launches AI tool to build intelligence into systems

Artificial Intelligence start-up announced on Monday the global launch of ‘Braid, an open Source tool to build intelligence quickly into systems.

“Open sourcing key tools in AI, will help discover newer, interesting and more impactful use cases and applications for AI that we may not have even thought of,” said Vinay Kumar Sankarapu, CEO and founder of

Technology companies and start-ups trying to create products that use Artificial Intelligence are racing to build neural networks. By their very nature however, neural networks are complex and call for Deep Learning.

Building neural networks, which are not unlike actual human brains with their complex layers, is a resource-intensive, expensive and time consuming process.

And yet, these need to function flawlessly at large scale to handle tasks like speech and language processing, image processing, intelligent virtual assistants and even self-driving cars.

Braid is offered, free and open source, to companies that use research scientists and technologists developing these networks.

While several developer platforms and tools exist to develop neural networks, Braid has the advantage of being flexible, customisable, and modular, a meta-framework that works with operating systems for Deep Learning, the company said in a statement.

Braid is also simple and scalable for use with networks that need the handling of many data points at large volume, it added.

For AI to understand, say, medical radiology reports, a neural network with millions of neurones trained and defined into the architecture would be needed to learn the task, Sankarapu explained.

“Currently, developing applications on these frameworks needs substantial resource investments in terms of specialised skills and long cycle times, but now, with Braid, it is easy to start up development immediately and deploy the tool,” Sankarapu noted.

Braid is the brainchild of two Indian Institute of Technology Bombay alumni Vinay Kumar Sankararapu, and Deekshith Marla. IANS

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