Abstract: We introduce an algorithm for approximating the codebook probability that is compatible with all successive cancellation (SC)-based decoding algorithms, including SC list (SCL) decoding.

Abstract: Large language models (LLMs) play a crucial role in intelligent code generation tasks. Most existing work focuses on pretraining or fine-tuning specialized code LLMs, e.g., CodeLlama.

School of Big Data, Zhuhai College of Science and Technology, Zhuhai, China ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal ...

In a big leap for genomics, Google on Wednesday unveiled a powerful AI model that predicts how single DNA mutations affect the complex machinery regulating gene activity. Named AlphaGenome, the tool ...

Generative artificial intelligence has entered a new frontier of fundamental biology: helping scientists to better understand proteins, the workhorses of living cells. Scientists have developed two ...

On https://www.unicode.org/versions/Unicode16.0.0/core-spec/chapter-3/#G28070, UTF-16 is not pointing at endian (there is no BOM and in the absence of higher-level ...

When we look at the world at the tiniest scales, things get very weird. Take a wild ride through the quantum world, from the discoveries that reveal its strange rules to the amazing technologies it ...

What if there was a way to sneak malicious instructions into Claude, Copilot, or other top-name AI chatbots and get confidential data out of them by using characters large language models can ...

Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China Guangdong ...