This project targets a key safeguards challenge: identifying covert fissile production pathways in nuclear fusion reactor settings using antineutrino observations. We will study wh…
This project investigates whether real-world lottery draws deviate from ideal uniform randomness due to physical implementation effects such as ball weight, wear, machine mechanics…
Fourier transformation remains a core primitive in scientific computing, signal processing, and ML systems, but practical performance and accuracy depend heavily on algorithm and h…
We introduce SymbolicAI, a versatile and modular framework employing a logic-based approach to concept learning and flow management in generative processes. SymbolicAI enables the…
Type 1 diabetes requires lifelong insulin replacement because pancreatic β-cells cannot regulate glucose levels. Current insulin therapies deliver fixed pharmacokinetic responses a…
Estimate achievable X-gate speeds and fidelities for a Yb-171 nuclear qubit using Raman transfer via a long-lived inner-shell J=2 intermediate (with 1 W/cm^2 available), limited by…
We propose the problem of designing a dynamic, continuously-adaptive activation function that embeds continual-learning inductive biases directly into neuron nonlinearity. The targ…
Assess whether quantum reservoirs (with PCA‑encoded inputs) can outperform classical ones and how entanglement changes feature mapping.
