Tag: Edge Impulse

The technology solutions company, Avnet, has released a new development kit called RASynBoard. This kit is specifically created to assist both hardware and software engineers in seamlessly incorporating edge artificial intelligence (AI) functions into their products, with the aim of...

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...

Edge Impulse, a company that specializes in machine learning, has recently made an announcement regarding a partnership with Seeed Studio. The purpose of this partnership is to add support for the Grove Vision AI Module to Edge Impulse Studio as well as the Edge Impulse software...

Edge Impulse has announced support for Arduino's compact Nicla Sense ME board targeted at Edge AI Motion and Environment projects -- a new standard for intelligent sensing solutions. The edge AI and tinyML expert promised to give full support for the device's newly integrated...

Norwegian embedded device manufacturer Nordic Semiconductor has announced the commercial availability of Nordic Thingy:53, a new addition to the Nordic Thingy family. This multisensor prototyping hardware platform features multiple onboard sensors and robust short-range wireless...

Two well-known edge AI solutions providers, BrainChip and Edge Impulse, have partnered to evolve an edge ecosystem that aims to accelerate AI/ML deployment in a variety of applications. The combination of BrainChip’s Akida technology with Edge Impulse’s platform will allow...

Recent breakthroughs in embedded machine learning have increased the demand for TinyML applications. In dealing with TinyML, there is an excellent platform to get started and build complex projects, Edge Impulse. We have also witnessed several new embedded devices coming to market...

Edge computing has many great advantages. When you take some resource-heavy work from servers and let your less capable but still slightly powerful microcontrollers, you end up freeing server resources. Also, depending on what you are doing, you can get away with not using a server at...