AI and Where It Can Lead Us
Artificial Intelligence in its entirety is the future of our world. Whether you like it or not, as technologies continue to advance, we can cultivate new products that increase production, revenue, and goods with the help of Artificial Intelligence.
Tesla’s Robot and Jobs
A great example of this would be Tesla’s factories. Although Tesla’s factories might not be giant robots powered by artificial intelligence, they have giant robots powered by artificial intelligence in them that are mass-producing about 1000 Teslas/day as some sources say.
Tesla’s robots such as “Wolverine” and “Ice Man” can gently pick up 800+ lbs of the car’s frames and move them from one production line to another, reducing the chances of ever getting in the way of someone and potentially injuring them. However, as cool as this may be, it brings me to my next point, jobs. The introduction of different types of machines ever since the industrial revolution has led to job loss, but every time a job is lost another is created. When people hear about robots working in large-scale factories, the first thing that comes to their mind is job loss. People fail to realize while blue-collar jobs are being lost, white-collar jobs are being created, because you need people to work on those robots and maintain them. Not only does this create a new genre of jobs, but it also helps create a new area of understanding and knowledge that can have a plethora of different skill sets.
As a result, AI essentially helps create jobs that probably pay more than working 9–5 in dangerous factories because it takes vast knowledge and skillsets to manage those jobs.
AI in the Medical Industry
Aside from helping create new jobs and mass-producing cars, AI can also help the medical industry by creating new medications and helping detect malignant diseases before they become too critical. Doctors and scientists can use many different neural networks (method that teaches computers to process data in the way a human would) for many different scenarios as they see fit. For example, one popular neural network that is used to differentiate images or analyze visual imagery is called the Convolutional Neural Network (CNN).
CNNs can be used in medical imaging by feeding hundreds and thousands of malignant disease images and normal images (images without diseases) and training the computer to detect patterns that constitute the disease. Later on, the computer can be used in real-life situations where it can detect patterns of diseases far more quickly than if someone were to thoroughly analyze those patterns and come to a conclusion.
Robotic Surgery
Aside from medical imaging and detecting diseases, AI has also seeped its way into surgeries. With the development of new technologies, robotic surgeries are also getting popular. Although the da Vinci robot model was approved by the FDA more than 2 decades ago, it has gained popularity as surgeons can precisely perform surgeries on vessels as small as 0.3 millimeters. However, as great as this may be, the robot has its disadvantages at the price tag of 2 million dollars, and the additional cost to maintain and operate it.
Nevertheless, as technologies continue to improve, new robots and forms of AI will be cultivated that overall benefit the common man and our society as a whole.