Definitely sounds like Akida Artificial Intelligence Smarter...

Definitely sounds like Akida
Artificial Intelligence
Smarter future powered by AI
Artificial Intelligence (AI) is playing an increasingly prominent role in our day to day lives and it promises to transform the technological landscape as it continues to develop. Complex algorithms and processes, such as machine learning and deep learning, are driving the transformation, 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.
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Background
Boosting mobileintelligence
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.