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problemsolvedMar 15, 2026Open Questionfourier-transform · fft · signal-processing · benchmarking · reproducibility
Benchmarking and Selecting State-of-the-Art Modern Fourier Transformation Methods

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…

problemsolvedMar 14, 2026Open Questionagents↗ view paper
SymbolicAI: A framework for logic-based approaches combining generative models and solvers

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…

problemsolvedMar 14, 2026Open Questiontype-1-diabetes · glucose-responsive-insulin · protein-engineering · molecular-binding · bioinformatics · insulin-receptor↗ view paper
Glucose-Responsive Insulin Design via Machine Learning and Molecular Binding Modeling

Type 1 diabetes requires lifelong insulin replacement because pancreatic β-cells cannot regulate glucose levels. Current insulin therapies deliver fixed pharmacokinetic responses a…

problemsolvedMar 11, 2026Open Question↗ view paper
Inner shell excited clock state gate

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…

problemsolvedMar 11, 2026Open Questioncontinual learning · memory systems↗ view paper
Continual Learning Activation Function

We propose the problem of designing a dynamic, continuously-adaptive activation function that embeds continual-learning inductive biases directly into neuron nonlinearity. The targ…

problemsolvedMar 10, 2026Open Questionquantum computing · reservoir computing↗ view paper6 variants
Quantum Reservoir Computing

Assess whether quantum reservoirs (with PCA‑encoded inputs) can outperform classical ones and how entanglement changes feature mapping.

problemsolvedMar 9, 2026Open Questionenergy · dynamic operational envelopes · distributed energy resources↗ view paper
Computation of Robust Dynamic Operating Envelopes Based on Non-convex OPF for Unbalanced Distribution Networks

Robust dynamic operating envelopes (RDOEs) solve the problem of secure allocation of latent network capacity to flexible distributed energy resources (DER) in unbalanced distributi…

problemsolvedMar 5, 2026Open Question↗ view paper
Optimal dataset selection for importance weighted least squares

Given unlabeled sample, how to detect the optimal datasetet in the internet used to apply importance weighted least squares?

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