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Machine Learning

  • NuMicro® Low Power ML51 Series Microcontroller
    Product  Learning  Watch time - 3:48
    This video is going to show you our latest Low power ML51 series microcontroller. The ML51 platform features high performance and pin-to-pin compatibility with our 32-bit microcontrollers, such as M480, M031, and M261 series . ML51 series supports up to 24MHz operation frequency, and 1.8V to 5.5V operating voltage, it provides four power modes: normal run mode, low power run mode, low power idle mode, and power down mode. In power down mode with multiple wake-up sources. The power consumption in low power idle mode is down to 13 μA and in power down mode it is less than 0.8 μA. When the clock runs at internal RC oscillator can also allow 9600 baud rate for UART communication. ADC supports up to 8 channels of 12-bit ADC, analog comparator and five levels of the internal reference voltage, ML51 provide two channels of PDMA, strong immunity like 8 kV ESD and 4.4 kV EFT. - For more information, please visit: http://www.nuvoton.com buy now: NuMaker-ML51PC/ http://direct.nuvoton.com/numaker-ml51pc NuTiny-ML51EB9AE/ http://direct.nuvoton.com/nutiny-ml51eb9ae contact us: SalesSupport@nuvoton.com #Product #Learning #Basic #en
    #無線藍芽耳機 #Basic #電子鎖 #Product #8051 #wireless Bluetooth earhone #Learning #8-bit #微控制器 #e-lock #煙霧感測器 #smoke detector #Nulink #ML51 #N76E003 #NuMicro #video door phone #門鈴 #cradle #en #NuMaker #TWS #microcontroller #003 #Nuvoton #NuTiny #low power
  • Nuvoton Industrial IoT Processor – NUC980 Series
    Product  Learning  Watch time - 4:26
    NUC980 Series Microprocessor is a solution designed for industrial control and industrial IoT applications, such as gateway, serial server, remote control unit, plug and play data collector and IoT development platforms. NUC980 series embedded with an ARM9 core supports Linux, FreeRTOS and Non-OS Board Supporting Package. By using MCP technology, NUC980 series supports up to 128 MB DRAM. Not only can NUC980 simplify your hardware design, but help your product time to market. A less-layered PCB and a reduced PCB size can lower the BOM cost. NUC980 supports 2 High Speed and 6 Full Speed USB Host controllers that can be used for a replaceable module due to the plug and play feature of USB interface. Other interfaces include 10 UART, 4 I2C, 3 SPI, 4 CAN BUS, and 2 Camera sensor interface. Designers can use these interfaces to collect or convert the data needed. NUC980 features AES, RSA, SHA and ECC hardware crypto accelerator for CPU offloading. This crypto engine can be applied at data transfer, identification, and key exchange.Nuvoton also provides IoT protocols like HTTP, HTTPS, MQTT, CoAP, openSSL to help customers accomplish a security IoT platform easily. Nuvoton NUC980 adopts MCP technology supporting up to 128 MB DRAM. Developers can design a secure IoT product fast and convenient with the help of the hardware crypto engine. Next, I will introduce related development platforms. NuMaker NUC980 Serial Server Board is suitable for applications like serial server or serial to Ethernet gateways. This develop board includes 2 10/100 Ethernet ports, 8 UART ports, 1 MicroSD Slot, 2 USB ports and 16MB SPI NOR Flash. NuMaker NUC980 USB developer board is suitable for data collection applications. This board includes 1 10/100 Ethernet port, 8 USB ports, 5 UART ports, and 128 MB NAND Flash. NuMaker NUC980 Industrial IOT developer board is suitable for IOT applications. This board includes 1 10/100 Ethernet Port, 2 USB ports, microphone input, earphone output, 128 MB SPI NAND Flash and an Arduino Compatible interface. - For more information, please visit Nuvoton Technology Website: https://bit.ly/3hVdcmC buy now: http://direct.nuvoton.com/arm9-mpus/ contact us: SalesSupport@nuvoton.com #Product #Learning #Basic #en
    #Learning #Basic #NUC980 #Nuvoton #Processor #Industrial IoT #Gateway #Product #en #Serial Server #Industrial Control
  • Nuvoton Machine Learning Speech Recognition Solution - implement on NuMaker-PFM-M487 platform
    Watch time - 1:26
    Voice controlled electronic devices have become a popular trend. The advantage is that electronic devices can be controlled without hands. For this scheme, we use Google TensorFlow as the algorithm development environment of speech recognition for deep learning. Then we implement speech recognition on NuMaker-PFM-M487 platform, and realize an offline and instant speech recognition system by Keyword Spotting. Nuvoton Website: www.nuvoton.com
    #Nuvoton #speech recognition #新唐科技 #NuMaker PFM-M487 #machine learning #MCU

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