Add to ORKGWe propose Qurio, which is our new model of pedagogy incorporating the principles of quantum mechanics with a curiosity AI called Curio AI equipped with a meta-curiosity algorithm. Curio has a curiosity profile that is in a quantum superposition of every possible curiosity type. We describe the ethos and tenets of Qurio, which we claim can create an environment supporting neuroplasticity that cultivates curiosity powered by tools that exhibit their own curiosity. We give examples of how to incorporate non-locality, complementarity, and quantum lateral thinking into epistemology. We then futurecast the epistemology of curiosity and quantum pedagogy by way of curiosity’s event horizon
In recent years the dramatic progress in machine learning has begun to impact many areas of science ...
State of the art and motivations Learning is the process of acquiring, modifying, and recognising kn...
In 1994 the discovery by Peter Shor of an algorithm for factoring large numbers in polynomial time u...
We propose Qurio, which is our new model of pedagogy incorporating the principles of quantum mechani...
We propose a quantum curiosity algorithm as a means to implement quantum thinking into AI, and we il...
Despite the great promises and potential of quantum computing, the full range of possibilities and p...
Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technolog...
How useful can machine learning be in a quantum laboratory? Here we raise the question of the potent...
In this research, we present a categorical framework to connect research on creativity and cognitio...
The quest to understand the fundamental constituents of the universe is at the heart of particle phy...
This paper presents a comprehensive survey of Quantum Multi-Agent Reinforcement Learning (QMARL), a ...
Educating K12 students and general public in quantum physics represents an evitable must no longer s...
Nowadays machine learning plays an increasing role in everyday life. What can be the role of machine...
Educating K12 students and general public in quantum physics represents an evitable must no longer s...
[EN] In a world in which accessible information grows exponentially, the selection of the appropriat...
In recent years the dramatic progress in machine learning has begun to impact many areas of science ...
State of the art and motivations Learning is the process of acquiring, modifying, and recognising kn...
In 1994 the discovery by Peter Shor of an algorithm for factoring large numbers in polynomial time u...
We propose Qurio, which is our new model of pedagogy incorporating the principles of quantum mechani...
We propose a quantum curiosity algorithm as a means to implement quantum thinking into AI, and we il...
Despite the great promises and potential of quantum computing, the full range of possibilities and p...
Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technolog...
How useful can machine learning be in a quantum laboratory? Here we raise the question of the potent...
In this research, we present a categorical framework to connect research on creativity and cognitio...
The quest to understand the fundamental constituents of the universe is at the heart of particle phy...
This paper presents a comprehensive survey of Quantum Multi-Agent Reinforcement Learning (QMARL), a ...
Educating K12 students and general public in quantum physics represents an evitable must no longer s...
Nowadays machine learning plays an increasing role in everyday life. What can be the role of machine...
Educating K12 students and general public in quantum physics represents an evitable must no longer s...
[EN] In a world in which accessible information grows exponentially, the selection of the appropriat...
In recent years the dramatic progress in machine learning has begun to impact many areas of science ...
State of the art and motivations Learning is the process of acquiring, modifying, and recognising kn...
In 1994 the discovery by Peter Shor of an algorithm for factoring large numbers in polynomial time u...