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With the recent introduction of Large Language Models (LLMs), the field of Artificial Intelligence (AI) has significantly outshined. Though these ...
In natural language processing, the spotlight is shifting toward the untapped potential of small language models (SLMs). While their larger ...
Due to climate change, extreme weather, particularly heavy precipitation events, is expected to become more frequent. Many natural disasters, such ...
Reinforcement Learning (RL) is a subfield of Machine Learning in which an agent takes suitable actions to maximize its rewards. ...
In contemporary machine learning, foundation models, vast models pretrained on copious amounts of data and then modified for downstream tasks, ...
A key issue that has recently surfaced in Language Models is the high rate at which Language Models (LMs) provide ...
The problem of sparsity and degeneracy issues in LiDAR SLAM has been addressed by introducing Quatro++, a robust global registration ...
Researchers at Korea University have developed a new speech synthesizer called HierSpeech++. This research aims to create synthetic speech that ...
Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to ...
Researchers from Genentech introduced tumor dynamic neural-ODE (TDNODE) as a pharmacology-informed neural network for enhancing tumor dynamic modeling in oncology ...
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