Abstract: This study comprehensively examines the ability to forecast the stability of smart grids using sophisticated deep learning and machine learning models. We investigate different approaches, ...

That’s why I looked into something simple and came across a command-line task manager. It strips productivity down to the essentials—using the command-line to get things done through text-based ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Explore Open Notebook and HyperbookLM with mind maps, slide decks, and web scraping, helping you turn raw files into clear ...

Abstract: Cutting-edge deep learning algorithms have improved image recognition. This study aims to balance real-time image identification speed and accuracy. Analysis of deep-learning architectures ...

When a blog post by Andrej Karpathy lands in your feed, you pay close attention, simply because few voices in the field of artificial intelligence carry as much conceptual weight. For those who don’t ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...

First 4D Radar Automatic Labelling tools using Segment Anything (SA) drivable area segmentation on camera using Deep Learning for Autonomous Vehicle. KAIST-Radar (K-Radar) (provided by 'AVELab') is a ...