GUGUO CLOUD

   Computing in memory refers to the fusion of storage and computing functions into a single chip, enabling storage and computation to be performed on the same chip. In motion recognition, storage-compute integration can provide the following benefits: · Faster algorithm execution: Computing in memory allows algorithms to be executed internally within the chip, avoiding the time and energy consumption associated with transferring data from external devices to the processor, thereby speeding up algorithm execution. · Lower power consumption: In computing in memory systems, data processing can be completed on the same chip, reducing energy consumption associated with data transfer and processing. · Better privacy protection: Computing in memory architecture allows for data to be processed locally, avoiding the need to transmit data to the cloud for computation, thus protecting user privacy. · Higher reliability: In computing in memory systems, algorithms can ...

   Computing in memory refers to the fusion of storage and computing resources to improve computational efficiency and data processing speed. Human recognition is a computer vision technology based on images or videos, aimed at recognizing and classifying human form, movement, facial expressions, and other characteristics. Specifically, computing in memory architecture can play a role in the human recognition algorithm: · Feature extraction: Human recognition algorithms usually require feature extraction from a large amount of image or video data, which requires a lot of computing resources and storage space. By using computing in memory technology, seamless data exchange between storage and computing can be achieved, thereby quickly and efficiently completing the feature extraction process. · Data storage: Human recognition algorithms require a large amount of data for training and testing, which usually needs to be stored in high-capacity storage devices. By using ...

  WTM2101 chip is a microprocessor chip based on the computing in memory architecture, which is independently developed by the Institute of Computing Technology, Chinese Academy of Sciences. This chip adopts a new computing model, integrating storage and computation to achieve more efficient data processing and lower power consumption. I. Advantages of the Computing in memory Architecture In the traditional computer architecture, memory and processor are separate. In the process of data processing, data needs to be constantly read from memory to the processor for calculation, and then the calculation results are written back to memory. The disadvantage of this architecture is slow memory access, high data transmission cost, and a potential bottleneck between memory and processor. In contrast, the computing in memory architecture integrates memory and processor, namely integrating memory into the processor, to achieve a highly unified computing and storage. The advant...

  Speech recognition is a technology that converts human speech into understandable text or commands. Its principle is to recognize words, phrases, or complete sentences by analyzing the acoustic features in the speech signal. Speech recognition technology typically involves three main steps: speech signal preprocessing, feature extraction, and application of a speech recognition model. The principle of speech recognition models is mainly based on deep learning technology. The basic idea is to convert the speech signal into corresponding text or commands, and learn the mapping relationship between speech signals and text through model training, thereby achieving the task of speech recognition. The WTM2101 chip adopts a computing in memory architecture, which integrates memory and processors in the same unit, thereby achieving efficient data processing and model inference. In speech recognition, both DNN and HMM models play important roles. The DNN model is mainly used for...

  WTM2101 is a speech recognition chip based on computing in memory architecture, which has high computing performance and low power consumption characteristics. It can achieve real-time speech recognition through the built-in speech recognition algorithms and models, and can be used as the core processor of intelligent products such as smart speakers and voice assistants. Compared with other chips, WTM2101 has the following advantages: · Computing in memory architecture: WTM2101 adopts a design based on computing in memory architecture, which tightly integrates storage and computing units, achieving higher data processing efficiency and lower power consumption. · Multi-model support: WTM2101 supports multiple speech recognition models and algorithms, such as DNN, HMM, etc. Different models can be selected according to different application scenarios to achieve more accurate speech recognition. · Independent speech front-end processing unit: WTM2101 adopts an indepen...

  WTM2101 is a low-power, computing in memory  chip that can be used for voice recognition and call noise reduction in smart glasses. Smart glasses typically include cameras, displays, processors, and various sensors such as accelerometers, gyroscopes, and heart rate sensors, which can collect user physiological and environmental data for analysis and processing by the processor. Using the WTM2101 chip, it is possible to implement computing in memory  technology in smart glasses. This technology utilizes the chip's low-power performance and efficient algorithms to analyze and process external commands or noise in real-time, thereby improving the response speed and energy efficiency of smart glasses. Additionally, the chip supports wireless communication and can transmit data to the cloud for further analysis and processing. Moreover, neural network operations can also be applied to smart glasses, such as for facial recognition, gesture recognition, and speech recognition....

  WTM2101 is a computing in memory (SoC) chip designed for intelligent wearable devices and IoT applications, featuring low power consumption and high efficiency. This chip integrates multiple functional units such as processor, memory, sensor interface, digital signal processor (DSP), wireless communication interface, etc., to realize data processing, analysis, and transmission tasks of intelligent wearable devices. In addition, the chip also supports various functions such as voice recognition, noise reduction, and health monitoring, which can improve the user experience of wearable devices. WTM2101 chip has some unique voice algorithm advantages, including: · Low power voice wake-up: WTM2101 chip adopts low-power voice wake-up technology, which can be awakened by voice in standby mode, thereby improving the response speed and energy efficiency of voice recognition. · Noise suppression and echo cancellation: The digital signal processor (DSP) built into the WTM2101 chip can ...