Tag: Machine learning
Infineon CY8CKIT-062S2-AI PSoC 6 Edge AI Evaluation Kit is Built for Seamless AI Integration in Embedded Applications
Infineon CY8CKIT-062S2-AI Evaluation Kit is a Hardware platform focused on Machine Learning (ML). Built around the PSoC 6 family of MCUs this dev board includes sensors like radar, microphone, magnetometer, IMU, air pressure sensor, and much more. The board features Wi-Fi and Bluetooth...
Continue ReadingLILYGO T-Glass IS A Google Glass Like Smart Glass Powered by an ESP32-S3
ilyT-Glass is an ESP32-S3-powered smart glasses with a smart Bosch AI IMU. The Bosch IMU is an AI smart sensor that integrates a 6-axis IMU, a 32-bit customizable programmable microcontroller, and various software functionalities. With these functionalities, this can be used in...
Continue ReadingBitNetMCU Slims Down TinyML Models
The BitNetMCU framework simplifies the process of training accurate neural networks for deployment on low-end microcontrollers, such as the 15-cent CH32V003. While major releases of new generative artificial intelligence (AI) tools, like large language models and text-to-image...
Continue ReadingAvnet Unveils MaaXBoard OSM93: A Powerhouse for Edge AI Development
Avnet introduces the MaaXBoard OSM93, a Raspberry Pi-style semi-single-board computer designed to cater to energy-efficient edge artificial intelligence (edge AI) tasks. The board leverages the NXP i.MX 93 system-on-chip (SoC) to power its capabilities, offering a versatile platform for...
Continue ReadingTensorFlow 2.15 Supports CUDA for Accelerated ML on NVIDIA GPUs in Linux
TensorFlow 2.15 simplifies using NVIDIA's CUDA for AI on Linux with a single pip command and boosts performance with updates like CUDA 12.2 and Clang 17. It enhances machine learning efficiency on Windows and introduces advanced tf.function types for broad device...
Continue ReadingMicrochip’s LAN969x Series Ethernet Switches Features TSN, HSR/PRP Redundancy, and Scalable Bandwidth from 46 Gbps to 102 Gbps
In a recent press release, Microchip Technology announced their new LAN969x series of chips powered by a powerful 1 GHz single-core Arm® Cortex®-A53 CPU. This new Ethernet switch offers scalable bandwidths, time-sensitive networking (TSN), and two redundancy protocols for increased...
Continue ReadingAON1120 is a Ultra-Low-Power RISC-V SoC Designed for Always-On Edge AI Applications
At CES2024, AONDevice unveiled its new on-device machine learning chip, the AON1120. It features a RISC-V core, two NPU coprocessors, and a DSP, and operates at a remarkably low power consumption of just 260μW for full-load audio classification tasks. The AON1120 is a system-on-chip...
Continue ReadingArduino Nano 33 BLE Sense Rev2 supports edge computing using Edge Impulse platform
Arduino designed Nano 33 BLE Sense Rev2 board for beginners and entry-level professionals to get familiar with embedded machine learning capabilities. The Arduino Nano 33 BLE Sense Rev2 features Nordic Semiconductor’s nRF52840 microcontroller featuring an Arm Cortex-M4 32-bit...
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