Introduction to HDC
(Hyper-Dimensional Computing)

HDC is a computational method that performs information representation and processing in a high-dimensional vector space.

It is designed similarly to how the human brain stores information by distributing it across numerous neurons, enabling rapid information retrieval.

In 2023, it was recognized by Quanta Magazine as one of the three major innovations in computer science, and in 2024, Bank of America named it one of the five key innovations in artificial intelligence.

HDC offers faster learning and inference speeds compared to traditional AI algorithms and can operate smoothly even on relatively low-spec computational devices.

Additionally, it can be applied to various fields such as autonomous driving, telecommunications, and healthcare, making it well-suited for on-device AI implementation.

HDC vs Deep Learning

HDC Advantage

Applications of HDC 

Robotics and Autonomous Driving

HDC can be utilized for real-time processing of sensor data, pattern recognition, and decision-making in robotics and autonomous driving systems. It supports the operation of robots and vehicles by processing sensor data efficiently and making timely decisions.

Internet of Things (IoT) and Communications

HDC's characteristics, such as low power consumption, real-time processing, and error tolerance, make it suitable for IoT and other communication fields. It meets the requirements for low power consumption, high processing speed, and high reliability often demanded in these areas.

Security

With its excellent pattern recognition and anomaly detection capabilities, HDC can be used in security systems for functions such as access control, intrusion detection, and response.

Healthcare

HDC excels in time-series data analysis and pattern recognition, making it applicable in various healthcare areas. It can be used for real-time patient monitoring, condition prediction, and disease pattern recognition.