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Progress has an accelerating rate of change due to the compounding effect of these technologies, in which they will enable countless more from 3D printing, autonomous vehicles, blockchain, batteries, remote surgeries, virtual and augmented reality, robotics – the list can go on and on.

These devices in turn will lead to mass changes in society from energy generation, monetary systems, space colonization and much more! All these topics and then some will be covered in videos of their own in the future.

In this video we will be discussing automation, which is often confused with being the ‘technological revolution’ in it of itself as it is what the mainstream focuses on, and for good reason, as how we handle automation will determine the trajectory or collective future takes.

00:00 Intro.
01:30 Progress Traps.
03:50 Automation.
11:51 Retraining.
13:55 The Gig Economy.

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The story of humanity is progress, from the origins of humanity with slow disjointed progress to the agricultural revolution with linear progress and furthermore to the industrial revolution with exponential almost unfathomable progress.

This accelerating rate of change of progress is due to the compounding effect of technology, in which it enables countless more from 3D printing, autonomous vehicles, blockchain, batteries, remote surgeries, virtual and augmented reality, robotics – the list can go on and on. These devices in turn will lead to mass changes in society from energy generation, monetary systems, space colonization, automation and much more!

This trajectory of progress is now leading us into a time period that is, “characterized by a fusion of technologies that is blurring the lines between the physical, digital and biological spheres”, called by many the technological revolution or the 4th industrial revolution — in which everything will change, from the underlying structure and fundamental institutions of society to how we live our day-to-day lives.

00:00 Intro.
01:30 Pillar 1 – Computing.
05:02 Pillar 2 – Global Connectivity.
08:08 Pillar 3 – Big Data.
09:48 Pillar 4 – AI
11:55 The Technological Revolution.

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In videos past of this deep learning series, we have going from learning about the origins of the field of deep learning to how the structure of the neural network was conceived, along with working through an intuitive example covering the fundamentals of deep learning.

The focus of this video then will be to tie up many of the loose ends from those videos, and really delve into some of the complexities of deep learning!

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In the last video in this series we discussed the differences between deep learning and machine learning, how and when the field of deep learning was officially born, and it’s rise to mainstream popularity. The focus of this video then will be on artificial neural networks, more specifically – their structure.

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The Dawn of AI :

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In the past few videos in this series, we have delved quite deep into the field of machine learning, discussing both supervised and unsupervised learning.

The focus of this video then is to consolidate many of the topics we’ve discussed in the past videos and answer the question posed at the start of this machine learning series, the difference between artificial intelligence and machine learning!

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What is supervised learning (+ regression, classification,…) :

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Artificial intelligence, machine learning – these words lately have been used synonymously – but should they be?

In this third video in our artificial intelligence series and as for the purpose of this machine learning series, I’ll seek to answer that question, so sit back, relax and join me on an exploration into the field of machine learning!

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In this video, we’ll be discussing 5G – more specifically, what it is and its ability to change our world! 5G is a core technology in establishing the digital infrastructure of the future and will be essential in how all of the over 50 billion mobile and connected devices by 2020 will communicate together!

[0:25–2:55] First we’ll take a quick look at the history of mobile networks, and how they have evolved over the years to present day.

[2:55–14:20] Following that, we’ll focus on the technologies a 5G network is composed of and the improvements in speed, latency, bandwidth and energy consumption they will bring.

[14:20–23:40] Finally, we’ll discuss the transition process from 4G LTE networks to 5G as well as the timeframe for the release of 5G to the public.

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The Ancient History of AI:

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Artificial intelligence has been a topic of growing prominence in the media and mainstream culture since 2015, as well as in the investment world, with start-ups that even mention the word in their business model, gaining massive amounts of funding.

While to many, the hype around AI may appear sudden, the concepts of modern artificial intelligence have been around for over a century and extending further, the concept of artificial intelligence and artificial beings have been in the minds of humans for thousands of years.

To better understand and appreciate this technology and those who brought it to us as well as to gain insight into where it will take us: sit back, relax and join me in an exploration on the history of artificial intelligence.

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This video is the culmination of documentaries that cover the history and origins of computing-based artificial intelligence.

[0:44–52:22] — The Thinking Machine

[52:22–59:26] — In Their Own Worlds (Claude Shannon)

[59:26–1:13:47] — The Thinking Machines

[1:13:47–2:07:42] — The Machine That Changed The World.

[2:07:42–2:34:36] — John McCarthy Interview.

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In the last video in this series, we discussed the biologically inspired structure of deep leaning neural networks and built up an abstracted model based on that. We then went through the basics of how this model is able to form representations from input data.

The focus of this video then will continue right where the last one left off, as we delve deeper into the structure and mathematics of neural nets to see how they form their pattern recognition capabilities!

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