April Fools’
Remember, on April Fools’ Day you should be intelligent, not artificial! We wish you only good jokes!
Patient safety comes first in our AI systems – we value reliability and interpretability.
Introduce AI power to decode your customer behaviour for retail and marketing.
Cyber attacks are more clever – but AI can protect your value, so you can sleep well.
We are not afraid of other sectors – we have successful projects, e.g. in the automotive industry.
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
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
Today’s post will be less technical and more philosophical. For several months, the temperature of the discussion on the development and future of artificial intelligence
Author: Michał Brzozowski This is part 2 of our series about fine-tuning BERT: if you want to read the first part, go to this
Author: Michał Brzozowski Models based on the transformers architecture have become a state-of-the-art solution in NLP. The word “transformer” is indeed what the letter
Author: Adam G. Dobrakowski Redaction: Zuzanna Kwiatkowska In the Data Science literature, we can find quite a few articles that describe how to do
Author: Adam G. Dobrakowski Redaction: Zuzanna Kwiatkowska This post is the third and last in a series of posts about A/B testing. The others
Author: Adam G. Dobrakowski Redaction: Zuzanna Kwiatkowska This article is the second part of the series regarding A/B testing. You can access other articles
Author: Zuzanna Kwiatkowska Scientific collaboration: Mateusz Rapicki Have you ever wondered how many things must happen during your 15-minute-long visit to the doctor’s office?
Author: Adam G. Dobrakowski Redaction: Zuzanna Kwiatkowska If you work in machine learning, you’ve definitely heard about A/B testing. It is the best and
Author: Adam G. Dobrakowski Redaction: Zuzanna Kwiatkowska In Machine Learning, benchmark is a type of model used to compare performance of other models. There