#5 – Mind Maps

In AI Simplified Episode 5, we chat about Mind Maps.

Skip, recap, or review with timestamps:

0:00 Introduction
2:29 Mind maps are used to present ideas
3:15 Mind Maps help maintain coherence & are a useful bridge between conceptual computing and report out
6:25 Mind Maps can serve as more than a bridge
7:02 Mind Maps help increase business productivity
8:09 Methods to generate mind maps
9:15 Report out as NLP / Dashboard
11:10 How ideas interrelate with each other
11:50 How language plays a role into how we think as humans
12:45 Processing meaning
13:45 Mind maps don’t work for everything
15:00 Linear communication is difficult to remember
15:55 Pictures stay in our window of consciousness longer
16:39 Highly immersive reading experiments
18:20 Highly immersive predictive powers
18:47 Highly immersive experiences at work
21:17 Mind maps help complement our minds
22:02 Distributing load between language centers and social centers
22:41 Language is a new thing, and takes energy
24:52 Using mind maps in the classroom
25:29 > number of modalities = better retention
26:15 Idea of the extended mind
27:29 People feel connected to vehicles
28:25 Composing music
29:35 I lost my phone!
30:42 Amjad loves extended mind concept
31:22 Access to tools play a role in cognitive behavior
32:13 Brain doesn’t care where signals are coming from
32:46 Non-invasive extensions of our mind
33:04 Is extended mind a metaphor?
34:38 Smart prosthetics
35:00 Minds create internal representations
35:56 Mind Maps 101
37:25 Digital mind maps are awesome
38:14 Organizing mind maps, trees, branches, word clouds
39:45 AI-related mind map use cases
40:25 West World
41:39 Lego Mindstorms
42:38 AI Agents Producing Mind Maps
43:30 Francois Chollet: On the Measure of Intelligence
44:58 Douglas Hofstadter: Surfaces and Essences: Analogy as the Fuel and Fire of Thinking
46:29 High dimensional analogies can connect things
49:04 Other relevant books

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Why a podcast about human-centered AI?

People are either talking about artificial intelligence (AI), machine learning, deep learning, etc. in a very technical way or not at all. Having studied Computer Science and Advanced Analytics and created an AI - advanced analytics supply chain company, I understand first-hand how valuable the field is, but not everyone does. I want to change that. We can all learn principles of AI and implement them in very practical ways. Whether you want to automate a part of your business or create a new business altogether, AI can help you. My goal through this podcast is to simplify AI.

Calling it a podcast gives you a broad understanding of how we'll communicate, but the format will be much more engaging than just audio. However, you can listen to AI Simplified like a traditional podcast too.

Amjad HussainFounder + Chief Executive Officer, Algo

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About the host

Amjad Hussain is an entrepreneur at heart. He founded Algo where he is the CEO during the day and AI lego blocks designer at night. He has built an intrinsically motivated global team of deep business domain experts, AI architects, computer scientists and software engineers. Algo is an always on full stack platform with deep learning, augmented reality and workflow automation woven at its core. The platform has a conversational virtual business analyst persona as its primary user interface. The company is enjoying sustainable growth creating tremendous net new value for its customers world-wide.

Amjad completed his Bachelors in Electrical Engineering with Honors from UET Lahore. He earned his Master’s degree in Electrical Engineering & Computer Science from UMIST, in the United Kingdom and an Advanced Analytics MBA from MIT. He has completed general management programs at Harvard and Stanford business schools. Amjad deeply cares about ethical issues surrounding AI and its societal impact.