Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...
Hackaday

Python Comes To The Arduino Uno Q

MicroPython is a well-known and easy-to-use way to program microcontrollers in Python. If you’re using an Arduino Uno Q, ...
IEEE

Fine-tuning Generative Adversarial Networks Using Genetic Algorithm

Abstract: Generative Adversarial Networks (GANs) are a major innovation in the field of deep learning. It has been widely used in image generation and text-to-image conversion tasks. However, it is ...
The Financial Express

Harvard launches 6 free online courses in AI, web development and programming: Check details inside

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.
IEEE

Sentimental Analysis Using KNN and Opti-KNN

Abstract: Sentiment analysis is a foundational task in Natural Language Processing (NLP) that aims in extracting the sentiment expressed in a piece of text. In this work, we proposed a sentiment ...
GitHub

This project is a simple and practical face recognition-based attendance system built using Python, Flask, and OpenCV.

Face-Attendance/ │ ├── app.py # Main Flask application ├── utils.py # Face detection and capture functions ├── train_model.py # Model training (KNN) ├── attendance.csv # Attendance records ├── ...