Abstract: Wind power has emerged as a vital renewable energy source. However, its inherent temporal variability and non-stationarity pose significant challenges for accurate forecasting. To solve this ...

Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...

Encoder-Decoder An implementation of Encoder-Decoder architecture for sequence-to-sequence tasks such as machine translation, text summarization, and conversational modeling. This repository ...

If you want to play with the pretrained model inside colab for instance, start from this Colab Example for Denoiser. If you want to use denoiser live (for a Skype call for instance), you will need a ...

Scientists have developed a deep learning model that improves PV panel segmentation in remote sensing images, by combining ...

BAAI's Orca world model matches the performance of specialized systems across five robotics tasks, even though its base model was trained without a single action label. The approach could help solve ...

Small models are doing more than they should ...

Geekbench 7 is out now for Windows, macOS, Linux, Android, and iOS, and every Geekbench 6 CPU score you relied on for ...

Thinking Machines Lab Inkling launches as the largest US-built open-weight AI model — a 975-billion-parameter multimodal ...

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might look like in the encoding space ...

A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...