Operational blind spots cost margins and elevate risks for manufacturers. We explore how teams can see these familiar challenges more clearly and solve them more efficiently.

Scientists usually use animal models when studying Parkinson's disease because these models mimic the disease well. They are ...

Scientists usually use animal models when studying Parkinson's disease because these models mimic the disease well.

Innovation can come from not just programmers but also ethicists, policymakers and AI users. It can also come from experts ...

Objective Hydroxychloroquine (HCQ) is a cornerstone therapy for SLE, reducing flares, organ damage and mortality. However, ...

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

Model-based testing (MBT), whereby a model of the system under test is analyzed to generate high-coverage test cases, has been used to test protocol implementations. A key barrier to the use of MBT is ...

Abstract: The abstract test cases generated through model-based testing (MBT) need to be concretized to make them executable on the software under test (SUT). Multiple re-searchers proposed different ...

In a major leap for cancer research and precision medicine, engineers at the University of California, Irvine have developed a three-dimensional human colon model integrated with bioelectronics. The ...

Background: Large language model (LLM)-based AI coaches show promise for personalized exercise and health interventions. However, the unique demands of ensuring safety and real-time, multimodal ...