“Cryptojackers thrive in cloud environments where complexity obscures accountability and control, and our [R&D] investment in next-generation cloud protection and co-managed services is designed to ...

Set a robot loose in a kitchen or backyard and safety concerns emerge—especially if it is handling a sharp knife, boiling water, or using power tools around kids, pets, and bystanders. While slick ...

Data Product Agent Mesh makes the promise of Data Mesh practical by solving its operational complexity through intelligent ...

Let agents handle data management and operational complexity. ACM encourages its members to take a direct hand in shaping the ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

With improved model capabilities, Anthropic Opus 4.6 is an example, the same wave is now hitting science itself. If code is no longer the bottleneck—if generating, testing, and iterating on ...

An overview of the legal and regulatory background that governs AI and machine learning technologies and how it affects social perspectives and political opinions. ACM encourages its members to take a ...

The computing community has largely treated AI hallucinations as a model problem. The default path to reliability has been model improvement: better training data, larger context windows, retrieval ...

It is a grim reality that has driven schools to fortify entrances, install bulletproof glass, and implement AI-surveillance networks. Now, a new, forceful layer of technology is entering the American ...

Organizations increasingly are turning to LLM-based autonomous agents to detect and prevent threats to their networks. As cybersecurity threats grow, artificial intelligence (AI) is revealing itself ...