Samsung’s AI work isn’t just about flashy phone features. Behind the scenes is a multi-layered investment spanning fundamental research, applied labs, semiconductor innovation, venture funding, and youth programmes. If you teach computing, design & technology, or ICT literacy in Singapore, understanding this ecosystem helps you connect classroom learning to real industry practice.
The organisations doing the work
1) Samsung Research (SR)
Samsung Research is the software R&D arm of Samsung Electronics. It runs a network of Global AI Centres that conduct applied AI research and ship features into products. As of 2025, the centres are in Seoul, Mountain View, Toronto, Cambridge and Warsaw.
Cambridge focuses on algorithmic efficiency and state-of-the-art speech & language technologies that often land in Bixby and Galaxy features.
Samsung Research America (Mountain View) publishes on deep learning, multimodal and on-device AI that can transition directly into consumer devices.
SR also hosts the annual Samsung AI Forum, which convenes global scholars to share advances and strategy focus areas.
2) Samsung Advanced Institute of Technology (SAIT)
SAIT is Samsung’s long-horizon research hub. It leads AI algorithms, computing platforms, and brain-inspired/neuromorphic computing—including in-/near-memory computing and spiking neural networks—often in collaboration with business units and foundry teams.
SAIT’s remit spans from software stacks bridging edge to data-centre AI accelerators to device-level innovations like in-memory computing (e.g., MRAM)—research that has appeared in top journals and informs future AI hardware.
Samsung’s headline AI platforms
Samsung Gauss (in-house generative AI)
Unveiled at Samsung AI Forum 2023, Samsung Gauss is the firm’s generative AI family (language, code, vision) developed by Samsung Research to power device and service experiences.
Galaxy AI (features on devices)
On phones, tablets and PCs, Galaxy AI bundles practical tools—summaries, translation, image editing, “Now Brief” day summaries—and is being rolled out widely across the Galaxy base. Samsung states Galaxy AI features are complimentary through the end of 2025 on supported devices (terms vary by region/app).
Samsung’s 2025 product strategy frames this as “AI for All,” extending intelligence across home and mobile ecosystems, not just flagships.
Responsible, private-by-design AI
For educators discussing ethics, Samsung publicly anchors AI development to Fairness, Transparency, and Accountability, overseen by internal guidance and an AI Ethics Council.
On devices, Samsung details on-device personalisation via a Personal Data Engine and hardware-level protections (e.g., Knox Vault, and 2025’s KEEP initiative) designed to keep sensitive data local while enabling personalised AI features.
How research becomes classroom-relevant
On-device & efficient AI: Cambridge and Mountain View labs prioritise algorithmic efficiency and on-device AI—ideal topics for lessons on model compression, latency, and energy-aware design.
Edge-to-cloud systems: SAIT’s work on heterogeneous stacks (mixing NPUs, in-/near-memory computing) illustrates modern distributed ML pipelines and hardware–software co-design.
Generative AI in practice: Gauss and Galaxy AI provide concrete case studies of turning foundation-model research into user-facing features with guardrails.
Beyond labs: investing in the ecosystem
Samsung Next (corporate venture arm) invests in AI infrastructure, enterprise GenAI and robotics startups—useful for students exploring entrepreneurship pathways.
Global Research Outreach (SAIT GRO) funds university research across domains (including AI computing), offering exemplars of industry–academia collaboration models.
Programmes educators in Singapore can tap
Solve for Tomorrow (Singapore) – a national competition encouraging secondary school teams to apply technology (often AI) to local social issues. Recent editions have showcased AI projects from schools like NUS High and ACS (Independent). Use it to scaffold design thinking, ethics, and prototyping cycles.
Generative AI Training for Educators - a training programme designed for primary- and secondary-school teachers, comprising 101- and 201-level workshops held either at Samsung Singapore or on campus
Bottom line
Samsung’s AI investment is broad by design: frontier science (SAIT), applied labs shipping features (Samsung Research), platforms and guardrails (Gauss, Galaxy AI, ethics & privacy), and talent pipelines (Next, Solve for Tomorrow, Gen AI Training). For educators in Singapore, this is a ready-made set of authentic case studies to bring AI literacy, ethics, and systems thinking into the classroom.
This article was created with the assistance of generative AI tools to enhance research, streamline content development, and ensure accuracy.
