School of Technology
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/.
Sub-communities within this community
-
Department of Chemical Engineering and Biotechnology
Includes research areas relevant to food, pharmaceuticals, water, energy and polymers (i.e. most aspects of our everyday life) and is centrally concerned with sustainable development and the related issues of safety, health ... -
Faculty of Computer Science and Technology
Current research areas include bioinformatics, computer architecture, computer vision, distributed systems, graphics and human-computer interaction, logic and semantics, machine learning, natural language processing, ...
Recent Submissions
-
Multi-Functional nano-structures in Nature: from optics to mechanics
Living organisms can process natural building blocks into hierarchical architectures under mild environmental conditions to produce varieties of architectures and display extraordinary properties. Some properties such as ... -
Inter-functional citizenship behaviour: A novel scale validated for the integration of Research and Development and Intellectual Property team members
Increased complexity of current technological advancements requires a well-orchestrated and integrated research and development (R&D) process in order to innovate and profit from new commercialisation. However, scholars ... -
Advances in Probabilistic Meta-Learning and the Neural Process Family
A natural progression in machine learning research is to automate and learn from data increasingly many components of our learning agents.Meta-learning is a paradigm that fully embraces this perspective, and can be intuitively ...
