Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

The study also breaks down the full financial toll, revealing the hardest-hit countries and the most effective scam tactics ...

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...

Abstract: The paper carries out an in-depth investigation on the neural decoder design for protograph low-density parity-check (LDPC) codes. To be specific, based on the model-driven method, we ...

Check out this new 6G semantic communication framework from Engineering! It uses explicit semantic bases to fix the flaws of ...

NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and real-time decompression on GPUs, directly targeting the growing strain that ...

Abstract: Deep learning techniques have recently played a crucial role in medical image segmentation. However, convolution-based deep learning models are limited by their local receptive fields, ...