In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
Abstract: This research aims to develop an accurate and efficient deep learning approach for forecasting Global Horizontal Irradiance (GHI) to facilitate better integration of solar energy into ...
Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
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 ...
According to GeminiApp on Twitter, Deep Research now enhances AI-powered learning by integrating dynamic visuals such as charts, diagrams, and animations. This feature allows users not only to read in ...
After detailing upcoming updates last week, the Gemini app has a new Deep Research capability that will let AI Ultra subscribers “visualize complex information instantly” with images and more. In ...
Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
Abstract: This paper proposes a model-based deep reinforcement learning (DRL) framework to maximize the total power output and minimize the fatigue load of a floating offshore wind farm subject to ...
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