This article examines recent data on compression efficiency and data usage for hardware and software decoding and explores how this data shapes the value proposition for publishers opting for software ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify ...

“Donald Trump ran for President promising vengeance,” the staff writer Eric Lach says. “The Adams situation is in some ways fascinating because it’s part of the demonstration of the flip ...

Abstract: The amplify-and-forward (AF) and the decode-and-forward (DF) cooperative coded diversity is compared with the conventional receiver coded diversity in terms ...

Require Zarr 3 for Zarr stores and remove support for Zarr 2 (breaking). Drop support for Python 3.10. Read PlaneProperty from STK UIC1Tag (#280). Allow 'None' as alias for COMPRESSION.NONE and ...

We are excited to present 'REEF: Representation Encoding Fingerprints for Large Language Models,' an efficient and robust approach designed to protect the intellectual property of open-source LLMs. In ...

Permutation decoding makes use of these symmetries to build up a decoding algorithm for the code. It is difficult to find an appropriate set of symmetries for a code picked at random. For cyclic codes ...