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Fabrice Matulic is a senior researcher at Preferred Networks, Inc., a technology company headquartered in Tokyo, Japan. He is also a former postdoctoral researcher in the Cheriton School of Computer Science, where he worked in the field of human–computer interaction.

The biosphere, the zone in which life on Earth is found, contains an estimated 10 million multicellular species. But perhaps the most surprising fact about life on Earth is how little we know about its diversity. Only 2 million species are known to science — organisms that have been studied in sufficient detail to at least be described, classified and given a scientific name. With at least another 8 million species yet to be discovered, cataloguing the diversity of life is in many ways a moonshot — a vast endeavour that succeeds by bringing together specialists across many disciplines.

Four students at the Cheriton School of Computer Science are recipients of the Computing Research Association’s 2022 Outstanding Undergraduate Researcher Awards. The annual CRA awards program recognizes undergraduate students from universities across North America who have distinguished themselves by conducting exceptional research in an area of computer science.

A team of computer scientists has developed a new system that recognizes near-keyboard hand gestures to expand laptop interaction.

The new technology is an innovation in the field of human-computer interaction and allows users to give commands that would otherwise involve keyboard shortcuts or mouse round-trips.

During his inaugural lecture at the University of Lille in 1854, the French microbiologist and chemist Louis Pasteur said, “In the fields of observation chance favours only the prepared mind.”

Pasteur’s reflection is as true today as it was more than a century and a half ago. Those who observe the world keenly with minds that have been primed by experience and education will see novel ideas to pursue, original opportunities to explore.

Former computer science student Vitalik Buterin, founder of the cryptocurrency Ethereum, has been named in the recent Forbes ‘30 under 30 hall of fame.’

photo of Vitalik Buterin
On this tenth anniversary of the Forbes 30 under 30 lists, the publication included a best of the best from the past ten years, noting those who had been named the most times or consistently in the lists.

Researchers at the Cheriton School of Computer Science have developed a data-efficient pretrained transformed-based neural language model to analyze 11 African languages. Their new neural network model, which they have dubbed AfriBERTa, is based on BERT — Bidirectional Encoder Representations from Transformers — a deep learning technique for natural language processing developed in 2018 by Google.