Intel Ignite, Intel Corporation’s acceleration program for early-stage deep tech startups, today announced 10 startups selected for the first cohort […]
Beyond the Cult of the Data-Driven Traditional AI comes with a massive data burden, making it challenging to move into […]
We discuss techniques for joining simulation and machine learning to solve critical problems that can’t rely on the availability of data alone.
Industrial AI has promised dramatic ROI but seen more limited successes due to lack of necessary data. Meanwhile, simulation is a powerful tool already showing value, but in limited use cases due to challenges with speed and robustness. We address these challenges and introduce a path to getting the best of both.
Geminus.AI lands seed investment that includes leading industrials.
The Geminus platform combines physics-based simulation with AI to make powerful predictive models.
Industrial applications demand performance that today’s models can’t meet. AI and physics based simulation are powerful, but each have limitations. What if we could draw on the best of both?