Moonshot AI's new Kimi K2.6 swarms your complex tasks with 1,000 collaborating agents

Kimi K2.6's impressive new capabilities could redefine how developers approach complex, multi-step engineering workflows.

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, ...
eWeek

8 Best AI Certifications to Boost Your Career in 2026

Explore the top AI certifications to boost your career and validate your AI skills. Find the best programs in machine ...
IEEE

CLG-Tree: A New Index for Large-Scale Network kNN Queries

Abstract: The kNN (k Nearest Neighbor) query in road network environments is a critical issue in location-based services that has received a lot of attention in the industry. As real road networks ...
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 ├── ...
IEEE

Reconstruction of Contaminated Measurement Dataset Using Domain-Based Chebyshev Basis Function

Abstract: Outliers are usually unavoidable in measurement processes due to various factors and often compromise the robustness of data reconstruction. To address this issue, a novel moving domain ...