Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
When absences accumulate, teachers can implement specific strategies so that all students complete necessary work.
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
News of artificial intelligence (AI) developments in new domains fills headlines every day. AI, created by humans to enhance convenience and productivity, now discusses political, social, and ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
When educators panic about artificial intelligence in the classroom, they often fall back on a familiar definition of learning: a change in long-term memory. It sounds scientific. It gives the ...
Abstract: In this paper, we propose the Self-Attention-based Masked Spectrogram Generation (SAMSG) method to address the problem of model overfitting and improve generalization performance in speech ...
In the context of mass higher education, Chinese application-oriented undergraduate institutions face significant teaching challenges stemming from the increasingly diverse student population. This ...
When kids tinker in the classroom, they get to build many useful skills from computing to collaboration to creativity and more. Krithik Ranjan, PhD student and member of the ACME Lab, studies low-cost ...
Interdisciplinary thematic learning, driven by thematic tasks and real-world problems, is an effective vehicle for cultivating students' problem-solving skills and individual development. However, ...
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