In this work, we introduce a variable window size (VWS) spatial smoothing framework that enhances coarray-based direction of arrival (DOA) estimation for sparse...
While traditional handovers (THOs) have served as a backbone for mobile connectivity, they increasingly suffer from failures and delays, especially in dense dep...
A step-by-step guide from weather API ETL to dashboard on Databricks The post How to Build an AI-Powered Weather ETL Pipeline with Databricks and GPT-4o: From A...
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...
Wearable technology has evolved far beyond basic fitness trackers and step counters. Today, smart wearable devices are deeply integrated into healthcare, enterp...
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...
For the past year, enterprise decision-makers have faced a rigid architectural trade-off in voice AI: adopt a 'Native' speech-to-speech S2S model for speed and...
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...
