The 'Overnight Joke' That Paralyzed Office PCsIn 2013, a strange phenomenon occurred in offices and computer labs around the ...

Researchers demonstrate that reinforcement learning cuts gate count when preparing 4-qubit states, achieving a significant ...

Researchers have developed an adaptive weighted cost-optimization approach that makes optimal task offloading decisions in ...

Researchers have built a deep reinforcement learning system called HE-FDDQN that personalizes college students' physical ...

Real-world optimization problems, such as rail scheduling, are challenging to solve, even approximately. Quantum computing offers a solution, but errors block the usefulness of today’s devices.

This project simulates one day of delivery operations for a fictional logistics company: multiple warehouses, multiple delivery agents, and a set of packages that each need to travel from a warehouse ...

The graphics industry is changing how GPUs produce images. Conventional rasterization, ray tracing, neural networks, and ...

Classical algorithms have successfully reproduced expectation values of observables for certain quantum circuits using off-the-shelf computing resources; however, matching the performance of the most ...

Learning in the brain is thought to emerge from local synaptic and circuit-level processes rather than from a globally designed blueprint. We formulate Self-Assembling Learning as the problem of how ...

Machine-learning models now inform scientific discovery, industrial decision-making, and public policy, yet their inner workings often remain opaque. Understanding which features drive a model’s ...

A collection of tools and algorithms for developing traditional roguelikes. Such as field-of-view, pathfinding, and a tile-based terminal emulator.

During the Autumn Term, my Academic Support Hours are 14:00 - 16:00 on Fridays. I will be in my office, Main Academic Building, Room 5B.534, or you can join via Zoom ...