Embedded - ->for u

Lucas VRTech has made his own finger-tracking VR haptic glove..

Difference Between An Arduino Board And A Single Microcontroller Chip 👉 The difference between an Arduino development board and a microcontroller chip is that the development board contains almost every essential part needed to start a project on the board itself. It has a microcontroller chip and ports for connection or extension. You can program the chip with inbuilt examples available on Arduino IDE (software) and observe the output right on the board, or by interfacing with external circuits. 👉 On the other hand, for a single microcontroller chip (such as Atmega328 microcontroller), you need a lot of things. First, you need to buy a separate programmer board to program the chip. For building a project or experimentation with the chip, you need a breadboard for circuit wiring/connections with other components, a DC power supply for the project, jumper wires, etc. 👉 You also need to search for program examples from various sources, books, and the Internet. To work with Arduino, you need to work with the Arduino software programming language.

Tesla seats factory..

Designing a small LED pinwheel with an ATtiny13..

A DIY portable Geiger counter for detecting radioactivity on the go..

A voice-controlled backpack loaded with cameras and AI processing power helps the visually impaired navigate their surroundings..

TinyCharger is an ATtiny25/45/85-based, single-cell Li-ion battery charger with selectable charging current limit (100mA - 1000mA) and an OLED display for monitoring..

50% USB key, 50% @adafruit Trinket, 100% awesome! The Neo Trinkey is a SAM D21 board with four RGB NeoPixels for a customizable glow..

Schrödinger's Plates: They are both broken and not broken until you open the door.

There are many other challenges that come with frequently changing data and models. These are as follows: 👉 We need to continuously monitor model performance and automate retraining of models when there is deterioration in performance. 👉 We need to develop processes to version models as well as data, and keep records of how each version of the model performed with each version of data. 👉 We need a mechanism to quickly deploy new models, and to integrate the model changes with the code of the applications using it. MLOps helps us solve these problems with ease. MLOps translates to ML + DevOps. DevOps is a set of software engineering practices that allows us to deploy newer versions of software with agility. We need to deploy ML models with agility. That’s where MLOps comes into the picture. It is a field that applies DevOps principles to ML systems.

The Magic of MLOps Pipelines Deeplearning.ai reports that only 22 per cent of the companies using machine learning for solving their problems are actually able to deploy the model. In traditional software engineering projects, only the code keeps changing with new requirements and the addition of functionalities. On the other hand, in machine learning (ML) projects, data also keeps changing along with the code. Distribution of data also changes with this. For example, let’s say we are building a machine learning model for predicting the total daily sales of an e-commerce platform. The distribution of data as well as predictions for non-sale days will be very different from that of sale days. Thus, our model needs to be re-trained for the new data so that it can predict total sales on non-sale days as well. Thus, we see that as data and code change, the model too needs to be changed.

CoppeliaSim: The Open Source Tool for Robotic Simulations Robots can work tirelessly in adverse conditions. Robotics and simulation are key elements in advanced manufacturing. Hazardous tasks can be simulated before actual implementation, thus avoiding injuries and loss of human life. https://www.opensourceforu.com/2021/03/coppeliasim-the-open-source-tool-for-robotic-simulations/

Engineers turn your movement and sweat into usable power with a wearable microgrid system..

Send and display messages on this remote ePaper panel..

Team SCAREcrow's system autonomously senses and scares away potential threats in the field, preventing wild animals from transmitting infection or disease to crops and livestock..

Interesting little battery pack. A lithium thionyl chloride battery with a supercapacitor to help it through tough times.

NASA - National Aeronautics and Space Administration made history with the successful landing of the Perseverance rover. The Perseverance rover is the biggest vehicle to ever land on another planet and will set out to explore a crater named Jezero to conduct a search for evidence of past life. Congratulations NASA on this incredible space achievement!

Create a smart weather station using @SeeedStudio 's Wio terminal with half-hourly weather forecasts powered by @TensorFlow Lite!

The Pinguino UNO is an Arduino Uno-like board based on a PIC18F2550..