Another move towards the automating of AI, from U of Waterloo
DarwinAI launches from stealth to automate artificial intelligence development By Maria Deutscher in SiliconAngle
Artificial intelligence projects usually rely on existing code. Engineers sift through the AI models available from sources such as academic publications, pick the one deemed most suitable and then customize it to their requirements.
Canada’s DarwinAI Inc. wants to reduce the amount of work involved in the last two steps. The startup today launched from stealth with $3 million in funding and a specialized development platform that promises to automate AI projects.
DarwinAI’s software is based on research conducted by co-founder Alexander Wong at the University of Waterloo, where he serves as a professor with the systems design engineering department. The platform can customize an existing AI for the requirements of an application using its own built-in neural network.
According to DarwinAI, the software works by deriving a series of new models from the original based on user-defined parameters. Engineers can then pick the version with the particular combination of characteristics that best matches their target use case and, if necessary, make further enhancements. The startup said AI models created with its software are not only faster but also considerably more efficient. ... "
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