Researchers have devised a method that allows large language models (LLMs) to strip anonymity from pseudonymous online accounts at scale for as little as $1.41 per target, using commercially available ...

SAN FRANCISCO, CA - January 29, 2026 - PRESSADVANTAGE - Soraban, the intelligent tax workflow and automation platform ...

STMicroelectronics’ STSPIN9P series of 75V motor-drive ICs accelerates development of robust industrial drives. Suited to operation from popular bus voltages such as 48V, the 12 STSPIN9P devices let ...

Lifebit’s AI-Automated Airlock enables secure, compliant results data exports, now available for rapid procurement via ...

Spotify is changing how its APIs work in Developer Mode, its layer that lets developers test their third-party applications using the audio platform’s APIs. The changes include a mandatory premium ...

It’s been clear for a while that Google is working to let Gemini control your Android phone, and we now have some details on how this “screen automation” will work. About APK Insight: In this “APK ...

A JavaScript sandbox bug rated CVSS 9.9 enables attackers to bypass AST‑based protections, while a Python execution bypass affects internal‑mode deployments common in enterprise setups. Two critical ...

Abstract: As REST APIs have become widespread in modern web services, comprehensive testing of these APIs is increasingly crucial. Because of the vast search space of operations, parameters, and ...

Advertisers can now compare two sets of assets while keeping “common assets” consistent across both versions. Tests can be set up from the Experiments page under the Assets sub-menu, allowing ...

Mohana Ravindranath is a freelance health, science, and tech journalist and a 2025 Association for Health Care Journalists fellow. She was previously a Bay Area health tech correspondent for STAT.

Sibasis Padhi is a Staff Software Engineer at Walmart and an expert in fintech microservices, cloud performance, and agentic AI. Modern cloud systems depend heavily on automation. However, having ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...