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Smartphone users to help simulate cyclones and predict effects of climate change
Imperial researchers are partnering with the Vodafone Foundation to use the computing power of millions of smartphones to crunch data about cyclones.
Schmidt Futures selects Imperial for $148M initiative to accelerate AI research
Imperial College London and eight leading universities across the world will launch the next frontier of scientific discovery through AI.
DSI launches seminar series to tackle unsolved problems in data science
Data scientists from Imperial and London School of Economics launched a new seminar series to jointly tackle their unsolved research problems.
Privacy gaps in Apple’s data collection scheme revealed
Imperial researchers have demonstrated how Apple’s use of a widely adopted data protection model could expose individuals to privacy attacks.
Data Science Institute summer schools a great success
Over 100 students took part in two different summer schools run by Imperial’s DSI, to learn more about data science.
Study reveals how human brains have evolved to be smarter than other animals
New study adds an important piece to the puzzle of human brain evolution, explaining why humans are more cognitively advanced than other animals.
DSI scientists present research at annual security symposium
DSI scientists from Imperial presented their research on privacy and client-side scanning at the 31st USENIX Security Symposium in Boston.
Proposed mechanisms to detect illegal content can be easily evaded, study finds
Data scientists have shown that current mechanisms to detect illegal content proposed by governments, tech companies and researchers are not robust.
Machine learning model uses social media for more accurate wildfire monitoring
Scientists have developed a new machine learning model that uses social media data to predict and monitor wildfires more accurately in real-time.
New data synthesis tool can rapidly sort complex datasets to aid decision-makers
A new data synthesis tool can help tackle ‘infodemics’ by quickly sorting through large, complex datasets to make optimal decisions for society.
