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Futurist: Thinking About Machine Learning, Machine Intelligence and Robotics. How Will It Make Life Better?

The impact of MI (AI) and Robotics is already here. But there is so much more to come!

The impact of MI (AI) and Robotics is already here. But there is so much more to come!

A conversation about Robotics and Machine Intelligence

In my role as a Futurist in looking beyond the horizon of today, I consider many things. Consider may be the wrong word a better word is think. One of the things that I think about and spend time on is two technologies that will have the greatest short-term and long-term impact on humanity. The first is the rise of what is an again; I wouldn't say I like the term artificial intelligence; I much prefer the term Machine Intelligence. The second is the rise of robotics. Robotics is the study of and building of robots. So I will not dive into the humanoid versus non-humanoid robot argument and will not further attack the machine intelligence versus artificial intelligence argument. My goal today is to talk about how Robotics and Artificial (machine) Intelligence work together to benefit our society.

The first area where the two are merging today is the area of robotic surgery. Now robotic surgery still has a human involved on both ends. What robotic surgeons die is they have a network connection, and an automatic setup, and they work or operate remotely on a human being. Remote Robotic surgery has two critical impacts. First, the best possible doctor can remotely perform the surgery. That doctor has more time because they no longer have to travel to serve the specialized surgery. Now in a robotic surgery scenario, you have two automated devices connected over a network, one having the surgeon and the other having the patient. Then, there will be other surgeons in the operating room in case of a problem. Adding Machine intelligence to this is powerful. Looking back over the 200 or so surgeries like this the human surgeon has performed and issues recognized. Machine intelligence can look over 10,000 or more simultaneously and see even more points. So that the robotic machine knows what should happen next, it can then notify the remote surgeon of a potential issue or problem based on what it has observed.

Another area for the next area that I want to talk about is athletics. If we consider the rise of increasingly automated systems within athletics, we see more and more reduction hopefully of errors by a human in the athletic endeavor. Referees and umpires, basketball, football, and soccer referees, and magistrates in baseball make mistakes. They are, after all, human beings. An automated system would greatly increase the capabilities within the game. The area where I suspect the quickest application of machine intelligence patterns learning, and machine learning would be applying that directly to the replay process. Machine intelligence can replay something a thousand times when it takes a human to replay it once or twice. All you would need in that scenario is a proper adaptation of the rules to what the machine would require to find actionable information.

The future looks bright!

The third item for today concerns jobs or activities that can be dangerous for humans. In particular, I'm thinking about or talking about the concept of jobs that cause injuries. The injuries could include those caused by machines in the workplace. It could also be repetitive stress injuries. In either case, removing the human increases the safety of the system. Not all plans are designed for human safety first. The reality of a human having their hand crushed and a robot having their mechanical hand crushed is significant. The robot can get a new functional hand. The human may lose the use of that hand forever. What machine intelligence and machine learning will be able to do on the factory floor is increase the automation rate. You can implement new factory processes with a single keystroke. You'll still need humans on the factory floor to monitor and manage the machines. But they will be at less physical risk. That's a good thing in the long run.

But I did want to, and with one simple thing. Machine intelligence is different. Machine intelligence creates a thinking process that can respond to multiple variables like a human's brain. Machine learning is where the machine can apply patterns to information or data and optimize the result based on applied design. We are using machine learning, machine intelligence, and robotics in the three scenarios I've discussed. On a factory floor, you may have a machine-learning and powered robot. It can also incorporate machine intelligence, where a robot can respond to environmental variables. The last piece is a standalone robot with no intelligence, remote-controlled or minimal intelligence whatsoever. These things are incredibly interesting and will be ubiquitous within our society over the next 3 to 5 years.

This article is accurate and true to the best of the author’s knowledge. Content is for informational or entertainment purposes only and does not substitute for personal counsel or professional advice in business, financial, legal, or technical matters.

© 2023 DocAndersen

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