Numerical simulators of physical systems, ranging from fluid dynamics, structural mechanics to molecular dynamics, have been developed by the research community over the years.
Imagine if you could easily run those simulations in the cloud, benefiting from orders of magnitude speed-ups provided by Machine Learning.
Could you find much better solutions in a cost-effective manner?
AI for Science and Engineering
At Inductiva, we are applying Machine Learning to computational challenges in fundamental sciences such as Mathematics, Physics, Chemistry and Biology.
Breakthroughs in these fields directly impact a wide range of real-world applications.