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 ...

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 ...

During the Covid pandemic in mid-2021, when people had been social distancing for more than a year and most university classes were being conducted over Zoom, Jeremy Bailensen decided to hold his ...

Lectures have dominated classrooms for centuries, but they are typically linear in format and can leave students passive and disconnected. This blog posits how to use AI to transform a ...

AI can find sources and background information in seconds. It can comb through obscure records and vast databases, uncovering patterns that might have previously eluded journalists. “Over the past ...

How agentic AI forced me to rethink everything from ETL to governance. ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get ...

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 ...

Leveraging ML models to directly learn network flow configurations from empirical data can deliver robustly high performance, surpassing that of demand-prediction methods. To gain a deeper theoretical ...