About this community

The mission of the School of Technology is to provide a focus and framework for its constituent departments to formulate and express views pertinent to technology, methods and processes, both within and without the University, recognising that technology has its own priorities and its own criteria for success: above all, technology departments recognise a duty to influence and be influenced by society at large and to work towards the creation of wealth and an improved quality of life. Institutions within the School are: the Department of Chemical Engineering and Biotechnology, the Computer Laboratory, the Department of Engineering, Judge Business School and the Cambridge Institute for Sustainability Leadership.

Find out more about the School of Technology at http://www.tech.cam.ac.uk/.

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Recent Submissions

  • Privacy-Preserving Personal Model Training 

    Servia-Rodriguez, Sandra; Wang, liang; Zhao, Jianxin; Mortier, Richard Michael; Haddadi, Hamed
    Many current Internet services rely on inferences from models trained on user data. Commonly, both the training and inference tasks are carried out using cloud resources fed by personal data collected at scale from users. ...
  • Bellrock - Anonymous Proximity Beacons From Personal Devices 

    Harle, Robert Keith; Tailor, Shyam; Zidek, Augustin
    Proximity beacons provide simple, low-cost location data. However, beacon deployments remain rare. In this paper we introduce Bellrock, a framework that repurposes static personal devices (phones, laptops, etc.) as proximity ...
  • Attending to characters in neural sequence labeling models 

    Rei, Marek; Crichton, Gamal; Pyysalo, Sampo
    Sequence labeling architectures use word embeddings for capturing similarity, but suffer when handling previously unseen or rare words. We investigate character-level extensions to such models and propose a novel architecture ...
  • Statistics of the network of organic chemistry 

    Jacob, Philipp-Maximilian; Lapkin, Alexei Alexandrovich (2018-01-19)
    Organic chemistry can be represented as a network of reactions and studied by mathematical tools of graph theory. In this paper the structure of a network of organic reactions has been studied using several graph theory ...

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