It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
The article presents Sketch2NeRF, a multi-view sketch-guided text-to-3D generation framework. Unlike previous text-to-3D approaches that lack fine-grained control, Sketch2NeRF utilizes sketches to offer such control. The method uses pretrained 2D…
Continue readingThis article focuses on the capabilities of transformer networks like ChatGPT and other Large Language Models (LLMs). These networks use an encoding vector to transform a complete input sequence, such…
Continue readingThis academic article discusses a study that seeks to extend the capabilities of large language models (LLMs) to non-English languages. The study proposes an innovative approach that uses the romanized…
Continue readingThis study introduces POUR-Net, a population-prior-aided over-under-representation network for generating high-quality attenuation maps from low-dose PET scans. The aim is to minimize radiation exposure in PET imaging, which is a…
Continue readingThe paper introduces a design for Acoustic Soft Tactile (AST) Skin aimed at improving the precision of 2-D tactile feature estimation. The design utilizes acoustic energy through dedicated channels beneath…
Continue readingThe article discusses the significant progress in Natural Language Processing (NLP), focusing on Large Language Models (LLM) and prompt engineering techniques. The authors discuss the use of reasoning topologies like…
Continue readingThe study introduces two frameworks, the Progressive Multi-task Anti-noise Learning (PMAL) and Progressive Multi-task Distilling (PMD), to tackle the intra-class variation issue in Fine-grained Vehicle Recognition (FGVR) caused by image…
Continue readingThis study investigates the lived experiences of people who have used large language model (LLM) chatbots for mental health support. It builds on interviews with 21 individuals from globally diverse…
Continue readingThe Genie method, proposed by researchers at IBM Israel Research Lab, Hebrew University of Jerusalem, and MIT, aims to generate high-quality, synthetic, content-grounded data. The method involves three stages: Content…
Continue readingThe study presents an experimental validation of an optimization technique for reservoir computing using an optoelectronic setup. The technique leverages a delayed version of the input signal to identify the…
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