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Best Paper Award for Cambridge HIIT Joint Work - ACM SIGCOMM CCR

The joint work of HIIT, NODES group (lead by UH Prof. Sasu Tarkoma) and NetOS group (lead by Cambridge Prof. Jon Crowcroft) receives the best paper award - “Best of CCR” from ACM SIGCOMM:

http://conferences.sigcomm.org/sigcomm/2014/program.php



News article about the filter bubble and SciNet in Suomen Kuvalehti

The Finnish weekly news magazine Suomen Kuvalehti has published an article about the filter bubble and future Finnish information browsing technologies. SciNet is mentioned as an example of a search engine that can be used to break out of the bubble.



HIIT involved in two new Tekes’ strategic research openings

New Tekes research projects will find solutions for new energy systems, personalised healthcare and novel industrial processes using biological systems. HIIT participates in two of the three new programmes (Digital Health Revolution and Living Factories).

More information on School of Science's website.



Nature Biotechnology: Drug sensitivity predicted computationally by HIIT & FIMM researchers

With modern high-throughput technologies researchers can measure a multitude of molecular properties from cancer cells. A big question of precision medicine is how computational modelling can be used to predict sensitivity of cancer cells to drugs, and the best cancer treatment. Answers are sought in a study published in Nature Biotechnology.



HIIT researchers organized AISTATS 2014 and the collocated MLSS 2014

Artificial Intelligence and Statistics is one of the top ranking conferences on machine learning. The conference was chaired by Profs. Samuel Kaski and Jukka Corander. Dr. Jaakko Peltonen was the publicity chair and Dr. Antti Honkela was the publication chair. The collocated Machine Learning Summer School (MLSS 2014) brought together top researchers from all over the world to give short courses of various machine learning topics.

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