Source: thenewstack.io
New Tool Moves AI from the Backend to the Edge
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.
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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