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: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

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 ...

Abstract: This letter introduces a joint metaheuristics and deep learning (DL) approach for beamforming (BF) in sixth-generation (6G) advanced antenna systems. Specifically, the bat algorithm (BA) is ...

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 ...