New Tool Moves AI from the Backend to the Edge

2 years ago thenewstack.io

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Artificial Intelligence is moving from the backend to the frontend, in part thanks to emerging solutions designed to optimize how AI runs. The Tel Aviv-based company aims to bring AI to “the real world.”

It offers a deep learning development platform to help data scientists build, optimize and deploy AI models.

Currently, there’s a gap called the AI efficiency gap, which is the gap between experimental machine learning to production-ready machine learning, Geifman explained.

Geifman explained that with AI model selection, there’s often a trade-off between accuracy and latency.

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