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Putting aside its earlier permissive, innovation-fostering position on AI, the US government has pivoted hard toward building up a national ...
Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...
Abstract: This work presents a hybrid and hierarchical deep learning model for midterm load forecasting. The model combines exponential smoothing (ETS), advanced long short-term memory (LSTM), and ...
Abstract: Deep learning has seen dramatic improvements in remote-sensing image scene classification. However, hard categories and hard examples widely exist in the data sets, due to the intraclass ...
The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. Having such a lightweight implementation ...