| Samsung AI Center CambridgeCompanies · also on Labs | The Cambridge AI research laboratory of Samsung, working on on-device AI, machine learning and how people interact with devices.Profile- Owner or parent
- Samsung Research (Samsung Electronics). Samsung's AI Center network (SAIC) was "established in November 2017".
- Founded or opened
- Not stated for Cambridge (Andrew Blake is named as its founding head)
- Lab director or lead
- Timothy Hospedales — "Head of Europe AI Center" and "Head of AIC-Cambridge" — current centre page. The page also carries an older line naming Andrew Blake as leader.
- Other leaders
- Georgios Tzimiropoulos — "Leader of AIC-Cambridge"; Andrew Blake — founding Head (former director of Microsoft Research Cambridge; former Director at the Alan Turing Institute)
- Site and address as published
- "Located in Cambridge, UK" (no street address; contact cambridge.ai@samsung.com)
- What it does
- Samsung's AI research centre in Cambridge. It does open research on vision and language, efficient foundation models that run on devices, speech, and machine learning. It moves results into Galaxy phones, for example on-device personalised sound enhancement that helps Bixby hear its owner's voice in noise.
- Research groups or focus
- Future Interaction (Vision & Language, Large Scale Training, Video Understanding, Diffusion Models); Embedded AI (Efficient Foundation Model Architectures, AutoML, Model Compression, Federated Learning, Speech Recognition & Generation, NPU Hardware Design); Machine Learning & Data Intelligence (Meta-Learning, In-context Learning and LLMs, Bayesian Neural Networks, Neuro-Symbolic Learning, Neural Rendering)
- Notable outputs
- Personalized Sound Enhancement — on-device, real-time audio cleaning before Bixby speech recognition; shipped on Galaxy S22–S23, Fold3–Fold4 and Flip3–Flip4, then wider devices including Fold5 and Flip5 — date not stated
- Selected papers
- "Meta-Learning in Neural Networks: A Survey" — IEEE T-PAMI — 2020 — https://research.samsung.com/aicenter_cambridge ; "Learning to Compare: Relation Network for Few-Shot Learning" — CVPR — 2018 — https://research.samsung.com/aicenter_cambridge ; "Conditioning Sequence-to-sequence Networks with Learned Activations" (Ramos, Mehrotra, Lane, Bhattacharya) — ICLR — 2022 — https://research.samsung.com/blog/Personalized-Sound-Enhancement-A-Journey-From-Idea-To-Deployment-Into-The-Hands-Of-Millions-Of-Samsung-Users
- Status now
- Active, per the centre page read on 31 Oct 2026; no dated 2025–26 news item was opened.
- Awards
- Andrew Blake — IEEE Longuet-Higgins Prize 2021 (for a 2011 Microsoft Research paper)
Labs Round 8 deep profile (31 Oct 2026), as the researchers wrote it; confidence: one source. Sources - research.samsung.com/aicenter_cambridge
- research.samsung.com/news/Head-of-Samsung-AI-Cen
- research.samsung.com/blog/Personalized-Sound-Enh
- research.samsung.com/aicenter
| Cambridge | research.samsung.com/aicenter_cambridge · research.samsung.com/news/Head-of-Samsung-AI-Cen · research.samsung.com/blog/Personalized-Sound-Enh · research.samsung.com/aicenter | one source |