global infrastructure, and decades of experience building developer tools.” It added, “We plan to continue developing Lobe as a standalone service, supporting open source standards and multiple platforms.”

Mike Matas, who is the co-founder of Lobe as worked earlier on iPad and iPhone including Facebook’s Paper and Instant Articles products. Other co-founders are Adam Menges and Markus Beissinger.

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Lobe’s CEO, Adam Menges are earlier machine learning engineer and also a product manager at Apple. Lobe’s service offers an online interface for collection models which doesn’t require coding, hence making it different as compared to other providers. The system is able to make predictions depending on the data it’s trained on from camera, microphones and various other data input systems. It can also produce new data.

Apart from Lobe, Microsoft has lately acquired Bonsai.ai, a deep reinforcement learning platform, and Semantics Machines, a conversation AI platform. In 2017, Microsoft acquired Maluuba, which consists of the world’s most impressive deep learning research labs for natural language understanding. This is not new, as there are very few companies working on Machine Learning and Artificial Intelligence. Hence, all the tech-giants are acquiring these firms to provide the best technology to the users worldwide.

Kevin Scott, Microsoft’s chief technology officer says, “In many ways though, we’re only just beginning to tap into the full potential AI can provide.” He further said, “This in large part because AI development and building deep learning models are slow and complex processes even for experienced data scientists and developers. To date, many people have been at a disadvantage when it comes to accessing AI, and we’re committed to changing that.”

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Lobe’s approach will be very much useful for the Microsoft’s existing Azure ML Studio platform that offers a drag-and-drop interface for developing machine learning models, but with a more functional design as compared to the current interface on which Lobe team has built. Lobe and Azure ML Studio main purpose is to make machine learning simple, understandable and accessible to anyone.

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