When Actions Break Apart Reinforcement Learning

Reinforcement learning has shifted from quirky lab curiosities to tools that steer robots, optimize energy grids, and even suggest treatment strategies in hospitals. Yet the leap from a neat equation to a working system in the wild often stumbles on a stubborn obstacle: the space of possible actions can blow up into a combinatorial explosion….

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Words and Logic Converge in Computer Science Education

Highlight: The hardest CS courses can be made more human when we design the right vocabulary, not just better feedback. In computer science, students are often asked to translate messy, real‑world stories into tight, formal symbols. It sounds like a leap—from everyday speech to mathematical rigor—that hinges on one stubborn gap: the vocabulary. If you…

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Neutron Stars at the Edge of Spin and Energy

The universe keeps a few stubborn secrets in its pocket: the densest matter, the fastest spins, and the kind of energy that can light up entire galaxies for a moment in time. Neutron stars sit right at the crossroads of all three. They’re city-sized bundles of neutrons packed so tightly that a sugar-cube amount would…

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Edge AI Learns to Sense and Decide in Real Time

In a world racing toward smarter devices, the challenge isn’t just collecting data but turning it into quick, trustworthy decisions where they matter most. Imagine autonomous vehicles, delivery drones, or factory robots that must both feel their surroundings and decide what to do in the blink of an eye. A new study from a team…

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A New Way to See Quantum Echoes Without Orthogonality

Quantum excited states are the hidden chapters of nature’s story, the spectral fingerprints that light up when molecules vibrate, electrons hop, or spins flip. They’re essential to understanding chemistry, materials, and even how we design quantum devices. Yet for all the fuss around quantum computing and advanced simulations, predicting those excited states remains stubbornly hard….

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