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Avoid and prevent failures in your company

Problems with machines, devices and possible failures can affect the condition of any company. These troubles not only disrupt your workflow but can also have financial and market implications. Therefore, it is essential to predict and monitor any minor issues that could turn into major damage. The good news is that all of this is possible with the help of Artificial Intelligence. As MIM Solutions we created Alert.MIM Platform – predictive and monitoring system for companies. Based on the data on the condition of machines and devices as well as the course of processes, we create models that allow predicting


April Fools’

Remember, on April Fools’ Day you should be intelligent, not artificial! We wish you only good jokes!



Years ago when I learned about Google PageRank algorithm, my first reaction was this is not the way it should be done! There should be some proof. This probably just shows that my CS education was too theoretical ;). Years later I have learned that indeed there are some nice tools to argue about the running time of PageRank algorithm. And very recently we were able to give some new parallel (in MPC model) algorithms for computing vanilla PageRank. We improved the number of rounds needed from O(log n) to O(log^2 log n) time. You can hear Solbodan talking out


MIM Solutions awarded with NCN grant

I remember that in early spring when COVID pandemic started everyone was fascinated with all the mathematical modeling tools that predict the spread of the virus. It seemed that finally, some math is getting into the mainstream. Now the situation drastically changed – all the tools that were used (at least in Poland) failed to predict the second wave. Aposteriori it is rather clear that these tools are based on flawed assumptions. Most of the prediction tools use mean-field approximation, which makes the cascading process deterministic. In such an approach, uncertainty can only appear as a result of our lack

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