Digital technologies bring the science of learning to a critical crossroad. With a lack of high-quality, evidence-based data ...
Human-machine understanding (HMU) represents the next frontier in human-centric technology. By integrating insights from human behavioural data, cognitive science and psychology with artificial ...
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
As educators we've all experienced the rise of new technologies along with the process of sorting out how each one may impact our work and our lives. Is the coming of AI any different? If so, how can ...
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
In our rush to understand and relate to AI, we have fallen into a seductive trap: Attributing human characteristics to these robust but fundamentally non-human systems. This anthropomorphizing of AI ...
Tal Sharf (right, senior author), Tjiste van der Molen (middle, postdoctoral researcher), and Greg Kaurala (left, staff researcher). Humans have long wondered when and how we begin to form thoughts.
This article explores how single-cell multiomics and spatial transcriptomics are illuminating early pregnancy, uncovering ...
“Do you understand?” It’s one of the most common questions asked in schools, tutoring sessions, and even at the kitchen table. It sounds helpful, teacher-like, and open-ended. But it’s also incredibly ...
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