Global
Artificial Intelligence
boosting the need for more powerful on-device AI solutions. Optimized to offer speed and power efficiency, Samsung Exynos processors deliver
cutting-edge performance designed to maximize the power of AI.
Background
Boosting mobile intelligence
From the camera to smart assistants, AI can be found in almost every smartphone feature. By simulating human intelligence, AI enables our devices to acquire information and rules automatically, and even reach conclusion and take actions independently. These capabilities enable mobile devices to offer more enriching and secure experiences. As the technology continues to advance, fast and power efficient on-device AI solutions will be key to unlock future innovations, such as virtual reality and autonomous driving, and reduce the reliance on cloud AI operations.
* Device is fictitious creation. Image simulated for illustrative purposes.
Machine learning
Empowering devices
and machines to learn
Machine learning is the process which enables AI to analyze complex data and anticipate future actions automatically. By categorizing data with labels through supervised learning and identifying patterns in data sets via unsupervised learning, the process gives devices the ability to help us make decisions quicker and with greater accuracy.
With reinforcement learning methods, a process which resembles how people and animals learn through trial and error, machines and devices can expand their capabilities independently without explicit programming. Together, these processes form the foundation for all AI-enabled features and functionalities.
Deep learning
A breakthrough
in AI
Thanks to deep learning, our smartphones can now analyze and recognize input data such as images and objects with incredible accuracy. This capability is enabled by Deep Neural Network (DNN), which contains more than two layers between the input and output. Similar to the way a human brain functions, DNN operates by passing the input through the layers of connected neurons for processing. Convolution, a linear mathematical operation, is typically employed to identify patterns in data for image, speech, and natural language processing.
Neural processing unit
An intelligent yet
efficient brain
Smart, AI-powered features and capabilities involve complex computational operations which can exceed the capacity of traditional components.
Engineered to execute intricate computations efficiently, the Neural Processing Unit (NPU) delivers the performance required to carry out demanding AI operations, such as image recognition and smart assistants. In mobile devices, the NPU is built into the processor to support smart features and take smartphone capabilities to the next level. In addition to accelerating machine learning tasks, the component is also designed to consume reduce power consumption without sacrificing performance. Compared to GPUs and CPUs, NPUs offer more power and efficiency for AI processing.
AI in action: Photography
Next-level
smart camera
With enhanced visual detection capability, AI-powered camera enables smartphones to offer more enriching photography experiences, empowering users to capture their vision.
Face detection capability allows devices to optimize white balance, exposure, and more for portrait photography, enhancing the realism and richness of skin tones in all lighting conditions. When photographing peoples in landscapes, semantic segmentation process automatically distinguishes different elements within the frame and enables the smartphone to provide the best settings for each component to produce vivid and life-like images.
* The depicted device is a fictitious creation.
No simulation of any real product is intended.
AI in action: XR
Creating
a new reality
AI forms a key part of the engine behind the continued advancement of extended reality (XR). The technology gives mobile devices the ability to process and understand the 3D world, providing the platform for more engaging XR services. Object recognition capabilities combined with location information, for example, facilitate interactions between physical and virtual realities, which enable features such as 3D scanning and text translation. From education to retail, innovations in AR can help a wide range of industries and sectors provide enriching experiences.
AI in action: Virtual assistant
Smart intelligent assistants
By performing tasks and answering questions, smart assistants are making our everyday life simpler and more convenient.
The technology is made possible by processing language and speech patterns through AI platforms.
In addition to completing tasks, AI-powered smart assistants can also learn from the data input to enhance predictions. While smart assistants are typically cloud-based programs, on-device AI solutions can offer
the necessary performance to power speech recognition algorithms. As natural language processing continues to advance, virtual assistants will also become more powerful.
* The depicted device is a fictitious creation.
No simulation of any real product is intended.
Exynos Mobile Processor
Paving the way
for AI
Equipped with best-in-class AI solutions, Samsung Exynos processors enable users to enjoy the next-generation mobile experiences. Launched in 2018, Exynos 9810 was the first processor in the series with deep learning software.
With the addition of neural processing unit integration, the Exynos series delivers unmatched performance for mobile AI operations. The newly introduced Exynos 2100 processor, featuring triple-core neural processing unit (NPU) and improved digital signal processor (DSP), makes on-device AI practical through faster AI processing capabilities up to approx. 26 trillion operations per second (TOPS).1 By developing algorithms that are four times lighter and eight times faster than existing solutions, Samsung Exynos will continuously set a new standard for AI processing to push the boundaries of the next generation mobile experience.
1) Based on Samsung's internal test results.
