In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...

Abstract: Partial discharge (PD) can characterize and affect the insulation performance of distribution transformers. However, PD signals have the problem of a single-mode sparse dictionary with a ...

Twitch star Kai Cenat is earning praise across the internet for openly documenting his reading journey, even filming himself looking up words he doesn’t know how to pronounce. Kai Cenat has been ...

ABSTRACT: To understand the impact of Generative Artificial Intelligence (GenAI) on the academic writing of English as a Foreign Language (EFL) students in higher education, more research is required ...

Visit NIC's Learn Center (https://learn.nicic.gov) and click the blue button that says "Go to the NIC Learn Center" In the left column, near the top, click the green button that says "Click Here to ...

Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...

Abstract: Sparse optoacoustic sensing (SOS) enhances tomographic imaging by enabling high frame rates and reducing system complexity through partial data acquisition. However, its performance depends ...

India's EdTech sector just made history. The Spoken Tutorial pedagogy developed by IIT Bombay has officially been recognised as a global IEEE standard -- a first for the country. Titled IEEE P2955, ...

Official implementation of SeerAttention and SeerAttention-R - a novel trainable sparse attention mechanism that learns intrinsic sparsity patterns directly from LLMs through self-distillation at post ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components at any given time, MoEs offer a novel approach to managing the trade-off ...