Computational complexity and proof systems are fundamental areas in theoretical computer science that explore the limits of what can be computed and how efficiently problems can be solved. Recent ...
Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...
Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...
Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...
Time. We use it to organize our lives, measure our experiences, and impose structure on reality. But what if time, as we conventionally understand it, doesn’t actually exist? What if, instead of being ...
In the ever-evolving landscape of artificial intelligence, there is a growing interest in leveraging insights from neuroscience to create more ...
Despite incredible progress, the capabilities of artificial intelligence are still limited when compared against real-world expectations. We build complex models, run neural networks, and test ...
In 1962, sci-fi writer Arthur C. Clarke famously said, "Any sufficiently advanced technology is indistinguishable from magic." That year, the Atlas computer—the fastest in the world at the ...
Taken together, these signals suggest one thing: we may be closer to AGI—and to systems capable of passing the Turing ...
The paper challenges the dominant “mirror metaphor” that defines digital human twins as faithful replicas of human behavior ...
Published in Acta Mechanica Sinica, this forward-looking study argues that embedding physical laws into AI models is ...
Computational complexity and proof systems constitute a cornerstone of theoretical computer science, addressing both the inherent difficulty of algorithmic problems and the efficiency of formal ...
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