“Samsung is applying AI across our operations to develop foundational technologies that make AI more intuitive and seamless,” said Young Hyun Jun, Vice Chairman and CEO of Samsung Electronics, in his opening remarks. “This year’s Samsung AI Forum brings together leading experts from industry and academia to discuss how AI is transforming society and industry, and to share insights in what we expect will be a meaningful exchange of ideas.”

This year’s forum features keynote lectures from world-renowned AI scholars; including Yoshua Bengio, Professor at the University of Montreal and a pioneer in deep learning; as well as Stefano Ermon, Professor at Stanford University and Co-founder of the startup Inception, who spearheaded the development of diffusion-based language model (DLM).

Day One: Global Scholars Explore the AI Semiconductor Future

Samsung’s Device Solutions (DS) Division hosted the first day of the forum under the theme “Vertical AI Strategies and Vision for the Semiconductor Industry,” near Samsung’s semiconductor site in Yongin, Korea.

Professor Bengio delivered a keynote address outlining the far-reaching risks of today’s AI models, including their ability to bypass human control and the potential for misuse. As a safeguard, he introduced Scientist AI, a new model designed to help mitigate such concerns.

“Unlike models built to mimic or please humans, Scientist AI focuses on providing truthful answers grounded in verified facts and data,” said Professor Bengio, highlighting the model’s potential to enhance AI safety and accelerate scientific discovery. He also shared his latest research findings on AI for materials development in the keynote.

Amit Gupta, Senior Vice President of Siemens EDA, led a session titled, “The Future of AI-Driven Electronic Design.” During his presentation, he emphasized the importance of integrating AI into electronic design automation (EDA) tools and noted that end-to-end systems spanning the entire workflow will be key to unlocking AI’s full potential.

Technical sessions featuring Yong Ho Song, Executive Vice President and Head of the DS Division’s AI Center, Professor Seokhyung Kang of Pohang University of Science and Technology (POSTECH) and Professor Il-Chul Moon of Korea Advanced Institute of Science and Technology (KAIST) followed. Each speaker shared recent research developments in AI applications for semiconductor design and manufacturing, while also offering perspectives on how the field is evolving.

“AI is already an essential tool in chip design and software development,” said EVP Song. “As semiconductor manufacturing grows more complex, we expect AI to help address the technical challenges that arise.”

The forum also recognized three winners of the Samsung AI Researcher of the Year award: Professor Nicolas Papernot of the University of Toronto, Professor Rose Yu of the University of California San Diego and Professor Lerrel Pinto of New York University. All the award recipients were invited to present their work and share insights from their latest research.

Day Two: Focusing on the Era of Agentic AI and Boosting Productivity

Day two of the forum will be held online by Samsung’s Device eXperience (DX) Division and streamed live on Samsung Developer’s YouTube channel under the theme “Generative to Agentic AI.”¹

“Generative AI has already become an essential tool across daily life and industries,” said Paul (Kyungwhoon) Cheun, CTO of the DX Division at Samsung Electronics and Head of Samsung Research. “As we enter the era of Agentic AI, Samsung will continue to focus on developing AI technologies that provide users with tangible benefits.”

The second day includes keynote speeches from Joseph E. Gonzalez, Professor at UC Berkeley and a leading researcher in language models and AI agents; Subbarao Kambhampati, Professor at Arizona State University and a world authority in AI planning and decision-making; and Stefano Ermon, Professor at Stanford University and Co-founder of Inception.

Professor Gonzalez will present his research on enhancing the agentic capabilities of large language model (LLM)-based systems. In particular, he will introduce the sleep-time compute paradigm, which enables agents to use idle interaction intervals to reason, learn and plan.

Professor Kambhampati will share his research on large reasoning models (LRMs) aimed at addressing the limitations of LLMs. He will point out that while current models excel at text generation, they remain limited in factual accuracy, planning and complex reasoning — highlighting key challenges such as ensuring answer guarantees, enabling context-adaptive computation, and providing interpretations of intermediate reasoning steps.

Professor Ermon will introduce diffusion language model, which applies diffusion models — widely used for image, video, and audio generation — into the language domain. This approach aims to overcome the limitations of traditional sequential text generation methods and propose a more efficient paradigm for language models.

In the technical sessions, Samsung Research representatives will present their latest developments, including:

• Camera AI technology for automatic color temperature adjustment
• Knowledge distillation-based methods for more efficient training of LLMs and their applications
• On-device AI technologies designed to bring LLMs to consumer electronics such as smartphones and TVs
• Automatic dubbing technology that generates voiceovers in the original speaker’s voice
• Deep dive technology that uses multi-agent systems to analyze and automatically generate various reports
• Document AI technologies that automatically convert diverse document formats into structure data for LLMs and agent systems
• An on-device AI studio for developers that shortens the development cycle of generative AI models

¹ Intelligent systems capable of making autonomous decisions and carrying out tasks on their own.

The five-year MoU was signed by Kyungyun Roo, Managing Director, SRI-N (3rd from L) and Prof. V. Kamakoti, Director, IIT Madras (3rd from R)

Samsung R&D Institute, Noida (SRI-N) has deepened its industry-academia engagement through an MoU with the Indian Institute of Technology Madras (IIT Madras) to drive collaborative research, accelerate technology development and nurture future-ready talent. The partnership will focus on pioneering advancements in AI for Indian languages, HealthTech and emerging areas such as Generative AI, reinforcing Samsung’s commitment to build a stronger innovation ecosystem aligned with the vision of ‘Make in India’ and ‘Digital India’.

The five-year MoU that was signed by Kyungyun Roo, Managing Director, SRI-N and Prof. V. Kamakoti, Director, IIT Madras, aims to provide a wide range of collaborative activities, including sponsored research projects, consultancy projects, technology licensing, trainings, facility development and sponsorship of student fellowships in future.

“At SRI-N, we are continuously working towards creating technologies that empower people and communities. Our collaboration with IIT Madras marks an important step towards co-creating solutions that are meaningful, inclusive, and future-ready. Together, we aim to enhance the Galaxy AI ecosystem with deeper integration of Indian regional languages and contribute to breaking language barriers across the country. In addition, we are engaging in co-development of emerging technology and enhancement of skill sets,” said Kyungyun Roo, Managing Director, Samsung R&D Institute, Noida.

Prof. V. Kamakoti, Director, IIT Madras, echoed the excitement surrounding this collaboration. “We are proud to partner with SRI-N and this alliance will sponsor revolutionary research and technological development through effective utilization of AI technology. In the fast-changing tech landscape, the MoU will upskill beneficiaries to develop strong connection between theoretical knowledge and practical industry solutions required to mitigate risks and address uncertainty,” he said.

This strategic partnership between Samsung India and IIT Madras adds to SRI-Noida’s growing network of academic collaborations, having already established long-term strategic MoUs with premier institutes including IIT Delhi, IIT Kanpur, IIT Bombay and IIT Ropar. Samsung and these institutes are charting an expansive roadmap toward a smarter, more connected world. By combining industry-scale resources with academic rigor, these partnerships are cultivating a thriving ecosystem for future breakthroughs.

SRI-Noida will sponsor research and development (R&D) projects, which may be conducted at IIT Madras, the company’s premises or through a collaborative arrangement at both locations.

In this final installment of Samsung’s AI Leadership series, Samsung Newsroom explores how Samsung’s technological expertise and research initiatives aim to refine AI-driven user interactions across its expansive portfolio.

Prioritizing Customer Experiences

Samsung utilizes on-device and cloud-based AI solutions in its offerings. This strategy is further reinforced by the pursuit of hybrid AI, which integrates the strengths of both technologies to provide context-aware, tailored solutions for diverse user needs. The decision on which type or combination of technologies to employ is anchored by this ultimate goal — “How can we best serve the consumer?”

On-device AI delivers secure and efficient AI experiences in devices such as smartphones and TVs by utilizing only the data and resources on the device itself. Because on-device AI doesn’t communicate with the cloud, responses are virtually instantaneous. Since data doesn’t leave the device, the technology is often considered safer for sensitive procedures such as those that involve personal information.

Similarly, edge AI operates independently of cloud infrastructure and relies solely on specific local resources to perform AI functions. In interconnected home environments where appliances and IoT devices work in tandem, data processing in edge AI can be handled by either devices with higher performance specifications or devices nearby — without depending on the cloud. Thus, edge AI offers speed and security benefits akin to on-device AI.

While on-device and edge AI rely on technologies that use smaller models and fewer computations in constrained hardware environments, experiences that require access to extensive online information or high-performance computing are supported by cloud-based AI. The technology utilizes vast datasets and large-scale AI models hosted on servers to deliver a range of advanced capabilities. To achieve high performance while maintaining efficiency and security, Samsung conducts extensive research in areas including minimizing data latency, optimizing model efficiency and implementing data anonymization and encryption.

With expertise in all these different forms of AI — on-device, edge and cloud-based — Samsung takes a step further and combines different formats as necessary to best serve the needs of each use case. In hybrid AI, sensitive and quick-response data can be processed using on-device AI models while the cloud can manage processing that requires external resources like up-to-date information or high-performance models. Galaxy AI, for instance, uses both on-device AI and cloud AI — operating either independently or simultaneously as needed — to deliver optimized solutions for users.

Generative AI Integrated Into Everyday Life

Samsung continues to drive innovation in the realm of generative AI, further enhancing the versatility of its products and services. For instance, Galaxy AI offers a suite of features¹ including Chat Assist, which supports translation and interpretation in select messaging apps; Note Assist, which helps summarize notes and generates note covers; and Photo Assist, which edits images with generative AI.

Generative AI is also supported on select Samsung TVs and home appliances through the Generative Wallpaper feature.² Users can enjoy 4K wallpapers that fit their tastes on the 2024 Neo QLED TV or transform their kitchens with AI-generated cover screens on the Family Hub refrigerator.

To offer the best generative AI experience on its devices, Samsung not only collaborates with partners but also develops its own AI models. From fundamental technologies beginning with initial research — including foundation model development — to data collection and training as well as lightweight AI model development, Samsung leverages its vast expertise across the AI R&D board to optimize solutions and meet each product’s specific needs.

For example, Samsung developed proprietary foundation models specifically for image generation, editing and transformation to support a wide range of visual creation experiences. This was a challenge because unlike text data — which is composed of discrete values — image data consists of continuous values, offering nearly limitless possibilities for generation. To address this complexity, the company applied specialized training techniques to the image models while reducing their size for efficient on-device operation. Developers refined deep learning algorithms and data augmentation techniques to allow for rapid computation and seamless image creation with minimal processing requirements.

These foundation models were then fine-tuned for specific applications. For instance, the Photo Ambient wallpaper in Samsung’s latest smartphones integrates the image model with real-time data to create dynamic wallpapers that visually reflect current conditions such as snowfall or a starlit night depending on the time and weather.

Samsung Gauss2: Samsung’s Proprietary Generative AI

The application of generative AI is rapidly expanding beyond personal daily use into enterprise environments. Samsung has developed a proprietary generative AI model to strengthen its competitiveness in AI technology, securely manage sensitive internal information and optimize performance and scalability for specific purposes. Proprietary generative AI allows the company to establish models tailored to a wide range of products and services while improving internal productivity in a more secure environment.

Samsung recently unveiled its upgraded proprietary generative AI model, Samsung Gauss2 with better performance and efficiency compared to its predecessor, Samsung Gauss1, introduced last year. Samsung Gauss2 is a multimodal³ model capable of simultaneously processing and understanding various data types.

Samsung Gauss2 is available in three models tailored to specific use cases — Compact, Balanced and Supreme. The Compact model is a lightweight variant optimized for on-device AI. The Balanced model, a medium-sized cloud-based variant, is designed for tasks such as text and code generation. The Supreme model, a large cloud-based variant, is built to support high-performance services with a particular focus on improving workplace productivity.

To efficiently implement large models like the Supreme variant, Samsung has incorporated the Mixture of Experts (MoE) technique to selectively activate only the “expert models” most suitable for specific tasks within a large-scale neural network.

MoE significantly reduces the number of computations during training and inference by activating only the necessary components, rather than running all expert models simultaneously in response to each query. This selective activation not only enhances efficiency but also facilitates the expansion of the model to address increasingly complex problems by adding more expert models. Samsung has meticulously trained these expert models to operate accurately and without interference.

Samsung Gauss2 is already being applied across multiple areas within Samsung. For instance, the Device eXperience (DX) Division employs Samsung Gauss2’s coding assistant service to support research and development activities. This service leverages a specialized model — trained on Samsung’s proprietary data, code and processes — to generate code needed for product and service development. Fully integrated into the company’s internal software development environment, the coding assistant supports natural language interactions and various programming languages to streamline developer workflows.

The Samsung Gauss Portal, a conversational AI service, is widely used for workplace tasks such as document summarization and translation, email drafting and more. Future updates aim to enhance the portal’s natural language question-and-answer capabilities and expand its multimodal features to include interpreting tables and charts and generating images.

Strengthening AI Capabilities Through Consumer Engagement

Leveraging its extensive product lines, Samsung is developing technologies that support on-device, cloud and generative AI to deliver a distinct competitive edge in AI capabilities.

By connecting with consumers through its products, the company gains valuable insights into user behaviors and needs to enable the development of practical AI solutions. This creates a virtuous cycle — whereby user data informs AI advancements, which in turn deliver value back to consumers.

Samsung couples this understanding of products with in-house advancements and strategic partnerships to implement optimal AI technologies. For instance, neural processing units (NPUs) — specialized accelerators for AI computation — must be tailored to meet the specific requirements of individual products, rather than applied uniformly across all devices. Samsung not only designs NPUs in-house for its own products but also applies software optimizations to partner chipsets, ensuring support for AI functions and peak performance in Samsung devices.

In addition, the company draws on the expertise and perspectives of product-specific specialists to address security issues and facilitate the immediate application of solutions to products while driving continuous technological improvement. The blockchain-based, multi-device security solution Knox Matrix is a notable example of how this collaborative approach can create an environment in which connected devices check each other for threats to enhance security.

Through the implementation of customized AI technologies, Samsung continues to unlock new possibilities for users. Looking ahead, the company plans to deliver more differentiated AI experiences that empower users through meaningful and enriching interactions.

¹ Availability of Galaxy AI features may vary by region, country, OS or One UI version, model and carrier.
² Generative Wallpaper feature may vary by region and model.
³ Capable of simultaneously understanding and processing various types of data (modalities) including text, images, audio and video.

Until now.

With the Galaxy S24, Samsung continues leading camera innovation to make these limitations a thing of the past for Galaxy users. Thanks to Galaxy’s ProVisual Engine — a suite of AI-powered tools — photographers can maximize their creative freedom every step of the way, from shot to setup to backend editing. Fueled by enhanced NPU performance and bolstered by an extensive library of more than 400 million image datasets, the Galaxy S24 ensures you can snap the best shot every time, no matter your experience level.

Never Miss a Moment, Regardless of Capture Mode

With Galaxy S24, gone is the need to tinker with camera modes or look for the best settings to capture a great shot:

• First up, the Quad Tele System ensures you get optical quality zoom at 2x, 3x, 5x, 10x and every step in between. This feature allows you to effortlessly capture every detail of a performance, wedding or even graduation ceremony, no matter how far away you’re sitting.

• Nighttime is often a memory-making time with friends and family, especially in the warmer months, but dim lighting conditions can make capturing these moments a challenge. Galaxy S24 Ultra’s powerful Nightography capabilities mitigate this very struggle even from a distance. Compared to the previous model, its sensor has nearly doubled in size from 12.52 square millimeters to approximately 24.47 square millimeters, helping Galaxy S24 Ultra capture details with even more precision. It also has bigger pixels — nearly 60% larger and measuring 1.4μm on each side of the pixel at 5x zoom.¹ Combined with enhanced AI ISP, this means the Galaxy S24 Ultra can capture more light and create brighter, less noisy images. What’s more, the photo shutter speed is 30% faster and the telephoto camera’s optical image stabilization angle is wider. That means you’ll capture clearer images more quickly, even if your hands are a little shaky.

• Or maybe you’ve already captured your shot, but it’s not quite right. This is where Generative Edit takes the stage, harnessing generative AI to adjust objects and generate a perfectly blended background in their place. You can perfect the moment you captured, creating the ideal memory to look back on. Generative AI enables edits such as straightening and resizing, then harnesses in-painting and out-painting techniques to fill any gaps in the image. AI then determines the suitability of the results and handles any necessary post-processing.

Capture Expert-Level Results With Precision Tools

For amateur and expert photographers alike, Expert RAW enables the creation of professional-quality images. Using AI, Galaxy S24 features 24MP fusion, which combines images to get the most out of different resolutions. High resolution 50MP images provide more detail, while 12MP images provide multi-frame synthesis, which improves noise and dynamic range. Put together, they create the most incredible photo in any scenario. Add in HDR, which offers a more balanced range of brightness, color and contrast, and these tools let you edit like a pro to capture your best image yet.

Pro-Grade Editing for Amateurs and Experts Alike

Finally, for those wanting to take their photography chops to the next level, Enhance-X, Galaxy’s companion editing app, gives you even more creative control.

The latest version of Enhance-X arms you with a new feature: Camera Shift. Moments are fleeting and sometimes you only have a second to take your shot, which can leave the final result less compelling than you intended. Shooting from above can have the effect of making a subject seem smaller, while shooting from below can make it seem bigger or more powerful, and a straight-on angle makes a subject seem more relatable. Camera Shift lets you shift your photo’s perspective after you take your shot. Now you can focus on capturing the moment without worrying about having the perfect angle or camera position. Once you’ve taken your photo, Camera Shift lets you achieve the effect you want by using AI to adjust the angle and perspective.

¹ Size comparison of the Galaxy S23 Ultra 10x and Galaxy S24 Ultra 5x’s sensor and pixel capabilities. Dimensions are measured to the nearest integer.