Innovation-July-August-2023

AI APPLICATIONS IN ENGINEERING AND GEOSCIENCE

Quality Control and Inspection: Visual inspection AI can be used in quality control to identify defects, anomalies, or deviations from desired specifications. Process Optimization: Analyzing data and identifying patterns through AI is used to improve efficiency and reduce waste in a number of applications, such as supply chain management and energy consumption. Robotics and Automation: Machine learning algorithms enable robots to learn from data and adapt to dynamic environments. It also applies to autonomous vehicles, unmanned aerial vehicles, and robotic systems.

AI continues to make strides in several fields, including natural language processing, robotics, and health care. Here are some of the areas where AI is employed in engineering and geoscience: Design and Modelling: Generative algorithms use AI for design optimization and simulation based on specified constraints and objectives. Predictive Maintenance: A proactive approach using AI to keep facilities and equipment running optimally by anticipating and preventing failures; it can also reduce downtime and improve performance. “If you’re relying on the use of a tool, you’re still responsible for the output, and you should do things to confirm that that tool is producing sensible results. Engineers using those tools need to make a judgment about whether they trust the vendor. I would be skeptical of a vendor who says this is 100 percent perfect. Anyone should be skeptical of that.” Diemert says some vendors provide assurance before validation for their tools, such as the range of inputs they’ve already been tested on. And some models will provide their confidence level—but, he warns, models can be highly confident, yet also be wrong. “Some machine learning models have a fixed behaviour after training and will, given identical inputs, produce identical outputs; however, other models incorporate new information from the environment and thus change their behaviour over time,” he says.

Machine learning is applied in autonomous vehicles. P hoto : AI creation

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