We focus on developing core AI methodologies and incorporating a range of applied AI techniques. Our efforts include:

• Pioneering machine learning and AI by tackling fundamental challenges such as integrating learning and perception with high-level knowledge. This approach aims at learning more efficiently with less data and enhancing reasoning capabilities, taking into account the user’s context and domain knowledge.

• Crafting AI solutions that enable intuitive interaction between users and Samsung’s devices, facilitating a seamless experience amid the complexity of modern technology. Our work extends to creating digital humans through the integration of speech recognition, language comprehension, and environmental understanding technologies.

• Advancing simulation technologies for AI and robotics, enabling rapid testing of new technologies in lifelike environments.

Our goal is to boost the intelligence of generative models via extensive research in large language and code models, as well as multimodal models. This research not only enhances our product competitiveness but also improves internal productivity. Our commitment extends to building reliable models and services through the application of technologies like reinforcement learning, Retrieval-Augmented Generation (RAG), prompt engineering, and efficient model serving.

Our development of voice technology aims to achieve a human-like understanding of speech and sounds, facilitating natural conversations and expressions. We are also enhancing listening experiences through advanced analysis and understanding. Our core technologies include speech recognition, synthesis, processing, sound recognition, source separation, quality enhancement, and audio search. These technologies enable Samsung devices such as smartphones, TVs, refrigerators, washing machines, and air conditioners to offer tailored intelligent services in various settings.

As more Samsung devices, including smartphones, TVs, and even ovens, come equipped with cameras, there is a significant opportunity to transition these from smart to AI-driven devices with the support of vision AI. We aim to provide a comprehensive vision pipeline that delivers AI services for Samsung devices, ranging from low-level camera sensor processing to high-level visual recognition and visual reasoning. Our focus includes neural processing for visual quality enhancement and understanding various visual contexts, such as object status and activities of people and pets, particularly in domestic environments. In addition, we are developing vision AI services that enable collaborative functionalities among multiple devices.