Humanoids, as their name gives it away, are robots that look like humans. We all have seen them in movies where they do everything human beings can, and sometimes more, while appearing positively indistinguishable from people. Currently, science, although still way behind, has come a long distance in terms of achieving that aspiration.
One can easily argue humanity’s primary mission on earth is to learn, discover what is hidden, and make life a little bit easier than it was before. Moreover, sharing of what
one has learned has been at the heart of this learning endeavor.
The advent of electronic computer and the Internet has helped in both the discovery and sharing efforts significantly. It has also changed the way people acquire, analyze and disseminate information. Starting from the use of search-engines to fully automated class rooms experiences and even artificial intelligence tutors; the teaching learning world has changed considerably.
At first, it was all about creating illusions. Asking questions endlessly was the golden trick back when a computer parody by the name of Eliza kick-started the era of computers conversing with human beings in the 1960s. With a restricted set of scripted rules, the bot had no clues to grasp the user input, let alone being a good friend of a human.
The long awaited grand event for the Makers Initiative was underway at the premises of Ministry of Science and Technology on March 3, 2017. While I was watching the little cute toys on the pitch, it occurred to me that they never get tired; lifeless expressions! Then I saw the competing students and ah and I saw the familiar signs, weary, worried, but determined. How did we get here?
“Poverty can put you in a difficult state of mind, and a difficult state of mind can make it more difficult to escape poverty”. Jamele Rigolini.
1) The weak link in Economics
The science of Economics had always been a mystery for the layman, but the strange thing is Economics has never been an unambiguous discipline even for those who trained to be professional Economists. To make matters more complicated, regardless of our insight into economics, we still live by it!
The commercial value of artificial intelligence technology is now increasingly obvious across the board, with large companies in multiple sectors investing billions upon billions. But the importance of AI goes well beyond its direct financial value; there is a fundamental transformative potential here, which cuts at the core of human society, human life and human values.
From where shall I begin? My six hour jail time in Juja Police station, my dramatic door to door salesman experience with Kenyan Universities, or how the Ethiopian Government officially advises its travelling citizens to buy dollar from the black market instead of providing it through its commercial banks? Though it’s customary to follow the chronological order, I think I will start from the middle.
Nairobi, adorned with the dying sun’s reddish light, looked a little less scary this time. On my first visit in 2016, I was so startled at the site of the city’s monstrous traffic jam; the entire freeway from the Jomo Kenyatta International Airport to the city centre, with hundreds of cars stuffed, looked like a graveyard built for cars in the middle of a swamp.
Nanotechnology: could it actually solve our problems or turn out to be a new one?
Nano is 100 nm in size, one Nanometer is 10-9 meters or about 3 atoms long. By definition, the nano world is placed between the atom and the solid molecules. “Nano-technology mainly consists of the processing of separation, consolidation, and deformation of materials by one atom or one molecule.” This interface has been used by chemists for a while, and currently with the assistance of physicists, they [chemists] are able to understand and even manipulate it in order to create manageable and more complex structures than the ones found in nature.
According to The U.S. National Nanotechnology Initiative, nanotechnology is defined as: “The science, engineering, and technology related to the understanding and control of matter at the length scale of approximately 1 to 100 nanometers. However, nanotechnology is not merely working with matter at the Nanoscale, but also research and development of materials, devices, and systems that have novel properties and functions due to their Nanoscale dimensions or components”.
Collecting data that can be analyzed using patterns and trends dates back to the Bayes’ theorem and ‘regression analysis’ that were used in the 1700s and 1800s respectively. For decades, supercomputers have been used to collect data, analyze market research reports, determine patterns of customer preferences, product usage, and the general demand and supply patterns in order to increase revenue and decrease unnecessary costs.
In plain terms, “data mining is a process of analyzing data from different perspectives and summarizing it into useful information”. Although the technology have been around for a while, advancements in computer’s processing power, disk storage, and statistical software have dramatically increased the accuracy of ‘data analysis’ while driving down it’s cost.
Before digging any deeper into data mining, let me first explain the difference between data and information. Data is collection of any facts, numbers, or text that can be processed by a computer.
I’ve been living in Addis Ababa, Ethiopia for the past three months, during which time I’ve been able to spend a lot of time at iCog-Labs’ office and observe what type of work they are doing. Yesterday I visited iCog-Labs’ first Anyone-Can-Code (ACC) lesson, where iCog staff began to teach simple coding to selected High School girls.