Red Hat Research Quarterly
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Václav Matyáš, Professor with the Centre for Research on Cryptography and Security at the Faculty of Informatics at Masaryk University.
It is by now well understood that we humans are capable of creating systems that are more complex than we can understand.
Since the inception of artificial intelligence research, computer scientists have aimed to devise machines that think and learn like human beings. What else could AI do?
Thoughts on open source and open collaboration from the Greater Boston Research Interest Group (RIG).
Research at Devconf.us: Optimizing and automating the foundations of computing.
Parallelism promises to make programs faster, yet it also opens many new pitfalls and makes testing programs much harder.
To design effectively for our users, we need to learn more about them. If we don’t, we may make a product that our users can’t be efficient in, or worse, a product that our users have no need for in the first place.
The recent advances in AI and telecommunications are enabling a new set of complex cyber-physical systems, including those for safety-critical applications.
I have been spending a lot of time lately thinking about all the hard problems involved in managing large-scale systems. Why? Well, it turns out to be a really important topic for Red Hat Research and for the Red Hat engineering community that we hope to serve.
Like so many other events this year, DevConf.cz is going virtual from February 18-20. Originally an internal Red Hat event held in Brno in the Czech Republic, this free, volunteer-organized event is now in its thirteenth year and is open to all.
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