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Stanford University

Stanford Seminar - Scalable Intelligent Systems Build and Deploy by 2025

Stanford University via YouTube

Overview

The next stage of human-computer evolution, Scalable Intelligent Systems, integrates people, communications, and computers into a unified cooperative environment. Think of it as moving beyond Google, Facebook, Instagram, and the other social networks. Scalable Intelligent Systems can be actualized by 2025 and are likely to include the following characteristics:

  • Interactively acquire and present information from video, web pages, hologlasses, online data bases, sensors, articles, human speech and gestures, etc.
  • Real-time integration of massive, pervasively inconsistent information
  • Close human collaboration using hologlasses for secure mobile interaction.
  • Organizations of people and IoT devices (Citadels) for trustworthiness, resilience, and performance with no single point of failure
  • Scalability in all important dimensions including no hard barriers to continual improvement in the above areas.
  • There is no computer-only solution that can implement the above by 2025. Consequently, people are fundamental to a Scalable Intelligent System.

Scalable Intelligent Systems, as envisioned, will be the most complex software that has ever been created. Every advanced country in the world has recently introduced its own development plan. The development of Scalable Intelligent Systems will create enormous social and policy challenges.

For example, Scalable Intelligent Systems can be of enormous value in Pain Management. Pain management requires much more than just prescribing opioids and other pain killers, which are often critical for short-term and less often longer-term use. Organizational aspects play an important role in pain management. Scalable Intelligent Systems can help users with appliances, entertainment, exercise, hypnosis, medication, meditation, physical therapy, and collaboration with medical helpers.

Building and deploying a Scalable Intelligent Technology stack is possible by 2025. The rewards are high but the amount of effort required is substantial. We have to get to work.

Syllabus

Introduction.
I need your help!.
Scalable Intelligent Applications.
Readers Writer Scheduler.
ReadPriority Implementation Readers Writer Manager.
myScheduler Facet.
Scalable Actors.
Security.
Invariant Behavior.
Actor Many Cores Thousands of general purpose cores on chip.
Multiple overlapping goals.
Opposites.
Inconsistent Goals.
Inconsistency Robustness Carl Hewitt and John Woods assisted by Jane Spurr.
Excluded Middle Non-contradiction infers Excluded Middle.
By Contradiction Contrapositives infer By Contradiction.
Inconsistent Descriptions.
Hacking* Deep Correlation Classifiers.
Tip of Iceberg?.
Deep Correlation Classifiers Are Easily Fooled by Different Poses of Familiar Objects.
Robust Adversarial Examples.
Profound Failure in Communication.
Put Deep Correlation Classifiers in MIRO.
Military Citadels.
Citizen Citadel.

Taught by

Stanford Online

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