We thank the members of the Lin lab for discussion and Lu Chen for experimental help. We thank the Center for Quantitative Biology at Peking University and the flow cytometry core at the National ...

This system processes FIX (Financial Information eXchange) protocol log files and converts them into analytics-ready Apache Parquet. It is written entirely in Rust and exposed to Python as a native ...

Abstract: Long-term electrocardiogram (ECG) signal monitoring necessitates a large amount of memory space for storage, which affects the transmission channel efficiency during real-time data transfer.

Google has announced the release of Veo 3.1 Lite, a new model tier within its generative video portfolio designed to address the primary bottleneck for production-scale deployments: pricing. While the ...

Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the token volume of standard chats — threatening their ...

TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

ESET researchers provide details on a previously undisclosed China-aligned APT group that we track as PlushDaemon and one of its cyberespionage operations: the supply-chain compromise in 2023 of VPN ...

As sequencing becomes more accessible, there is an acute need for novel compression methods to efficiently store sequencing files. Omics analytics can leverage sequencing technologies to enhance ...

In this work, we propose a novel view that treats inducing temporal action abstractions as a sequence compression problem. To do so, we bring a subtle but critical component of LLM training pipelines ...

In this article on Mamba, we’ll explore how this innovative state-space model (SSM) revolutionizes sequence modeling. Developed by Albert Gu and Tri Dao, Mamba is distinguished for its efficiency in ...