Ethics is often neglected in engineering education, two researchers write, despite mounting questions about how to responsibly design artificial intelligence programs.
Microsoft Copilot can summarise meetings and even formulate arguments. But as good as that sounds, we shouldn’t blindly trust its accuracy.
How do all the different pieces of digital technology you use every day – weather apps, online banking, games and so on – talk to each other? Via application programming interfaces, or APIs.
A digital twin is to a computer model as live video is to a still photo. These virtual replicas can be used to understand and make predictions about a wide range of complex systems, including people.
The ability to store information is central to learning and the field of artificial intelligence. Researchers have shown how a unique material shows basic learning properties similar to that of slugs.
Undergraduate programs are springing up across the US to meet the burgeoning demand for workers trained in big data. Yet many of the programs lack training in the ethical use of data science.
Computational modeling can predict language therapy response in bilingual people with aphasia. In the future, this could help clinicians identify the best language for treatment.
AI algorithms can solve hard problems and learn incredible tasks, but they can't explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.
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