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With Ambient Wanderer, we aim to inform the design of systems that can meet the requirements of on-the-go users looking to discover relevant points of interest, and to demonstrate the benefits of using a hybrid Wizard of Oz approach to investigate POI recommender systems.

A first-of-its-kind architecture that, based on a single image, predicts how a robot can pick up objects from within any scene could revolutionize applications in AR/VR and robotics.

1^st in autonomous vehicle challenge, 2^nd in local feature and 4^th in handheld devices R2D2 and KAPTURE demonstrate generalizability and wide variety of applications

Our navigation system enables robots to adapt to specific real-world environments and use cases with only small amounts of human preference data.

We're releasing a state-of-the-art multilingual and multi-domain neural machine translation model specialised for biomedical data that enables translation into English from five languages (French, German, Italian, Spanish and Korean).

A new platform based on deep-learning approaches to handwritten-text recognition and information extraction enables data from century-old documents to be parsed and analysed, making it possible to explore epidemics and the evolution of populations over time.