Boaz Kimambo
New Member
- Aug 29, 2021
- 4
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When speaking of the modern-day technology world we cannot carve out Artificial Intelligence and Machine Learning. Some of you might have heard about this interesting and fascinating technology aspects but maybe we don’t really understand what capabilities come along with them. I want to talk about them from a technological and professional point of view and then later use layman language to address these facts.
The first question anyone would ask themselves is a very simple, and yet a very important question: What is Artificial Intelligence and Machine Learning?
In a layman’s language artificial intelligence is giving a non-human object or device the human intelligence, that simply means giving the device the thinking and decision-making capability of human beings, now the next question will be how do we make devices intelligent?
That’s where Machine Learning comes into play, we need to teach the device using some sophisticated algorithms and train the model to understand and interpret real world phenomena just as human beings do. Think of it like teaching a machine to understand real world facts just as the human brain does. Training a machine learning model is itself another professional field of expertise that I don’t want to dive in right now.
Has it ever crossed your mind what happens when you type and your phone’s keyboard can magically complete certain phrases and sentences without the need for you to type them in? Well, you just trained a machine learning model that actually learns the usage patterns of phrases and vocabularies you frequently use and over time can predict when and where to use those vocabularies. That’s how fascinating it gets. But it does not only end there it gets as complex as building a human robot “Sophia.” Now if you have a passion for innovation and scientific evolution, that must be a familiar name. It is one of Hanson Robotics project, and it clearly depicts the capabilities of artificial intelligence and the boundaries it can break. The fact that I am even using “it” to address Sophia is amusing, because some innovators use “her” to identify Sophia. Why? That would probably be because of the insane development the robot has gone through and the capabilities of speech and emotional recognition it has. Now well Sophia would be another talking point of its own, lets save it for another article sometime in the future.
I wouldn’t like to end the narration without hinting autopilot. Well, some of you might regard to these as self-driving cars or driverless cars, that’s okay. But my main focus is on the technology behind the feature and options the cars do offer. For example, Tesla (a prominent electric and autopilot cars manufacturer) has ridiculous extended autopilot to higher heights allow their cars to cruise through busy cities, complex intersections and sophisticated roads. We all are puzzled with how this has been made possible, but if we look at it in a simplified approach, Tesla simply embeds cameras and sensors on the car that help the model within the car to learn and understand the road it is cruising through. Data obtained from these devices are fed into the algorithm that in turn decides what has to be done for what situations. Say the sensors do realize that there is car approaching at a very high speed in the opposite direction, the car will automatically engage emergency brakes and look for a way to evade the chaos. And let’s say the car is on autopilot and is approaching a four-way junction, the sensors will be focused on the traffic lights LED if there in sight, when a green signal is issued check if there are any obstacles blocking the road, and if there is nothing, start moving in the desired direction. You’d probably be thinking this fantasy, but it is the intelligence been embedded in a device to think and work like a human does.
With this ridiculous evolution in technology comes a lot of challenges and risks. The first thing anyone will think is probably automation, that's right! One would argue that automation is handy and fancy, but when you flip the other side of the coin you find unemployment. Why did I say that? Of course, with automation comes intelligent robots and devices that work just as efficient as human beings do at a very low cost and they don’t get tired, and well not to forget being emotionless. What they are programmed to do is what they will exactly do with perfection, no chances for human errors. In some parts of the world robot waiters have been deployed to several restaurants, that might be fancy for the restaurant’s customers but not the waiters, because they’re on the verge of losing their jobs. You’d argue with me that in a country like Tanzania that would take decades to happen, but ask yourself when Apple releases a new line of products how long does it take before civilians have them at the comfort of their hands? That itself shows the urge to quickly adapt advancement in technology and the easiest and most affordable way to serve the mass.
Another very interesting talking point is how can you individually benefit from such revolution in science and technology? Now I do realize that not everyone can be a sophisticated tech expert or geek, that has been left out for the experts! The main way we can benefit from automation is first identifying areas or fields in which automation can be implemented with ease, after sorting this out, we need to know what kind of intelligence are we trying to automate in the industry. The mode in which this intelligence is automated or simulated is not our concern. Another way is playing it safe. If I’d ask you today, Will the tasks or main activities that you perform at your workplace be still available in the next 20 years or so without been automated? If the answer is no, then the flood of unemployment I was hinting earlier will probably carry you along. So, it would be a great choice to look into something that actually needs the human intelligence and not algorithmic intelligence to get the tasks going at least in the next 20-30 years in order to be on the safety net. On the other hand, if the answer is yes, congratulations and welcome aboard!
Now I would not want to exhaust your energy and of course the word limit for the thread, with those few real time examples I hope you now have a picture of where modern technology is going to and what the future holds. Until then, PEACE!!
If you have found value in this article, please do not forget to vote!
For those using the web, on your top right-hand corner you will see an arrow pointing upwards please do click in that arrow just once and your vote will be submitted.
And if you're on mobile, on the top right-hand corner you’ll see an arrow with a rectangular boundary at the beginning of the thread just do press on it once and you’re good to go.
Also share with your friends so they can grab a thing or two from this article, let's spread the awareness.
Thank you!!
I will be posting a couple more stories and articles so just stay put, this is just the beginning.
The first question anyone would ask themselves is a very simple, and yet a very important question: What is Artificial Intelligence and Machine Learning?
In a layman’s language artificial intelligence is giving a non-human object or device the human intelligence, that simply means giving the device the thinking and decision-making capability of human beings, now the next question will be how do we make devices intelligent?
That’s where Machine Learning comes into play, we need to teach the device using some sophisticated algorithms and train the model to understand and interpret real world phenomena just as human beings do. Think of it like teaching a machine to understand real world facts just as the human brain does. Training a machine learning model is itself another professional field of expertise that I don’t want to dive in right now.
Has it ever crossed your mind what happens when you type and your phone’s keyboard can magically complete certain phrases and sentences without the need for you to type them in? Well, you just trained a machine learning model that actually learns the usage patterns of phrases and vocabularies you frequently use and over time can predict when and where to use those vocabularies. That’s how fascinating it gets. But it does not only end there it gets as complex as building a human robot “Sophia.” Now if you have a passion for innovation and scientific evolution, that must be a familiar name. It is one of Hanson Robotics project, and it clearly depicts the capabilities of artificial intelligence and the boundaries it can break. The fact that I am even using “it” to address Sophia is amusing, because some innovators use “her” to identify Sophia. Why? That would probably be because of the insane development the robot has gone through and the capabilities of speech and emotional recognition it has. Now well Sophia would be another talking point of its own, lets save it for another article sometime in the future.
I wouldn’t like to end the narration without hinting autopilot. Well, some of you might regard to these as self-driving cars or driverless cars, that’s okay. But my main focus is on the technology behind the feature and options the cars do offer. For example, Tesla (a prominent electric and autopilot cars manufacturer) has ridiculous extended autopilot to higher heights allow their cars to cruise through busy cities, complex intersections and sophisticated roads. We all are puzzled with how this has been made possible, but if we look at it in a simplified approach, Tesla simply embeds cameras and sensors on the car that help the model within the car to learn and understand the road it is cruising through. Data obtained from these devices are fed into the algorithm that in turn decides what has to be done for what situations. Say the sensors do realize that there is car approaching at a very high speed in the opposite direction, the car will automatically engage emergency brakes and look for a way to evade the chaos. And let’s say the car is on autopilot and is approaching a four-way junction, the sensors will be focused on the traffic lights LED if there in sight, when a green signal is issued check if there are any obstacles blocking the road, and if there is nothing, start moving in the desired direction. You’d probably be thinking this fantasy, but it is the intelligence been embedded in a device to think and work like a human does.
With this ridiculous evolution in technology comes a lot of challenges and risks. The first thing anyone will think is probably automation, that's right! One would argue that automation is handy and fancy, but when you flip the other side of the coin you find unemployment. Why did I say that? Of course, with automation comes intelligent robots and devices that work just as efficient as human beings do at a very low cost and they don’t get tired, and well not to forget being emotionless. What they are programmed to do is what they will exactly do with perfection, no chances for human errors. In some parts of the world robot waiters have been deployed to several restaurants, that might be fancy for the restaurant’s customers but not the waiters, because they’re on the verge of losing their jobs. You’d argue with me that in a country like Tanzania that would take decades to happen, but ask yourself when Apple releases a new line of products how long does it take before civilians have them at the comfort of their hands? That itself shows the urge to quickly adapt advancement in technology and the easiest and most affordable way to serve the mass.
Another very interesting talking point is how can you individually benefit from such revolution in science and technology? Now I do realize that not everyone can be a sophisticated tech expert or geek, that has been left out for the experts! The main way we can benefit from automation is first identifying areas or fields in which automation can be implemented with ease, after sorting this out, we need to know what kind of intelligence are we trying to automate in the industry. The mode in which this intelligence is automated or simulated is not our concern. Another way is playing it safe. If I’d ask you today, Will the tasks or main activities that you perform at your workplace be still available in the next 20 years or so without been automated? If the answer is no, then the flood of unemployment I was hinting earlier will probably carry you along. So, it would be a great choice to look into something that actually needs the human intelligence and not algorithmic intelligence to get the tasks going at least in the next 20-30 years in order to be on the safety net. On the other hand, if the answer is yes, congratulations and welcome aboard!
Now I would not want to exhaust your energy and of course the word limit for the thread, with those few real time examples I hope you now have a picture of where modern technology is going to and what the future holds. Until then, PEACE!!
If you have found value in this article, please do not forget to vote!
For those using the web, on your top right-hand corner you will see an arrow pointing upwards please do click in that arrow just once and your vote will be submitted.
And if you're on mobile, on the top right-hand corner you’ll see an arrow with a rectangular boundary at the beginning of the thread just do press on it once and you’re good to go.
Also share with your friends so they can grab a thing or two from this article, let's spread the awareness.
Thank you!!
I will be posting a couple more stories and articles so just stay put, this is just the beginning.
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