A new doctoral thesis at Karlstad University provides increased understanding of how medicines can be analysed more reliably ...

AEGIS is a large-scale dataset and benchmark for detecting errors in Multi-Agent Systems (MAS). It provides systematically generated failure scenarios with verifiable ground-truth labels across ...

AI-powered tools are redefining sports performance analysis, injury prevention, and personalized training by integrating wearable sensors, computer vision, and predictive analytics. From elite sports ...

Foundational to the work on quantum error correction (QEC) are logical qubits, which are created by entangling multiple ...

A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.

Abstract: Railway intrusion detection is very important for maintaining the safety of railway operations. The detection method based on LiDAR point cloud is widely used in railway intrusion detection, ...

Understand how lockstep architecture improves fault detection, redundancy, and real-time reliability in safety-critical microcontroller systems. Explore the applications of lockstep processors in ...

Industrial robots are the core equipment in intelligent manufacturing. The accuracy of their posture detection directly determines their high-precision operational capabilities. It is necessary to ...

Massachusetts is among the worst states in the country in fraud detection, an expert says, as several public benefits fraud schemes have been uncovered recently by both federal and state investigators ...

We conducted a two-phase evaluation. First, we assessed LLMs (GPT o4-mini and Gemini 2.5 Pro) on 1,000 synthetic clinical hematology/oncology vignettes with ...