New Arduino Uno Q : Perfect for AI, Robotics and Beyond

Discover the Arduino Uno Q, a dual-processor development board perfect for IoT, robotics, and AI projects. Versatility meets power in a ...
DATAQUEST

How IIT online courses on SWAYAM are opening doors to free learning

Learn how free IIT courses on SWAYAM are breaking barriers, offering quality education, and helping students and professionals upskill with ease. UPSKILLING ...
TheServerSide

Create your first Python AWS Lambda function in minutes

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...
TechAnnouncer

Your Essential Python Programming for Beginners PDF Guide

Here’s a quick rundown of the process: Visit the official Python website. Navigate to the ‘Downloads’ section. Select your ...
IEEE

Dual Branch Multi-Level Semantic Learning for Few-Shot Segmentation

Abstract: Few-shot semantic segmentation aims to segment novel-class objects in a query image with only a few annotated examples in support images. Although progress has been made recently by ...
IEEE

SOSNet: Real-Time Small Object Segmentation via Hierarchical Decoding and Example Mining

Abstract: Real-time semantic segmentation plays an important role in auto vehicles. However, most real-time small object segmentation methods fail to obtain satisfactory performance on small objects, ...
GitHub

Improve example of pickle "Handling Stateful Objects"

In the example section "pickle — Python object serialization" / "Pickling Class Instances" / "Handling Stateful Objects", the TextReader class code is correct only if it will never be used as one of ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...