Complicated datasets which contain many different features are challenging to work with. Sampath Deegalla's PhD thesis explores how the challenge of dimensionality can be tackled.
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“Nearest neighbor” algorithms may lift the curse of dimensionality
Highlights from IDA 2024
“Except for lawn mowers and vacuum cleaners, we haven’t seen many robots come out on consumer markets in the last three decades”, said professor Danica Kragic in her keynote.
Towards digital sovereignty
A new wave of wearable devices will collect a mountain of information on us. And there are privacy implications, writes Luis Quintero in The Conversation.
Are doctors ready for AI assistants?
Almost 50 people came to Panagiotis Papapetrou's Tech Tuesday seminar on AI in healthcare.
New algorithm handles complex data
Data is available in abundance. However, to utilize this raw material we need to sort it so that patterns become visible.
“In the end, it’s just code and data”
Meet Simon Hacks, new associate professor at DSV. His next project involves optimising maritime transports.