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Teaching Industrial Autonomous Systems

Microsoft Reactor
114K subscribers
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314 views Streamed 2 years ago
Learn how to simplify the design, development and deployment of intelligent agents for your autonomous systems using project bonsai. You'll learn concepts such as Machine Teaching and deep reinforcement learning are using to build bonsai brains on the platform. we'll also provide real world scenarios of how project bonsai is being used in the industry. Episode 1: What is the session about? This session will introduce the concepts of Machine teaching and how we can use it together with Deep Reinforcement learning to train an intelligent agent for autonomous systems on Microsoft’s Project Bonsai. Who is it aimed at? Engineers/Developers/Anyone interested in AI & Autonomous systems Why should you attend? You’ll learn what makes autonomous systems different from other forms of AI and how you can build your autonomous AI on Microsoft project Bonsai. Any Prerequisites None Speaker Bio's Josh Ndemenge A cloud developer advocate for Data at Micros …...more
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Teaching Industrial

0:24

Question: How would you teach someone to balance a ball on a plate?

4:24

The evolution in control and optimization systems...

7:41

What are common Bonsai use case attributes?

9:15

Driving system optimization across key areas

10:20

What is a Bonsai brain?

11:25

Deep Reinforcement Learning

12:32

Project Bonsai Service Overview

15:20

Project Moab: a machine teaching hardware kit

17:38

Brain Design - Brain Implementation

17:47

Project Moab - Al Specification Document

17:55

Translating the Moab Al Spec into the bonsai brain

18:13

Project Moab: States and Actions

18:36

Activity Based Costing Analysis with AnyLogic

44:23

Questions?

51:03
Teaching Industrial Autonomous Systems
Learn how to simplify the design, development and deployment of intelligent agents for your autonomous systems using project bonsai. You'll learn concepts such as Machine Teaching and deep reinforcement learning are using to build bonsai brains on the platform. we'll also provide real world scenarios of how project bonsai is being used in the industry. Episode 1: What is the session about? This session will introduce the concepts of Machine teaching and how we can use it together with Deep Reinforcement learning to train an intelligent agent for autonomous systems on Microsoft’s Project Bonsai. Who is it aimed at? Engineers/Developers/Anyone interested in AI & Autonomous systems Why should you attend? You’ll learn what makes autonomous systems different from other forms of AI and how you can build your autonomous AI on Microsoft project Bonsai. Any Prerequisites None Speaker Bio's Josh Ndemenge A cloud developer advocate for Data at Microsoft who has a passion for building solutions that solve immediate problems in the society using Hardware (Electronics) Engineering, Data & AI. John Alexander John is a Sr. Machine Teaching Advocate on the Microsoft Autonomous Systems team. John has a passion for designing and building accessible experiences using machine learning coupled with vision, voice, touch, and virtual/mixed reality. He speaks regularly at conferences and is the co-founder of Kansas City .NET Meetup and KC Windows Mixed Reality meetup (now part of KCVR). Based in Kansas City, Missouri USA, John loves to paint, draw, game, do voiceovers, and spend time with his spouse and three children on all sorts of adventures. [eventID:16614]

Microsoft Reactor

114K subscribers
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