Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
Morning Overview on MSN
Researchers use symmetry to decode quantum noise
Quantum computers promise to solve problems that overwhelm classical machines, but their most stubborn obstacle is noise that ...
This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...
Morning Overview on MSN
Could hyperdrive explain strange cosmic signals?
Physicists have spent decades trying to explain puzzling radio bursts and other odd signals that seem to arrive from deep space with no obvious source. Some technologists now wonder whether the same ...
Opinion
Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI Research Methods ()
AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...
In the context of vocational English education, game-based teaching has emerged as a potential solution to address ...
Introduction Three-quarters of mental health problems start before the age of 25. However, young people are the least likely to receive mental healthcare. Some young people (such as those from ethnic ...
Objectives To alleviate the shortage of qualified physicians in rural areas, since 2010, the Chinese government has launched a National Compulsory Service Programme (NCSP) to enrol medical students ...
Despite advances, AI models continue to be geared towards the needs of English-speaking people in high-income countries.
Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.
Tech Xplore on MSN
Mind readers: How large language models encode theory-of-mind
Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.
In a new paper, Anthropic reveals that a model trained like Claude began acting “evil” after learning to hack its own tests.
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