We introduce dParallel, a simple and effective method that unlocks the inherent parallelism of dLLMs for fast sampling. We identify that the key bottleneck to parallel decoding arises from the ...

The Decoding Fintech Speaker Series invites influential leaders in the financial technologies sector to share their insights on this evolving industry with Kennesaw State University students. From ...

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.

A recent paper from Friedrich-Alexander University benchmarks energy consumption and compression efficiency for six video codecs across software and hardware decoders. While the study uses VP9 as a ...

The historian Daniel Immerwahr says that Trump’s embrace of imperialist adventuring is not just about business interests—it’s an appeal to masculinity which “seems to sell.” The Political Scene ...

Abstract: Short block-length polar-like codes showcase exceptional error correction performance (ECP) using sequential decoding or successive cancellation list ...

Recently, electroencephalogram (EEG) based on motor imagery (MI) have gained significant traction in brain-computer interface (BCI) technology, particularly for the rehabilitation of paralyzed ...