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January 6, 2023
/PRNewswire/ -- Seeed Studio, an AIoT hardware company and NVIDIA NPN preferred partner, introduced reComputer J40 series powered by the new NVIDIA® Jetson...
January 4, 2023
Edge Impulse has announced official support for BrainChip's neural processor AI IP, making BrainChip the first strategic IP partner on the Edge Impulse platform.
January 4, 2023
Voice AI capabilities to our existing projects and controlled a custom-built home automation system just using voice commands.
November 28, 2022
/PRNewswire/ -- Edge Impulse, the foremost development platform for ML on edge devices, today announced a joint initiative to advance professional machine...
November 24, 2022
A decade on from its debut running on high-end servers, deep learning is making its way to far more constrained systems out on the edge, though often with the help of significant amounts of pruning and tuning.
November 15, 2022
By combining hardware acceleration, smart MEMS IMU sensing, and an easy-to-use development platform for machine learning, Alif, Bosch Sensortec, and Edge Impulse have dramatically simplified
November 10, 2022
Utilize TinyML for some useful projects. Aims to add voice control to existing Smart Home Systems with an ESP32 device and TinyM
November 9, 2022
CAESAREA, Israel – POLYN Technology, a fabless semiconductor company providing Neuromorphic Analog Signal Processing (NASP) Tiny AI chips, and Edge Impulse, the leading embedded machine-learning (ML) development platform, have partnered to address ultra-low-power on-sensor solutions for wearables, hearables, and Industrial Internet of Things (IIoT). The collaboration aims to leverage the NASP platform to enable more customers to…
November 8, 2022
POLYN Technology, a fabless semiconductor company that provides Neuromorphic Analogue Signal Processing (NASP) Tiny AI chips, and Edge Impulse, an embedded machine-learning (ML) development platform, are partnering to address ultra-low-power on-sensor solutions.
October 28, 2022
With assets moving through areas with low connectivity for prolonged periods of time, performing more computation directly on device — is key.