Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization studio built for multimodal time-series with full provenance you can replay “dFL ...

WebAssembly runtime introduces experimental async API and support for dynamic linking in WASIX, enabling much broader support ...

Google has announced LiteRT, the universal on-device AI framework, a significant milestone in a time when artificial intelligence is quickly shifting from cloud-based servers to consumers' own devices ...

osn-selenium is a robust wrapper around Selenium WebDriver designed for automation of Blink-based browsers (Chrome, Edge, Yandex). It extends standard Selenium capabilities by providing native ...

Abstract: Asynchronous circuits with low power and robustness are revived in emerging applications such as the Internet of Things (IoT) and neuromorphic chips, thanks to clock-less and event-driven ...

Cybersecurity researchers have disclosed details of a previously undocumented and feature-rich malware framework codenamed VoidLink that's specifically designed for long-term, stealthy access to Linux ...

Rush University System for Health and Amazon One Medical announced this morning they've inked a collaboration deal to deliver primary and specialty care in the Chicago area together. Partnering with ...

We welcome contributions to the extended content (Days 31-42)! Please see CONTRIBUTING.md for guidelines. For contributions to the original content (Days 1-30), please refer to the original repository ...

Python is one of the most popular programming languages in the world today, with millions of developers using it for web development, data science, machine learning, automation, and more. If you’ve ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...