The theoretical foundations of algorithms, cryptography, artificial intelligence and distributed systems.
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An equation that looks at averages says a population will die out where catalysts are scarce. A simulation built from individual agents shows the opposite: the population survives in islands that follow the catalysts.
In a software-defined network the switches make no decisions; they only look up a table. Using virtual networks built inside a single computer, we look at where decisions are made, why the first packet is slow, and how a network breaks.
Switches, cables and servers can be built without real hardware, inside a single computer. We look at how Mininet does it, what can be tried on a virtual network, and what a laptop cannot show.
An assistant reading a company's own records is only as good as the pages it is handed. This study measures how a thirty-year-old word-matching method outran a neural one.
Teaching a neural network something new makes it erase what came before. This study shows that forgetting depends not only on the algorithm but on the order in which the tasks are shown.
Comparing quarantine and vaccination scenarios in an artificial town of a thousand gives a clear result: timing is as decisive as the type of intervention.
How a word spoken into a microphone becomes a sequence of numbers, and then a command. Speech recognition before deep learning is still worth understanding.
