When that break occurs, the mathematics behind the code moves instantly. Organizations, however, do not move so fast.

Making cryptography ready for post-quantum migration will require architectural planning, testing discipline, and cross-organizational coordination. ACM encourages its members to take a direct hand in ...

The impact of agentic AI attacks cascades across an organization/enterprise’s dimensions through the intensification of challenges associated with confidentiality, integrity, and availability.

Today’s standard operating procedure for LLMs involves offline training, rigorous alignment testing, and deployment with frozen weights to ensure stability. Nick Bostrom, a leading AI philosopher and ...

Model collapse began as a theoretical concern but now shows up as observable degradation in tools that millions of practitioners use daily.

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

The conversational prowess of AI chatbots like ChatGPT, Gemini, and Claude appears to stem from sophisticated algorithms alone, but this apparent autonomy masks a critical dependency: after these AI ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

Apertus was released in early September 2025. It is a multilingual model developed by the Swiss Federal Institutes of Technology in Zurich (ETH) and Lausanne (EPFL). The model was pretrained with 60% ...

The world’s biggest technology superpowers—the U.S., the European Union (EU), and China—have each established their own distinct rulebooks to regulate artificial intelligence, creating a complex and ...

This post examines the evolution of robotic laboratories and outlines the key breakthroughs required to advance toward genuinely embodied scientific intelligence. The earliest defining milestone of ...