Abstract: The key intention of this work is to create an innovative path to implement IoT based device and its logical prototype. An open-source tool named as CircuitVerse is used to achieve the ...
Abstract: Many people can read and listen to English well but may need help to speak it well. This paper aims to implement an AI English-speaking interactive training (AIESIT) system based on AI for ...
In this tutorial, we work directly with Qwen3.5 models distilled with Claude-style reasoning and set up a Colab pipeline that lets us switch between a 27B GGUF variant and a lightweight 2B 4-bit ...
As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
Perception-based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to ...
We present ReconVLA, an implicit grounding paradigm for Vision-Language-Action models that reconstructs gaze regions to focus visual attention, achieving precise manipulation and strong generalization ...
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