Samsung Electronics continues to emphasize innovative AI strategies that prioritize enhancing customer experiences. AI is not viewed as an end in itself but as an influential tool to improve daily life. Samsung leverages its long-standing technological leadership and open innovation approach to develop practical AI-driven solutions that elevate user interactions with its varied range of products. By doing so, the corporation sets new benchmarks in the tech industry, continually striving to provide end-users with unique, seamless, and contextually aware experiences that truly make a difference in their everyday lives.
Comprehensive AI Capabilities: On-Device, Edge, and Cloud-Based Methods
Samsung stands out for its comprehensive AI capabilities, involving on-device, edge, and cloud-based methods. These various formats serve different needs and are integrated into Samsung’s strategy to provide tailored, context-aware solutions for its consumers. This dedication to versatility in AI deployment ensures that Samsung consistently meets its core objective: “How can we best serve the consumer?” For instance, on-device AI is prominently featured in devices like smartphones and TVs, ensuring secure and efficient AI experiences by only using the data within the device. This method leads to virtually instantaneous responses, enhancing security, especially for processes that handle sensitive information since data doesn’t leave the user’s device.
Similarly, edge AI functions independently of cloud infrastructure, relying on local resources rather than external servers. In smart home environments where multiple appliances interact, edge AI processes data on high-performance devices or those nearby, mirroring the speed and security benefits of on-device AI. This allows for quicker decision-making and improved functionality within the ecosystem of connected home devices. Samsung places significant emphasis on creating a cohesive inter-device communication framework that maximizes efficiency and security across its product lineup.
Cloud-based AI, however, is better suited for tasks requiring extensive online information or high-performance computing. Samsung leverages vast datasets and large-scale AI models hosted on servers to provide advanced capabilities while focusing on minimizing data latency, optimizing model efficiency, and implementing anonymization and encryption for security. The seamless integration of cloud-based AI with on-device and edge AI ensures that each task is processed in the most efficient manner, delivering superior user experiences by leveraging the strengths of each AI method as needed.
Hybrid AI: Combining Strengths for Optimal Solutions
Hybrid AI exemplifies Samsung’s comprehensive approach by combining various AI formats to address different requirements effectively. For instance, while sensitive data necessitating quick responses can be processed using on-device models, the cloud handles tasks that demand up-to-date information and high-performance resources. Samsung’s Galaxy AI is a real-world application of this strategy, merging on-device and cloud AI as needed to deliver optimized user solutions. Through this blend of on-device prowess and cloud capabilities, the company ensures that every interaction with its AI-driven features feels intuitive, smooth, and responsive.
Daehyun Kim, head of the Global AI Center at Samsung Research, underlines that the company’s AI strategy revolves around creating meaningful user experiences. Generative AI stands out within Samsung’s portfolio, enhancing product versatility and utility. Galaxy AI supports various features such as Chat Assist for translations in messaging apps, Note Assist for summarizing notes, and Photo Assist for editing images using AI. Additionally, Samsung’s TVs and home appliances incorporate generative AI; for example, the Generative Wallpaper feature on the 2024 Neo QLED TV displays personalized 4K wallpapers, and the Family Hub refrigerator uses AI-generated cover screens. These innovations highlight the company’s focus on delivering practical, user-friendly AI solutions that enrich daily life.
Proprietary AI Models and Strategic Partnerships
To offer superior generative AI experiences, Samsung engages in partnerships while developing its proprietary AI models. This involves comprehensive R&D efforts, including the creation and refinement of foundation models used for image generation and other visual tasks. Challenges associated with continuous value data like images, compared to discrete text data, necessitate specialized training techniques to manage complexity and enable efficient on-device operations. Samsung’s proprietary models are finely tuned for specific applications — an evident example being the Photo Ambient wallpaper in its latest smartphones that dynamically reflects real-time conditions like weather, showcasing the nuanced capabilities of these AI models.
Anticipating the growing importance of AI in enterprise applications, Samsung has introduced Samsung Gauss2, an enhanced proprietary generative AI model. Gauss2, the successor to Samsung Gauss1, boasts improved performance and efficiency, and it stands out for its multimodal capabilities, enabling it to process and understand various data types simultaneously. Gauss2 is available in three versions: Compact for lightweight on-device AI, Balanced for medium-sized cloud-based tasks like text and code generation, and Supreme for high-performance cloud-based services aimed at improving workplace productivity. This diverse range of models allows Samsung to meet the specific needs of various user segments, ensuring that the best technologies are available in different use cases.
Mixture of Experts (MoE) Technique and Internal Applications
Underlying Gauss2’s efficiency is the Mixture of Experts (MoE) technique, which selectively activates only the necessary expert models for specific tasks within a large-scale neural network. This selective activation reduces computational demand during training and inference processes, allowing the model to address complex problems without unnecessary computational overhead. The efficient resource management enabled by MoE ensures that Gauss2 can handle sophisticated tasks with reduced energy consumption, making advanced AI functionalities accessible even on less powerful devices.
Internal applications of Samsung Gauss2 are widespread. The Device eXperience (DX) Division uses Gauss2’s coding assistant service for R&D. This assistant leverages a specialized model trained on Samsung’s proprietary data to generate the required code, fully integrated into the company’s development environment. The Samsung Gauss Portal, a conversational AI service, aids in tasks like document summarization, translation, and email drafting while future advancements aim to include chart interpretation and image generation. These applications demonstrate Samsung’s proficiency in integrating advanced generative AI models to streamline and enhance internal processes, leading to increased productivity and innovation within the company.
Consumer Engagement and Behavioral Insights
Samsung Electronics remains committed to pushing the boundaries of AI technologies with an emphasis on improving customer experiences. The company doesn’t see AI as an end goal, but rather as a powerful means to enhance everyday life. Drawing on its extensive history of technological excellence and fostering an open innovative culture, Samsung is adept at creating practical, AI-driven solutions designed to elevate the way users interact with their diverse range of products.
By integrating sophisticated AI, Samsung continually sets new industry standards and promotes user experiences that are not only unique but seamlessly integrated into daily routines. Their AI strategies focus on making interactions more intuitive and contextually relevant, ensuring that the technology adapts to individual needs and preferences.
These advancements reflect Samsung’s continuous quest to provide consumers with experiences that truly matter and make a significant difference in their day-to-day lives. Whether through their smartphones, home appliances, or electronics, Samsung’s AI initiatives aim to provide users with smooth, intelligent, and remarkably personalized experiences, further solidifying its leadership in the tech industry.
