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 ...

Yogi Nishanth’s journey from IIT Guwahati to founding Swik AI reflects a broader shift toward domain-specific intelligence ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the crucial debate about whether ...

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 ...

In an era when artificial intelligence increasingly permeates our daily lives, a new paradigm is due to emerge: hybrid intelligence. This concept represents the powerful synthesis of human cognition — ...

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 ...