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Morning Edition · Saturday, July 11, 2026Published at 1:46 AM EDT · New York
ZipDepth Distills a Foundation Depth Model Into 6.1 Million Parameters That Run on Phones
Trained on 14.1 million images across 17 domains via distillation from Depth Anything v2-Large, the network exports to TensorRT, CoreML, and ONNX without manual graph rewriting.
A team from the University of Bologna released ZipDepth, a compact monocular depth network aimed at running foundation-quality depth estimation on embedded and mobile hardware. It pairs a reparameterizable encoder-decoder with large-scale k…
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Part of a tracked trend
AI Inference Shifts to Consumer Devices
Over the next 3-6 months, smaller efficient architectures and inference-cost optimizations push capable AI off the cloud and onto laptops, phones, and mobile NPUs.
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