Search Results for : AI

This is a low-cost DC-HV DC converter built using TL3843 Low-Power Current-Mode PWM Controller from TI. Screw terminal connectors are provided for input and output, onboard LED D1 indicates the input supply. The project provides 200V DC @ 20mA output from 12V DC supply...

The stereo audio amplifier project shown here is capable of delivering typically 40W per channel continuous average output power into an 8Ω load with less than 0.1% (THD+N). The project is built using an LM4766 chip from Texas Instruments, The performance of the LM4766, utilizing its...

The project presented here is a low-cost solution to control high-power brushed DC motor speed and direction. Traditional DC motor controllers are based on solid-state circuitry known as H-Bridge. Here we have made an H-bridge configuration using high current 2 x relays which can handle...

Adafruit feather boards have been successful in fulfilling the demands of the maker community. Yet another Adafruit ESP32-based TFT panel-mounted feather board with the support for CircuitPython or Arduino. Onboard IPS TFT color display gives you the flexibility to work on a 240 x 135...

Wi-Fi Alliance recently announced Certification 6 Release 2 offering new features for advanced Wi-Fi communication-based applications. The adoption of Wi-Fi Certification 6 gives credibility to the manufacturer and due to the increasing demand, the Wi-Fi Alliance looks for...

Six months since the release of the Geniatech DB10 AI development board for smart automation applications, the manufacturer has come up with an RK3568-based K3 intelligent development board with high performance and stability. More than a year after the launch of RK3568, it is...

Many of you might be familiar with the Eagle PCB software suite for electronic design automation. Similar open-source software was introduced about 3 decades ago, KiCad EDA has released a new version with “substantial improvements”. If you are an embedded electronic hacker, KiCad is...

The shift from offline training using labeled datasets in parallel computing to learn on-the-fly through neuron firing rules in Neuromorphic Computing has significantly aided the ever-increasing demand for artificial intelligence in a range of applications. Intel’s first-generation...