This video delves into how computers store text as eight bits per character and examines why more efficient methods are not widely adopted. It also discusses techniques for compressing text into ...

Cohere's North Mini Code ranks 8th of 127 open-weight models on output speed — but generates 3x the output tokens of ...

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

Researchers led by Takaki Hatsui at the RIKEN SPring-8 Center (RSC) in Japan and collaborators have developed a new approach ...

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

A flaw in Hugging Face Transformers could allow malicious AI models to execute code, exposing credentials and highlighting AI ...

One of the most exciting challenges available to any software developer is that of writing brilliantly working code that’s so obtuse, so indecipherable, and opaque, that even its own author ...

Reddit demonstrates elite profitability, with 69% revenue growth, a 40% EBITDA margin, and a 47% free cash flow margin. Click ...

Abstract: The rapid generation and utilization of text data, driven by the proliferation of the Internet of Things (IoT) and large language models, has intensified the need for efficient lossless text ...

Abstract: Learned image compression approaches have shown great potential with promising results. However, according to the commonly used measurement methods, there still lies a performance gap ...