This article describes a practical approach for finding “software twins,” noncritical proxy systems that mirror critical artificial intelligence-enabled systems and can be safely abused during testing, even when proprietary source code cannot be accessed for direct comparison.

Large language models are capable of solving complex math problems or answering difficult questions on almost any topic, but can they generate random street addresses for European cities?

Innovation is the most effective cost strategy across industries. Traditional restructuring reduces competitiveness, while disciplined innovation boosts competitiveness. Our 2026 industry survey provides insights with hands-on examples across sectors.

There has been extensive debate on how to summarize performance results, especially within the computer architecture community. This article presents a systematic approach to choosing the correct mean, aiming to answer this question for all computer scientists once and for all.

This paper summarizes the opportunities of in-network collective operations for accelerated collective operations in artificial intelligence (AI) workloads. We provide sufficient detail to make this important field accessible to nonexperts in AI or networking, fostering a connection between these communities.

Smart sensors and AI are transforming healthcare by enabling precise diagnostics, continuous monitoring, personalized treatments, and minimally invasive procedures. These advances enhance patient outcomes, reduce risks, and improve accessibility. Using cardiac care as an example, we highlight emerging innovations driving the rapid evolution toward Medicine 3.0.

This article reflects on the concept and historical evidence of “uberveillance” nearly two decades after its coining, tracing the evolution from smartphones and wearables to implantables, brain–computer interfaces, and artificial intelligence-enabled monitoring.