David Gelernter, one of the famous artists, writers, and mainly a Computer Science Professor at Yale University, once said in an article titled “Artificial intelligence isn’t the scary future.” It is one of the best presents published in the Chicago Tribune -: The upbringing of computers with true human-like behavior remains very far in the future, but when the moment arrives, the pause will be brief. Once artificial intelligence experts achieve the equivalence of the average human, the next step will be machines that can possess higher IQ, and then more. And in time, we will build tools that wouldn’t show much difference between humans and houseplants.
Artificial Intelligence –It’s everywhere
There was a time when Artificial Intelligence was just a topic of science fiction. Today it is serving in almost all the sectors of business is slowly becoming the number one asset for a few industries. Today, we use AI in our daily lives; for example, GPS is now easier and faster than spatial navigation; we depend heavily on Apple’s Siri and Google’s Assistant. AI has made immense progress, and it’s mainly because of the impact of enhanced processing, algorithms, and a massive amount of data. With the help of AI and Machine Learning, a humongous amount of data can be analyzed, and potential insights can be provided.
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AI in Manufacturing – The challenges of robots
The robot has several tasks and challenges – from determining its position to acknowledging parts location to handling gripper operation, creating optimal travel paths, and averting people and machine parts. Robots are very different from humans: how? Humans have five senses, an ‘out of the box’ robot is practically pretty dumb having zero – vision, touch, smell, etc. To create a robot with such ‘senses,’ one needs to equip sensors that enable the required information. But the more important thing is the need to integrate all those inputs into a big picture of the operating environment, where AI is a potential asset for people in businesses.
Another challenge is the lack of rules and ethics for implementing AI. Also, there are many types and designs of AI and AI elements than one can imagine – from NLP (Natural Language Processing) to Bayesian inference and everything in between. Each has its strengths and weaknesses; so, bringing them together is how new and more robust AI processes develop. In the final thought, it is basically like trying to simulate 2000 years of evolution, which has provided humans with the ability to make rational decisions with fewer efforts.
AI in Work Place – Tomorrow´s automation landscape
The trend for home automation provides an excellent clue to the future. One can expect several platforms to implement AI skills, each dedicated to deal with various manufacturing problems, for instance, voice recognition for supporting, security, manufacturing, augment new worker training, etc. Similarly, the AI will be invisible, just like a robotic room cleaner, which can clean the floor, not because it has AI. AI will be implemented at all levels of production processes, from cloud systems to analyze demand to device embedded diagnostics helping in fast decision making, reducing unnecessary network loads.
But this is not the world of tomorrow, and we are already witnessing it happening as we breathe. For instance, automated robot bearing insertion payoffs from a 65% reduction in setup time; farmers handle plant nurseries with less staff and have better product (plant) adoption, while robots that can identify depth are 30% more fortunate to pick random parts from picking bins.
Artificial Intelligence – Virtual Reality
Virtual Reality will provide new tools that aid in performing testing in the virtual world. It enables people, remotely located, to connect and work on situations that require troubleshooting in real-time. Simulation and product-creation can be the smartest and the easiest help to reduce the manufacturing time drastically.
AI in Work Place – Automation
Automation will change the manufacturing industry and help them reach a high level of accuracy and productivity. AI can bring a level that is even beyond human ability. It can work in places that are otherwise dangerous, tedious, or impossible for humans to work. Robotic assistance, which is expected in the future, will have abilities like voice and image recognition that can be used to re-create complicated human tasks.
Internet of Things (IoT)
We all have used smart sensors. It is a known fact that IoT functionality will have a significant role in the manufacturing industry. It can easily track, analyze production quotas, and reinforce control rooms, and the AI can also help in creating models for predictive maintenance. When combined with virtual and augmented reality and analysis of customer feedback, there can be several potential insights to help towards innovation.
Robotics
With the promise of enhanced yield, robots are already being implemented in the manufacturing companies. But with their rapidly growing intelligence, the workforce in industries will soon be replaced by robots. Every step can be closely monitored with the help of sensors and the available data. This information can be shared with AI and analytics software for better performance. Increased output, defect detection, and remedial action is much precise, and the entire production is way more efficient.
Conclusion
Unlike the main fear of human jobs being lost to AI, the manufacturing will drive industries towards higher capacity and increased efficiency with the help of AI. AI has become one of the vital areas to focus on in the business world. Be it a small or big business, and AI has helped several organizations, managers, and workers more efficiently. The other benefits of AI are tending to a particular problem, understanding its complexity, and produce new products and solutions; thereby, improving their outcomes and results.
Artificial Intelligence will enable companies to focus on innovation and new functions and commit to the growth and prosperous future of the Manufacturing Industry.
