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.
Geminus Announces the Completion of $5.9M Seed Round Led by Lam Capital and SK Inc.
Geminus.AI lands seed investment that includes leading industrials.
Geminus launches first-of-its-kind predictive intelligence platform
The Geminus platform combines physics-based simulation with AI to make powerful predictive models.
Geminus: Because the past can’t tell you the future
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?