Artificial engineering and artificial intelligence have found their way in almost all industries. When mixed with controlled machining or CNC machining, AI can help remove the manual labor in redundant tasks. Generally, the algorithm of the software can be designed in such a way that after receiving the feedback in a specific situation, the decision can be actualized with or without human consultation. In case of repetitive tasks, requiring no consultation, the software and execute the required steps, eliminating manual labor.
For example, with precision CNC machining, you can design a program to shut off a car if it is left unattended for a few minutes. If you leave a car running in the parking lot, or your garage, an embedded code of AI might leave you a message to alert you that the car is on. If there is no response on the owner’s part (your part), the algorithm will dictate the engine to be shut off after 8 minutes.
The CNC machining algorithm can be used in other industries also, like smartphones, which can help you provide situational alerts, or devices, which will help you, understand the dangers surrounding you.
So, now that you know about the different industries, which can use artificial intelligence, let’s have a look how AI can help you speed up your work. Here are some things artificial intelligence can do better than human beings can.
Search the Internet
Well, most of us have heard about Google’s RankBrain algorithm. Do you know that it has been developed based on artificial intelligence? It is actually a machine learning based artificial intelligence, which handles all the search queries for Google. Since RankBrain understands words and phrases, it can easily predict the top ranking pages, compared to human counterparts. Although it is being tweaked even now, the base algorithm for Google’s RankBrain remains unchanged.
Work In Inhumane Conditions
Well, robots don’t have feelings. This is why they can survive in places without oxygen or where no human beings can survive. This is why artificial intelligence is essential for surveillance in deep oceanic trenches, radioactive locations or even in outer space. The only problem associated with CNC machining in AI is that it waits for human interruption in certain crucial decision making. This makes the process not only time consuming, but also to some extent useless when the AIs need to function independently.
If you own an iPhone or even Windows 10 phone or OS, you’d have come across Siri and Cortana. Both of them are some modifications of artificial intelligence helping you achieve what you need. In fact, if you use Google’s voice assistant in any of your Android devices, you’d see how Google responds to your set of commands, and even opens your task list and checks off tasks as per your command. While this might seem freaky and surreal, with a proper set of coded instructions, any artificial intelligence can achieve the desired result you’re looking for. All it needs is a decision making loop.
Artificial Intelligence in Medical Science
One of the biggest achievements of artificial intelligence is perhaps its progress in the medical field. Even if a physician has enough exposure to patients, proper and accurate diagnosis can be a problem. However, with the artificial intelligence in place, the process can not only becomes smoother but also more accurate.
On average, a physician spends 160 hours per month to keep track of the latest medical breakthroughs. As such, remembering the breakthroughs and the latest symptoms of a patient, and applying them in regular diagnosis can become problematic for human brain. Compared to this, IBM Watson can do the proper diagnosis with a fraction of a second. Additionally, the AI’s accuracy rate for diagnosis of lung cancer is 90%, which is quite high compared to the accuracy rate of veteran human physicians (50%).
At the end of the day, even if AI has found its way in different industries, it cannot replace human intelligence totally because of its lack of general reasoning. While a robot or AI is perfect in doing each of the tasks outline above individually, the same might not be true when it comes to completing a different set of tasks, which it has not been programmed for. This makes it tough for AI to replace human intelligence, unless more research is done on it.