Ten theories explore how some "evidence of aliens" could explain the universe's eerie silence and strange sightings. The post ...

OminiA-0.3, a unified AI model for humanoid robots. The model enables real-time omni-modal interaction, reasoning, dialogue, ...

A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...

Two faint objects hiding in archival infrared sky maps now sit at the center of a growing scientific argument about whether a massive, unseen planet orbits far beyond Neptune. Researchers mining data ...

Understand key technical concepts of AI systems and their implications for human rights, including lifecycle, autonomy, transparency and explainability.

Google has been introducing many products around its AI Gemini. One such product is the Google AI Studio—a powerful platform designed for developers, data scientists, and other AI enthusiasts who want ...

NeurIPS Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang, Jianwen Xie, et al. Paper/Code arXiv08 Unifying Global-Local Representations in ...

Here, we propose an improved YOLOX-Tiny network, named YOLO-Tobacco, for the detection of tobacco brown spot disease under open-field scenarios. Aiming to excavate valuable disease features and ...

The ability to perceive visual objects with various types of transformations, such as rotation, translation, and scaling, is crucial for consistent object recognition. In machine learning, invariant ...

Abstract: Recent one-stage object detectors follow a per-pixel prediction approach that predicts both the object category scores and boundary positions from every single grid location. However, the ...