To build the TerraMesh dataset that underpins TerraMind, IBM’s researchers compiled data on everything from biomes to land use, land cover types and regions, to ensure that the model can be used to ...

“predictive decoding”, etc.) to shave off more precious milliseconds. But the point stands: fast user-facing tasks are often best served by smaller models. Now, let’s look at the opposite extrem ...

Therefore, we propose an adaptive encoder–decoder framework with ... multihorizon forecasting constraint in the model training loss to constrain the input–output correspondence across different sample ...

By comparing current generative AI models that produce novel instances of images and text by distilling many prior examples into ... evolution acts as an "encoder"—an algorithm that learns ...

264/AVC encoder ... for the decoder, it follows that each neighboring block must have gone through transformation, quantization and their inverse. These operations add a considerable burden since they ...

Our model employs an encoder-decoder architecture with a novel streamlined iterative ... tampered region augmentation, intended to enhance sample diversity during the training phase. Extensive ...

The company says its new model, called DolphinGemma, will be made open source this summer. Researchers are also trying to ...