Artificial Intelligence (AI) has become a cornerstone of modern innovation, powering everything from predictive analytics to autonomous systems. However, the rapid growth of AI also brings significant environmental challenges, particularly in terms of energy consumption and computational waste. Researchers have projected that the energy use of AI will more than double by 2030. For context, in 2024, U.S data centers consumed the equivalent to the annual electricity demand for an entire nation such as Pakistan. Lean AI seeks to address these issues by designing systems that are efficient, transparent, and environmentally responsible. One mathematical framework that supports this vision is the Koopman Operator, a powerful tool for modeling complex systems in a linear, interpretable way. Here at AIMdyn Inc. we are striving to make use of this emerging framework in a field that continues to drive forward despite global concerns.

Shedding Light on the Blackbox: Understanding Deep Neural Network Training Dynamics Authored by William Redman  Deep neural networks power everything from language models to image

AIMdyn Returns from 2nd Annual Koopman Operator Theory: Fundamentals, Approximations and Applications Workshop Official website of the workshop: https://uniri.hr/en/science-and-research/koopman-operator-theory-fundamentals-approximations-and-applications/ Workshop program: https://uniri.hr/wp-content/uploads/2025/09/10_9_Koopman_program_4_9_2025.pdf  From September 10

Soft Robotics: From Nature-Inspired Flexibility to Real-World Applications  What if robots could wind around like growing vines, squeeze through rubble like octopuses, or gently assist

AIMdyn co-Founder, Dr. Igor Mezic, is in the 0.05 percent of the most influential scientists of all fields in 2023 and no. 54 in a

New LAPACK version 3.12 has been released with AIMdyn’s high-performance implementation of Dynamic Mode Decomposition (DMD) with QR-factorization that provides considerable speedup in the case

NEW preprint out on Koopman Learning with Episodic Memory by the fantastic AIMdyn team (Dr. William Redman, Dean Huang, Dr. Maria Fonoberova, and Prof. Igor

Thank you to Dr. Allan Avila and the AIMdyn MINC team for their amazing work with BAE Systems on the DARPA MINC project!

The quote “’It’s tough to make predictions, especially about the future‘” is attributed to a baseball-playing philosopher, Yogi Berra. And yet, we always try, with more or less success.

In the latest contribution, the AI and Data Analytics company AIMdyn, Inc. compared one week ahead predictions of COVID-19 cases on the CDC COVID-19 challenge (https://covid19forecasthub.org/) made by a variety of prominent research groups.

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AIMdyn is so proud of all of our dedicated team members who were able to come to the first AIMdyn Summit and discuss the future