Jackreece Ejini

DEEP LEARNING The power of deep learning is in its ability to generalize patterns, in its most common application in image recognition, it takes an image and generalizes away the details of the image in a lossy way to arrive at the most abstract representation of that image such that when an image that possesses the same features as the one being generalized is presented to it, it recognizes it as the same image because it possesses the same features. This is very powerful and it is close to the way humans actually perform pattern recognition.

ELECTRONIC COMPUTERS With the availability of electricity, an agent charged with solving a sudoku puzzle by applying the greatest amount of intelligence possible will opt for the construction of a mechanical system that goes beyond the manual application of labour towards one where motive power is supplied by the agency of electricity.

What is intelligence? I will define intelligence not by using more words but by describing the actions of an intelligent entity, system or model. This is a far better approach because definitions in a natural language just try to use different words with which we are more familiar to describe terminology which we are not familiar with. Rather than following that approach which in most cases leaves us more confused than we started I will rather describe the actions of intelligence. I am writing this book with a special focus on people actively working in the field of Strong Artificial Intelligence (towards AGI type) because it seems the biggest problem in that field is actually describing the problem that they seek to solve. People in other fields who are curious about the question of Intelligence both natural and artificial are also welcome.

Introduction This book is filled with wild ideas! It is a product of long-term brooding over the topic of Intelligence and most especially how to build it. The thoughts contained in this work have consumed me for the greater part of my life on earth and I think it is about time I share it with the world.

We experience the physical world solidly. We touch a wall, we hold a cup and we feel the wetness of water but in reality, we are experiencing nothing because even the atoms upon which the physical world is based on is 99% space.

I have walked the path of programming and computers for many years and I have come to some very deep revelations about the core structure of computation most of which I had encoded in my book on programming available on Amazon . But what I want to talk about today is about the enlightenment that comes to those who know how to program in the Wolfram Language.

As human beings, we have some kind of time sense governing our actions. We know that we have a limited time on earth and we also have clocks and calendars governing our actions. We don't just free flow through infinite space-time, we have another kind of pseudo measure in our minds that govern how we plan our lives and execute our task.

Version 12 Launches Today! (And It's a Big Jump for Wolfram Language and Mathematica)

I get surprised and get philosophical when I think of the enormous computational power you can gain if you only decided to use the right tools. Programming should be fun and enjoyable but the reality is that with a poorly designed language and loosely connected tools programming ends up being like hard labour. Wolfram language remains the most elegant and sophisticated language for doing any kind of computation, be it Artificial Intelligence, Machine learning, Blockchain, etc. Read the full blogpost lunching the latest version 12 @ Wolfram Language Version 12

Most of modern AI is just data science. In the early days when we did what we now refer to as  GOFAI (Good Old Fashioned AI), we tried to give computers the ability to match humans in solving problems that were strictly in the domain of human cognition.

How you study AI will influence how capable you are in solving AI related problems. There are 2 approaches to studying and understanding AI and Machine learning in general, the Math view and the Code view.

I have been trying to find out what makes some people more successful than others. And although there are factors like being born into the right family and sheer luck, I have found out that to be successful requires a certain combination of factors that almost always seem to produce great results and thus are kind of like more responsible for success in any endeavour than those given by happenstance.

Artificial Intelligence is all the rage these days. Everyone is getting on the bandwagon but there seems to be a shortage of AI researchers everywhere these days. Although many people are talking about doing AI not many people are actually doing AI research.