Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

The widespread adoption of open-source and enterprise software has accelerated development velocity but also expanded the attack surface. Among the most pressing concerns is the unintentional exposure ...

The La Marzocco coffee maker has long been a sought-after classic. But used machines are now even more coveted by cafe owners and collectors. La Marzocco espresso machines have become a status symbol ...

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

Anthropic PBC is rushing to address the inadvertent release of internal source code behind Claude Code, an AI-powered assistant that has become a key moneymaker for the company. Thousands of copies of ...

Anthropic accidentally leaked part of the internal source code for its coding assistant Claude Code, according to a spokesperson. The leak could help give software developers, and Anthropic's ...

Cisco has suffered a cyberattack after threat actors used stolen credentials from the recent Trivy supply chain attack to breach its internal development environment and steal source code belonging to ...

VentureBeat made with Google Gemini 3.1 Pro Image Anthropic appears to have accidentally revealed the inner workings of one of its most popular and lucrative AI products, the agentic AI harness Claude ...

Add Decrypt as your preferred source to see more of our stories on Google. Anthropic accidentally exposed 512,000 lines of Claude Code via a source map leak. DMCA takedowns failed as mirrors and clean ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Abstract: Correctly implementing cryptographic security in software is challenging due to its complexity. This paper introduces a machine learning framework using Abstract Syntax Trees (ASTs) to ...