Author: Abhishek Jadhav

Wireless power network provider, Energous Corporation, has revealed its association with Syntiant, to develop Energous’ WattUp wireless power network technology with Syntiant’s Neural Decision Processors (NDPs) for edge artificial intelligence deployments across a wide range of...

The Portenta Cat. M1/NB IoT GNSS Shield is Arduino's latest embedded electronic hardware product developed in partnership with aerospace, defense, transportation, and security multinational Thales. The hardware offers rich connectivity attributes of the Portenta H7 applications. The...

For smart home and automation applications, you might require a user button featuring advanced wireless connectivity like Wi-Fi and Bluetooth Low-Energy. In most cases, this wireless connectivity helps the operator connect the user button to its hardware system. Also, with the recent...

At CES 2022, Belgium fabless semiconductor company, E-peas, known for ultra-low-power and high-performance circuits in reducing energy consumption for IoT applications, announced a general-purpose microcontroller, EDMS105N. As the name suggests, EDMS stands for edge device...

Eben Upton, Founder and Chief Executive Officer of one of the very famous and successful embedded electronic hardware manufacturers, Raspberry Pi, has published news on January 17, 2022, aiming to beat the semiconductor chip shortage by introducing a dedicated Raspberry Pi store to...

Sipeed has surprisingly introduced yet another Tang Nano FPGA board based on the Gowin GW1NR-9 chip. This time, the manufacturer has pushed the limits to around 9K (8640) logic units (LUT4), unlike the predecessor Tang Nano 1K and Tang Nano 4K with around 1152 and 4608 LUTs respectively....

Recently, we covered PinePhone Pro Explorer Edition Linux-based Smartphone built around the Rockchip RK3399S highly integrated with 4GB LPDDR4 RAM and 128GB eMMC flash storage. Pine64 has captured the embedded system news due to the availability of the PinePhone Keyboard case and...

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...