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

A fully autonomous landing by a CH-47F Chinook highlights the Army’s push to reduce pilot workload while improving precision.

Note that in Windows, this project requires Visual C++ 14.0 as it requires bitarray module which needs C source codes compilation. Finally, as the length of the bit sequence might not be a multiple of ...

Abstract: Referring image segmentation aims to segment the referent with natural linguistic expressions. Due to the distinct modality properties of the image and language, it is challenging to ...

For years, scientists have studied how the brain controls movement by asking patients to perform structured tasks while connected to multiple sensors in a lab. While these studies have provided ...

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was elegant; the reality proved far more complex. Within a device, molecules ...

Facepalm: Users experiencing issues with certain videos not playing on Dell or HP laptops running recent CPUs might not realize that both companies have recently disabled H.265 video encoding and ...

[Note this is an in-progress specification to be used in an upcoming format.] The decoder supports adaptive binary and multi-symbol models, as well as specialized encoding schemes like truncated ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...