CNN’s Isa Soares Interviews CEO Greg Fallon on How AI Can Help Solve the Climate Problem
Geminus CEO Greg Fallon sat down with CNN International’s Isa Soares to talk about how AI can help mitigate the […]
Harnessing the Power of Geothermal Energy: The Impact of Modeling on the Industry’s Future
The key to a successful energy transition is true optimization. Geminus discusses techniques for joining simulation and machine learning to solve critical problems that can’t rely on the availability of data alone.
Unlocking the Potential of AI for the Energy Transition
The key to a successful energy transition is true optimization. Geminus discusses techniques for joining simulation and machine learning to solve critical problems that can’t rely on the availability of data alone.
What Will it Take to Scale Geothermal?
As the world continues to push towards a carbon-free future, we will need to rely on a mix of renewable […]
AI for the Energy Transition
The industrial sector isn’t prepared for the energy transition. It’s stuck balancing carbon avoidance today with innovation for a carbon-free […]
AI for True Industrial Process Optimization
We discuss techniques for joining simulation and machine learning to solve critical problems that can’t rely on the availability of data alone.
Intel Ignite Selects 10 Leading-Edge Companies for First Startup Growth Program in the US
Intel Ignite, Intel Corporation’s acceleration program for early-stage deep tech startups, today announced 10 startups selected for the first cohort […]
Physics-Informed AI
Beyond the Cult of the Data-Driven Traditional AI comes with a massive data burden, making it challenging to move into […]
Models Will Run the World, But Hold the Data
We discuss techniques for joining simulation and machine learning to solve critical problems that can’t rely on the availability of data alone.
AI, simulation, and the industrial data problem
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.