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 path for storing far more data in the same physical space. A research team led ...

Check out this new 6G semantic communication framework from Engineering! It uses explicit semantic bases to fix the flaws of traditional methods, boasting dual-mode operation, adaptive knowledge base ...

A new study out this month from Stanford University researchers uses microelectrodes implanted in the motor cortex and generative AI to decode the intended and inner speech of four paralyzed patients.

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Abstract: Deforestation remains a critical global environmental concern, requiring effective monitoring approaches. This letter presents a novel attention-powered encoder–decoder neural network ...

Abstract: Accurately perceiving spatial distribution patterns, detecting dynamic evolution characteristics, and issuing early warnings set higher standards for indoor safety and protection efforts.

ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal quality, particularly in the field of neural control. ECoG enables more ...