AIIEEE Spectrumabout 2 hours ago
Data Bottleneck Slows Visual and Physical AI
1 min read
A 2026 survey of over 700 professionals finds data problems cause most model failures in visual and physical AI. Curating data matters more than larger architectures, and annotation remains costly and wasteful. Successful teams invest nearly 3x more time in data work than struggling teams.
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