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Automating Quadratic Unconstrained Binary Optimization (QUBO) Formulation Generation from Natural Language

arXiv:2609.10629v1 Announce Type: new Abstract: Quadratic Unconstrained Binary Optimization (QUBO) is a central formulation for combinatorial optimization and has gained increasing attention due to its compatibility with quantum, hybrid quantum-classical, and quantum-inspired solvers. However, translating natural-language problem descriptions into correct QUBO formulations remains difficult, requiring the identification of binary variables, constraints, objective functions, penalty terms,…

Probabilistic Focal Search: Accelerating Bounded-Suboptimal Search via Lower-Bound Advancement

arXiv:2609.10584v1 Announce Type: new Abstract: Bounded-suboptimal search seeks a solution within a factor $w$ of optimal while reducing search effort. Focal Search (FS) uses heuristic guidance within FOCAL, the frontier nodes eligible under the threshold $w f_{min}$, but its deterministic policy may leave $f_{min}$ unchanged for many expansions. We introduce Probabilistic Focal Search (PFS), which…

5 Python Techniques for Efficient Resource Orchestration

This article explains 5 Python techniques for efficient resource orchestration and sticks to what's stable today, 3.11 and later for the core techniques, with one 3.14-specific tool called out explicitly as requiring that version

From Spaghetti Code to Clean Python: A Beginner’s Guide

Learn how to refactor messy Python code into clean, maintainable functions.

Perplexity trusts GPT-6 Astra with end-to-end systems

Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.

Demystifying Anthropic’s J-Space: A Mathematical Primer

Clarifying the math behind Anthropic’s representation workspace The post Demystifying Anthropic's J-Space: A Mathematical Primer appeared first on Towards Data Science.

The 95% Illusion: Why Your Confidence Interval Isn’t What You Think It Is

Frequentist confidence intervals and Bayesian credible intervals answer different questions, and confusing them can distort product decisions The post The 95% Illusion: Why Your Confidence Interval Isn't What You Think It Is appeared first on Towards Data Science.

Software Design in the Age of AI

Why AI coding makes software design more important The post Software Design in the Age of AI appeared first on Towards Data Science.

Coding Agents Don’t Need Longer History — They Need Intent Continuity

I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where they came from. The post Coding Agents Don't Need Longer History — They Need Intent Continuity appeared first on Towards Data Science.

An Autonomous GeoAI Agent for Arctic Eco-Navigation

arXiv:2609.09374v1 Announce Type: new Abstract: Arctic maritime navigation is becoming increasingly important as changing sea-ice conditions expand seasonal accessibility while simultaneously introducing substantial operational, environmental, and community risks. Arctic route planning is inherently a multi-criteria problem: routes that improve vessel safety or efficiency may increase exposure to sea ice, sensitive ecosystems, or nearby communities. Existing…