The world of manufacturing is rapidly changing with the advent of new technologies. One of the most significant changes is the integration of computational techniques and smart manufacturing. Computational techniques refer to using software and algorithms to automate processes and make them more efficient. Smart manufacturing, on the other hand, uses data and technology to optimize manufacturing processes.  

Together, these two concepts are transforming the way we produce goods. By using computational techniques, manufacturers can automate many of the everyday tasks that were once done manually. Another important computational technique is machine learning, which uses algorithms and statistical models to analyze data and improve manufacturing processes.  

Machine learning can identify patterns in sensor data that can be used to predict when a machine is likely to fail, allowing for preventative maintenance to be performed. This saves time and money and reduces the risk of errors and accidents. Smart manufacturing takes this a step further by using data to optimize processes in real-time. This means that manufacturers can adjust on the fly to ensure they produce goods as quickly and efficiently as possible.