Which of the following isnota core capability of the AI Middle Platform?
A.
Indigenous, self-controlled full-stack technology: from chips and OS to AI frameworks and applications
B.
Training downshift: local scenario datasets feeding back to enable integrated training + inference and incremental training for continuous algorithm improvement
C.
Cloud–edge collaboration: one-click model deployment; shared capabilities across city/district/street; highly efficient resource collaboration
D.
Super-large number of algorithms: having the largest number of video-recognition algorithms in the industry
AI Middle Platform core capabilities focus ontechnical autonomy,continuous training iterations, andcloud–edge collaboration. Industry white papers emphasize that the middle platform’s value lies inreusable capabilities and continuous optimization, not in simply having the largest number of algorithms. Therefore, “having the most algorithms” is not a core capability.
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