Google researchers highlight potential threats posed by future quantum computers to cryptocurrency security, particularly elliptic curve cryptography. They propose a transition to post-quantum cryptography and advocate for responsible vulnerability disclosure to enhance security across blockchain networks and the broader digital economy.

StepSecurity has revealed that two malicious versions of the popular axios HTTP client library were published to npm. These versions inject a hidden dependency designed to deploy a remote access trojan across multiple operating systems. Users of affected versions are urged to assume their systems may be compromised.

Granite 4.0 3B Vision enhances document processing through advanced multimodal intelligence, excelling in tasks like table extraction, chart understanding, and semantic key-value pair extraction. Its modular design allows integration with both visual and text-only workflows, making it a versatile tool for enterprises navigating complex document layouts.

Technologists have long feared that AI coding agents would create new security vulnerabilities, and recent trends confirm this. Current advances in AI are enabling automated vulnerability research, drastically changing how exploits are developed. This shift presents new challenges and requires a reevaluation of information security practices.

NASA's Artemis II mission is set to send astronauts around the Moon, but concerns over the Orion capsule's heat shield have emerged after significant damage was reported during its previous flight. This article examines the issues, potential risks, and challenges NASA faces as it prepares for the upcoming mission.

Ollama has launched a preview version optimized for Apple Silicon using MLX, enhancing performance for coding agents and personal assistants. With improved caching and support for higher quality NVFP4 model quantization, users can expect faster responses and reduced memory usage on compatible Mac devices.

Between March 2025 and March 2026, ransomware groups made 7,655 claims on public leak sites, with notable activity from the top five groups. This article analyzes the trends in ransomware attacks, focusing on targeted sectors, geographic distribution, and how claim volume has shifted over time.

Exploring the implications of our expanding universe, this article delves into the complexities of quantum mechanics within de Sitter space. As physicists grapple with these challenges, insights from black holes may illuminate the difficult relationship between quantum theory and the vast cosmos.

A recent leak of Anthropic’s Claude Code source code has sparked discussion about its implications for AI ethics and security. The exposed code reveals features aimed at countering competition and hiding internal operations, raising questions about transparency and the potential for deliberate information exposure.

The rise of AI in software development raises questions about code quality, with many fearing an increase in poorly generated "slop." This article argues that economic incentives will ultimately favor good, maintainable code as AI tools become standard, demanding efficiency and simplicity in an increasingly complex coding landscape.

Lettermatic’s Monaspace project reimagines coding typography, offering five customizable typefaces designed for code editors. With over 6,000 unique glyphs and open-source accessibility, Monaspace enhances legibility and personalization for developers, showcasing the evolution of typography in a digital era that demands more than traditional monospace fonts can offer.

Cohere has launched Transcribe, an advanced open-source automatic speech recognition model. Designed for practical applications, it boasts top accuracy with a low word error rate and efficient performance. Transcribe is ready for enterprise use, supporting 14 languages and available for download or via API.

ASI-Evolve is a novel framework that explores how AI can enhance its own development through a cycle of learning, design, experimentation, and analysis. Initial results demonstrate its effectiveness in discovering state-of-the-art models, improving data curation, and optimizing reinforcement learning algorithms, paving the way for accelerated advancements in AI research.

ORACAL is a novel framework designed to enhance smart contract vulnerability detection using advanced graph learning techniques. By integrating heterogeneous graph models and causal reasoning, it improves detection accuracy and offers clearer explanations of vulnerabilities, making it more robust against adversarial threats and trustworthy for professional audits.

This article discusses a GPU-accelerated inference pipeline for transformer models, achieving significant speed improvements and reduced memory usage. Using hybrid precision techniques, it maintains high numerical accuracy and stability. The findings provide valuable insights for deploying transformer models in environments where real-time performance is crucial.