News

IBM’s open-source TerraMind AI uses 9 data modalities to transform Earth observation
To build the TerraMesh dataset that underpins TerraMind, IBM’s researchers compiled data on everything from biomes to land ...
IEEE6d
A novel encoder-decoder model for short-term multistep wind power prediction
To solve this problem, this study proposes a novel multi-step wind power forecasting model based on an encoder-decoder architecture. It incorporates a multi-frequency attention mechanism into a ...
IEEE26d
Improved Encoder-Decoder Architecture With Human-Like Perception Attention for Monaural Speech Enhancement
In this paper, a high-efficiency encoder-decoder structure ... Finally, the decoder reconstructs the denoised clean signal. Experiments show that the proposed method effectively reduces model ...
marktechpost16d
Meta AI Released the Perception Language Model (PLM): An Open and Reproducible Vision-Language Model to Tackle Challenging Visual Recognition Tasks
Benchmark performance may reflect the training data and black-box model capabilities more than architectural or methodological ... The PLM framework integrates a vision encoder (Perception Encoder) ...
the-decoder15d
Researchers introduce COLORBENCH to test color understanding in vision-language models
The researchers observed that model performance correlated more strongly with the size of the language model than with the vision encoder. Most vision encoders remain relatively small—typically around ...
Techzine Europe12d
ESA and IBM join forces for AI Earth observation
IBM is collaborating with the European Space Agency (ESA) to develop an AI system that uses satellite data to monitor climate ...