Microsoft acquires Lobe to help make AI accessible to everyone

Microsoft Acquires Lobe Which Helps Develop Deep Learning Models for AI-Powered Apps

Microsoft on Thursday said that it has acquired a small San Francisco start-up Lobe that lets you create custom deep learning models using a simple drag-and-drop interface.

Although the deep learning technology has made a good progress over the last few years, but Microsoft said that the development process of deep leaning systems is still complex and slow.

Dee learning is a subset of machine learning which is used to build artificial neural networks.

Deep learning has a wide range of applications. With driverless cars for example, it can teach them to recognize a stop sign, or to distinguish a pedestrian from a lamppost. The trained models can then be exported to CoreML or TensorFlow and, as of right now, it doesn't seem to support Microsoft's own Windows ML platform, but that could change as a result of this acquisition.

It is also worth seeing that the Lobe's approach complements Microsoft's existing Azure ML Studio platform, which also offers a drag-and-drop interface for building various model of the machine learning with the help of which with a more utilitarian design than the slick interface that the Lobe team built., but just like low-code tools, they do serve a goal and work well enough for many use cases.

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Lobe and Microsoft aim to make the AI development easier.

Today Microsoft has announced that it is going to acquire Lobe. The company now plans to the user the Lobe which is said to be only launched into the beta version which was earlier this year.

The concept of making machine learning so simple that even I could do it may well turn out to be humanity's undoing, but Microsoft still thinks it's worth a bash.

As for Lobe's future, the company says that it will continue to operate as a standalone service while enjoying the backing of Microsoft's "world-class AI research, global infrastructure, and decades of experience building developer tools". Unlike many online publications, we don't have a paywall or run banner advertising, because we want to keep our journalism open, without influence or the need to chase traffic.

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