Software and Artificial Intelligence (AI) are now in most systems we interact with including aircrafts, satellites, cars, watches, and even doorbells. Companies that use AI in the design and operation of their products have reaped huge rewards. Take Tesla, for example, they have been able to reduce the energy consumption of their vehicles by nearly 30% using AI and real-world data. This has resulted in smaller batteries for their newer vehicles, lowering their costs and allowing them to launch a mass market vehicle like the Model 3 that is affordable to most US consumers. This has propelled them to be one of the most admired companies in the automotive industry - having roughly six times the combined market value of GM and Ford.
Relatively cheap capital, lower computing costs, and higher caliber tech talent have all lowered the barriers to entry in system design. Thus the requirements to stay competitive in the global market have never been higher. It is almost imperative for technology companies to at the very least think about how AI can help them design the next generation of their systems faster and with less risk.
of business executives plan to use AI simulations in 2022 - PWC
Design projects generally start with requirements, but when faced with competing desired outcomes, requirements can get complicated quickly. For example, when designing a car, engineers will try to optimize performance, safety, cost, and efficiency. In such situations, AI can help engineers:
A shift is underway — are your engineering tools helping or hindering?
Collimator is the only tool that allows you to import big data directly via API, design your system using neural networks from Tensorflow or Pytorch, and simulate millions of test cases using HPC in the Cloud so perception and control engineers can work off of a single source of truth - finally!