8 citations · 14 across the 6 of their papers we have counts for
6 papers
On "Deep Learning" Misconduct
Juyang Weng
This is a theoretical paper, as a companion paper of the plenary talk for the same conference ISAIC 2022. In contrast to the author's plenary talk in the same conference, conscious…
Developmental Network Two, Its Optimality, and Emergent Turing Machines
Juyang Weng, Zejia Zheng, Xiang Wu
Strong AI requires the learning engine to be task non-specific and to automatically construct a dynamic hierarchy of internal features. By hierarchy, we mean, e.g., short road edge…
Why Deep Learning's Performance Data Are Misleading
Juyang Weng
This is a theoretical paper, as a companion paper of the keynote talk at the same conference AIEE 2023. In contrast to conscious learning, many projects in AI have employed so-call…
Post-Selections in AI and How to Avoid Them
Juyang Weng
Neural network based Artificial Intelligence (AI) has reported increasing scales in experiments. However, this paper raises a rarely reported stage in such experiments called Post-…
Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes
Juyang Weng
Universal Turing Machines [29, 10, 18] are well known in computer science but they are about manual programming for general purposes. Although human children perform conscious lear…
A Model for Auto-Programming for General Purposes
Juyang Weng
The Universal Turing Machine (TM) is a model for VonNeumann computers --- general-purpose computers. A human brain can inside-skull-automatically learn a universal TM so that he ac…