Cambridge Research Laboratory
Toshiba’s Cambridge Research Laboratory is a world-leading industrial research centre dedicated to fostering innovation through basic and applied research in physics, engineering and computer science.
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- Cambridge Research Laboratory
Toshiba’s Cambridge Research Laboratory is a world-leading industrial research centre dedicated to fostering innovation through basic and applied research in physics, engineering and computer science. Our mission is to create core technology that can be translated into future products.
Our staff are our greatest asset. We recruit the most talented researchers and allow them to work in a well-resourced, multicultural and academic environment to promote independent thought and creativity.
The laboratory collaborates openly with leading universities and small companies across Europe. We have forged a very close relationship with leading academic and young researchers at the University of Cambridge and have funded many research students and projects.
Toshiba is a world leader in the design and manufacture of advanced electronics and information and communications systems. Its origins go back to 1875 and it has a rich and long history of innovation. The Cambridge Research Laboratory is a vital part of Toshiba’s worldwide research and development network it is responsible for a number of significant world-first developments and the results of its research are already finding their way into new Toshiba products.
Quantum Information Group
Exploring the ultimate limit of Information Technology
The Quantum Information Group (QIG) is developing a new approach to information technology that applies the fundamental laws of Quantum Physics to network communications and computing.
Embodied AI
Combining physical presence with coopoerative intelligence
Embodied AI is at the forefront of building an ever-improving foundation of automated industrial Artificial Intelligence though Natural Interaction in Physical Space and with Language.
Latest Publications
Information contained in news and other announcements is current on the date of posting, but subject to change without notice.
Davide G. Marangon, Peter R. Smith, Nathan Walk, Taofiq K. Paraïso, James F. Dynes, Victor Lovic, Mirko Sanzaro, Thomas Roger, Innocenzo De Marco, Marco Lucamarini, Zhiliang Yuan & Andrew J. Shields
P. Gavignet ORA, F. Mondain ORA, E. Pincemin ORA, A. J. Grant T, L. Johnson T, R. I. Woodward T, J. F. Dynes T, and A. J. Shields T
R. I. Woodward T, B. Griffiths T, Y. S. Lo T, J. F. Dynes T and A. J. Shields
A.Barbiero T, G. Shooter T, T. Müller T, J.Skiba-Szymanska T, R.M. Stevenson T, L. E. Goff CAV, D. A. Ritchie CAV and A. J. Shields T
J. A. Dolphin T, ENG, T. K. Paraiso T, H. Du T, and A. J. Shields T
T. Roger T, R. Singh T, C. Perumangatt T , D. G. Marangon T, P. R. Smith T , M. Sanzaro T, R. I. Woodward T, and A. J. Shields T
S. Donadello, C. Clivati, A. Meda, S. Virzì, M. Genovese, F. Levi, A. Mura, M. Pittaluga, Z. Yuan, A. J. Shields, M. Lucamarini, I. P. Degiovanni, and D. Calonico,
R. Singh T, C. Perumangatt T, T. Roger T and A. J. Shields T
T Paraiso T
J. A. Dolphin T, ENG, T. K. Paraïso T, H. Du T, R. I. Woodward T, D. G. Marangon T and A. J. Shields T
F Logothetis, I Budvytis, R Cipolla
S Morad, C Lu, R Kortvelesy, S Liwicki, J Foerster, A Prorok
F Logothetis, I Budvytis, R Cipolla
S Morad, R Kortvelesy, S Liwicki, A Prorok,
G Wu, C Zhang, S Liwicki,
C Zhang, S Liwicki, S He, W Smith, R Cipolla
S Morad, R Kortvelesy, M Bettini, S Liwicki, A Prorok
Contrastive Unsupervised Learning of World Model with Invariant Causal Features
R. P. K. Poudel, H. Pandya, R. Cipolla
NeurIPS Workshop, December 2022
A. Paren, R. P. K. Poudel
C. Zhang, S. Liwicki, R. Cipolla
H. Pandya, R. P. K. Poudel, S. Liwicki
F. Logothetis, R. Mecca, I. Budvytis, R. Cipolla
A. Paren, R. P. K. Poudel, M. Pawan Kumar
H. Sankhla, M. Qureshi, S. Narayanan, V. Mittal, G. Gupta, H. Pandya, KM. Krishna
S. Morad, S. Liwicki, R. Kortvelesy, R. Mecca, A. Prorok
Norbert Braunschweiler, Rama Doddipatla, Tudor-Catalin Zorila
Youmna Farag, Svetlana Stoyanchev, Mohan Li, Simon Keizer, Rama Doddipatla
Cong Thanh Do, Yuan Li, Simon Keizer, Mohan Li, Rama Doddipatla, Kate Knill
A. Frummet, A. Papenmeier, M. Fröbe, J. Kiesel, V. Adlakha, N. BraunschweilerT, M.Dubiel, S. Ghosh, M. Gohsen, C. Kreutz, M. Momeni, M. Nilles, S. P. Cherumanal, A.Pirmoradi, P. Thomas, J. R. Trippas, I. Zelch, and O. Zendel.
Abigail Sticha, Norbert Braunschweiler, Rama Sanand Doddipatla, Kate M Knill
Improving Retrieval-Augmented Response Generation in Goal-Oriented Dialogue Question Answering
N. BraunschweilerT, A. Sticha, R. Doddipatla, K. Knill
Lexin Zhou, Youmna Farag, Andreas Vlachos.
L. Domingo, P. Piwek, M. Wermelinger, S. Stoyanchev
M. Li, S. Keizer and R. Doddipatla
C. Li, C. Zhang , S. Teufel, R. Doddipatla , S.Stoyanchev
T. Cord-Landwehr, C. Boeddeker, T-C Zoril?a, R. Doddipatla and R. Haeb-Umbach
Mohan Li, Cong-Thanh Do, Simon Keizer, Youmna Farag, Svetlana Stoyanchev, Rama Doddipatla
Towards Interactive Anomaly Detection using Natural Language
Callum Rothon, S. Keizer , R. Doddipatla , N. Dethlefs
Cong Thanh Do, Shuhei Imai, Rama Doddipatla, Thomas Hain
Going beyond word-similarity in evaluating document-grounded response generation in task-oriented dialogue
A. Sticha, Braunschweiler, R. Doddipatla