From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
Artificial Intelligence (AI) has significant potential to transform neurology by enhancing the diagnosis and treatment of brain diseases. Current tools use ...
Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...
Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...
This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...
Abstract: The booming development of deep learning applications and services heavily relies on large deep learning models and massive data in the cloud. However, cloud-based deep learning encounters ...
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