AI in CNC machining

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.

Artificial Intelligence & Manufacturing Industry

David Gelernter, famous artist, writer, and a Computer Science Professor at the Yale University was quoted in an article titled Artificial intelligence isn’t the scary future. It’s the amazing present published in Chicago Tribune, “The coming of computers with true human-like reasoning remains decades in the future, but when the moment of “artificial general intelligence” arrives, the pause will be brief. Once artificial minds achieve the equivalence of the average human IQ of 100, the next step will be machines with an IQ of 500, and then 5,000. We don’t have the vaguest idea what an IQ of 5,000 would mean. And in time, we will build such machines–which will be unlikely to see much difference between humans and houseplants”.

Artificial Intelligence –It’s everywhere

There was a time when Artificial Intelligence was something that was considered futuristic and what Professor Gelernter said might have sounded insane.But no more. Especially when we’re using so much AI in our daily lives.

For example, GPS is now smarter than spatial navigation, we have started to rely heavily on Apple’s Siri and Amazon’s Echo. AI has made a lot of progress quickly and it’s because of improved processing, algorithms and a lot of data. With the help of Machine Learning, a lot of data can be analyzed, and critical insights can be provided.

Known as the major propellant of the Fourth Industrial Revolution, AI is expected to wipe out nearly half of the human jobs (mostly the white collar jobs) in the next 20 years. Every industry will opt to replace humans for work that can be performed with the help of AI. Algorithms and automation are a major threat as they offer improved efficiency at a lower price.

The American Manufacturing Industry today

The American Manufacturing Industry has suffered for long, more so since the Great Recession in 2000s. The growth has been sluggish and the key reasons for this are goods manufactured in U.S. have always been more expensive for the foreign market due to the strong dollar, and also due to the major cutbacks in the Energy Sector. In 2010, China replaced US as the largest manufacturing country in the world.

Some of the leading manufacturing industries in US are steel, automobiles, chemicals, food processing, consumer goods, aerospace, and mining.

 How will AI have an impact on Manufacturing Industry?

The manufacturing industry has always been open to adopting new technologies. Drones and industrial robots have been a part of the manufacturing industry since 1960s. The next automation revolution is just around the corner and the US Manufacturing Sector is awaiting this change eagerly. With the adoption of AI if companies can keep inventories lean and reduce the cost, there is a high likelihood that the American Manufacturing Industry will experience an encouraging growth. Having said that, the manufacturing sector has to gear up for networked factories where supply chain, design team, production line, and quality control are highly integrated into an intelligent engine that provides actionable insights.

Virtual Reality

Virtual Reality will enable new tools that help to perform testing in the virtual world. It allows people, remotely located, to connect and jointly work on situations that require trouble shooting. Simulation and product-creation can help reduce the manufacturing time drastically.

 Automation

Automation will help the manufacturing industry reach a high level of accuracy and productivity, a level that is even beyond human ability. It can even work in environments that are otherwise dangerous, tedious or complicated for humans. Robotics, which are expected in the future, will have capabilities like voice and image recognition that can be used to re-create complex human tasks.

 Internet of Things (IoT)

We all have started to use smart sensors. It is a little known fact that the IoT functionality will have a huge role in the manufacturing industry. It can track, analyze production quotas, and aggregate control rooms, the technology can also help to create models for predictive maintenance. When combined with augmented and virtual reality and analysis of customer feedback, there can be a number of meaningful insights to help towards innovation.

 Robotics

With the promise of increased output, robots are already being used in the manufacturing companies. But with their growing intelligence, the workforce in factories will soon be replaced by robots. Every stage can be closely monitored with the help of sensors and data can be shared with AI and analytics software. Increased output, defect detection and corrective action is much faster and the entire production cycle is way more efficient.

 Conclusion

Unlike the big fear of human jobs being lost to AI, the manufacturing will be driven towards higher productivity and increased efficiency with the help of AI. The workforce can focus more on innovation and new operations, and contribute to the growth and bright future of the American Manufacturing Industry.