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Stanford University

Stanford Seminar - SMILE- Synchronized, Multi-sensory Integrated Learning Environment

Stanford University via YouTube

Overview

Explore the concept of a Synchronized, Multi-sensory Integrated Learning Environment (SMILE) in this Stanford seminar. Delve into the importance of behaviors and habits in technology adoption, and examine the OHIO (Only Handle It Once) principle and its corollaries. Investigate application-specific time accuracy requirements and the value of data sharing in distributed systems. Analyze the evolution of computing platforms and the potential emergence of the Cyber-Physical Network as a new paradigm. Learn about projects like LongShot for long-range time synchronization and PowerDue for power-aware programming. Discover the potential of synchronized multisensory learning and explore ClickBAIT, a click-based accelerated incremental training system. Gain insights into the challenges and opportunities in developing integrated cyber-physical systems for enhanced learning experiences.

Syllabus

Introduction.
Observations.
Adoption Depends on Behaviors and Habits.
Some Implicit Criteria for Success.
Corollaries to the OHIO Principle.
An Hour in the Life of an OHIO Device Designed for a Five-year Mission.
Application-Specific Time Accuracy Requirements.
The Value is in Sharing Data.
Programing Today's Distributed System.
Programming in the Cyber-Physical Network.
A Perspective on our Challenges.
Platformization and lannucci's Law.
Computing Platforms: Past and Present.
Hypothesis: it will be the The Cyber-Physical Network.
Design Parameters of this New Computing Platform.
CCSG: Integrating Computing & Communications.
Projects.
LongShot: Long-Range Synchronization of Time.
Main Challenges.
How accurately can we timestamp?.
Semtech SX1276 Timing Characterization - Transmit.
Approach.
Two-Step Synchronization Result 3 Devices over a 2 hour period @ 4km.
PowerDue: Power / Energy Aware Programming.
Synchronized Multisensory Learning.
ClickBAIT: Click-Based Accelerated Incremental Training.
Results: Classification.

Taught by

Stanford Online

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