Differential Privacy in Machine Learning: from Symbolic AI to LLMs

Machine learning models should not reveal particular information that is not otherwise accessible. Differential privacy provides a formal framework to mitigate privacy risks by ensuring that the inclusion or exclusion of any single data point does not significantly alter the output of an algorith...

AI in Cybersecurity: What's Effective and What's Not – Insights from 200 Experts

Curious about the buzz around AI in cybersecurity? Wonder if it's just a shiny new toy in the tech world or a serious game changer? Let's unpack this together in a not-to-be-missed webinar that goes beyond the hype to explore the real impact of AI on cybersecurity. Join Ravid Circus , a seasoned...

MQTT vs AMQP

The Initial Overview: Learning about MQTT & AMQP In the dynamic arenas of Internet of Things IoT" and cloud computing, communication protocols that are robust, reliable and capable of handling high traffic volumes have become essential. The two protocols that have recently gained significant grou...

Web applications and Project Loom

Introduction Project Loom aims to bring "easy-to-use, high-throughput, lightweight concurrency" to the JRE. One feature introduced by Project Loom is virtual threads. In this blog post, we'll be exploring what virtual threads mean for web applications using some simple web applications deployed o...

GHSA-XW5J-GV2G-MJM2 Miscompilation in cortex-m-rt 0.7.1 and 0.7.2

Version 0.7.1 of the cortex-m-rt crate introduced a regression causing the stack to NOT be eight-byte aligned prior to calling main or any other specified entrypoint, violating the stack ABI of AAPCS32, the default ABI used by all Cortex-M targets. This regression is also present in version 0.7.2...

Miscompilation in cortex-m-rt 0.7.1 and 0.7.2

Version 0.7.1 of the cortex-m-rt crate introduced a regression causing the stack to NOT be eight-byte aligned prior to calling main or any other specified entrypoint, violating the stack ABI of AAPCS32, the default ABI used by all Cortex-M targets. This regression is also present in version 0.7.2...