Microsoft is set to eliminate all C/C++ code by the end of the decade, transitioning to Rust. This effort, led by Galen Hunt, combines AI and algorithms to modernize the company's largest codebases. Microsoft is actively seeking engineers with Rust experience to support this ambitious initiative.

The lotusbail npm package, designed as a WhatsApp Web API library, conceals sophisticated malware that steals user credentials and messages. Despite its legitimate appearance, it creates backdoor access to WhatsApp accounts, highlighting the need for enhanced security measures against refined supply chain attacks.

In this article, the author shares their unexpected journey of replacing a sophisticated video streaming pipeline with simple JPEG screenshots. Faced with the demands of enterprise networks, they explore the challenges of maintaining low-latency streaming and ultimately find that sometimes, old technology can work just as well, if not better.

Current laptops are largely unprepared for running large language models locally due to limited hardware capabilities. However, advancements like neural processing units (NPUs) and enhanced memory are driving a redesign of laptops, enabling better AI performance while addressing privacy and efficiency concerns.

AI is transforming formal verification by enhancing software specification and proof writing. While the potential is promising, challenges remain, such as the lack of formal specifications and the complexity of proof engineering. This article explores the benefits and potential pitfalls of AI-assisted verification in software development.

A rare 1970s Fourth Edition Research Unix magnetic tape was recently discovered and restored, revealing source code previously thought lost. This piece of computer history sheds light on Unix's development, signaling key innovations that preceded later editions. The findings enhance our understanding of Unix's evolution and composition.

Pantograph is pioneering a "preschool for robots" to address data scarcity in robotics. By developing small, durable robots capable of unsupervised learning and exploration, they aim to gather crucial real-world data that enhances robotic capabilities, all while ensuring affordability and accessibility in technology development.

This study analyzes challenges faced by practitioners in distributed deep learning systems, exploring 849 real-world bugs from frameworks like DeepSpeed and Megatron-LM. It identifies 34 bug symptoms and offers actionable insights on resolving issues through dependency management and system tuning, highlighting the unique complexities of distributed contexts.

This article explores a new approach to hybrid quantum-classical learning, emphasizing a mid fusion model that integrates quantum feature maps with classical neural networks using cross attention mechanisms. The proposed method demonstrates improved performance on complex datasets compared to traditional models, highlighting effective multimodal integration.

This article explores the use of reinforcement learning to enhance content moderation with large language models. It evaluates various training methods and highlights how RL improves accuracy in challenging scenarios, offering insights into effective strategies for real-world applications in digital environments with limited expert data.

SPIDER is an innovative framework for retargeting human actions to various robot forms, including dexterous hands and humanoids. It offers a flexible pipeline compatible with multiple simulators and facilitates seamless integration for reinforcement learning, making it adaptable for diverse robotic applications.

FlashPortrait is a new video diffusion transformer designed to create infinite-length, identity-preserving portrait animations at a speed six times faster than existing methods. By optimizing facial feature alignment and leveraging advanced latent prediction techniques, it enhances both efficiency and quality in generating seamless animations.

Soprano is an open-source text-to-speech model that delivers real-time, high-quality audio synthesis with impressive efficiency. With seamless streaming and a compact design, it generates audio quickly while using minimal resources. Future enhancements are planned to improve its capabilities and user experience.

The Universal Reddit Scraper Suite is a comprehensive tool designed for scraping Reddit posts and comments without the need for API keys. It features a user-friendly dashboard, REST API, and supports scheduled scraping and plugins for data analysis, ensuring flexible and efficient data handling for users and researchers.

ExecuTorch offers a streamlined approach for deploying AI models directly on devices, ensuring privacy and efficiency. Built on PyTorch, it enables seamless model export and execution across diverse platforms, from smartphones to microcontrollers, without the need for complex conversions or additional formats.