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Produktinformation
Produktöversikt
The MAX78000EVKIT# is an evaluation kit to evaluate MAX78000 IC. The MAX78000 is a new breed of AI microcontroller built to enable neural networks to execute at ultra-low power and live at the edge of the IoT. As applications demand more intelligence at the edge, this product combines the most energy-efficient AI processing with Analog Device's proven ultra-low power microcontrollers. Our hardware-based convolutional neural network accelerator enables battery-powered applications to execute AI inferences while spending only microjoules of energy. Artificial intelligence requires extreme computational horsepower, which comes at a cost in terms of power consumption and heat. Suitable for audio processing (multi-keyword recognition, sound classification, noise cancellation), facial recognition, object detection and classification, time-series data processing (heart rate/health signal analysis, multi-sensor analysis, predictive maintenance).
- Dual-core ultra-low power microcontroller
- Arm cortex-M4 processor with FPU up to 100MHz o 512KB flash and 128KB SRAM
- Neural network accelerator
- Highly optimized for deep convolutional neural networks
- 442K 8-bit weight capacity with 1,2,4,8-bit weights
- Power management maximizes operating time for battery applications
- Integrated single-inductor multiple-output (SIMO) switch-mode power supply (SMPS)
- Security and integrity
- Available secure boot
- AES 128/192/256 hardware acceleration engine
- True random number generator (TRNG) seed generator
Kommentarer
ADI products are only authorized (and sold) for use by the customer and are not to be resold or otherwise passed on to any third party
Tekniska specifikationer
Analog Devices
Artificial Intelligence Devices
ARM
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MAX78000EXG+
Convolutional Neural Network Accelerator
Cortex-M4
Eval Kit MAX78000, MAX32625PICO Debugger w/Cables, Adapter, Camera Module, USB Cable, Shunts
No SVHC (21-Jan-2025)
Teknisk dokumentation (3)
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Lagstiftning och miljö
Det land där den sista betydelsefulla tillverkningsprocessen utfördesUrsprungsland:Philippines
Det land där den sista betydelsefulla tillverkningsprocessen utfördes
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