Creating physically realistic content in VR often requires complex modeling tools or predefined 3D models, textures, and animations, which present significant b...
Unmanned aerial vehicles (UAVs) are crucial tools for post-disaster search and rescue, facing challenges such as high information density, rapid changes in view...
Breadth-First Search (BFS) is a fundamental graph kernel that underpins a wide range of applications. While modern GPUs provide specialised Matrix-Multiply-Accu...
The self-attention mechanism has significantly advanced the field of natural language processing, facilitating the development of advanced language-learning mac...
Tokenization is the first step in training any Large Language Model (LLM), where the text is split into a sequence of tokens as per the model's fixed vocabulary...
Execution-based feedback like unit testing is widely used in the development of coding agents through test-time scaling (TTS) and reinforcement learning (RL). T...
Speculative decoding accelerates autoregressive language model inference by verifying multiple draft tokens in parallel. However, the verification stage often b...
In this paper, we explore the problem of automatic statute prediction where for a given case description, a subset of relevant statutes are to be predicted. Her...
Large language models have demonstrated extraordinary performance in many AI tasks but are expensive to use, even after training, due to their requirement of hi...
Article URL: https://github.com/ruvnet/wifi-densepose Comments URL: https://news.ycombinator.com/item?id=46388904 Points: 10 Comments: 1...
Large language models (LLMs) have emerged as a powerful foundation for intelligent reasoning and decision-making, demonstrating substantial impact across a wide...
We introduce conserved active information I^oplus, a symmetric extension of active information that quantifies net information gain/loss across the entire searc...
