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Beyond Logarithms: Exploring the Quantum Realm of Polylogarithms

05.01.2026 by Ray Dalio

A new review delves into the mathematical properties of quantum polylogarithms, revealing their intricate connections to classical multiple polylogarithms.

Categories Science

Beyond RSA: New Math for a Post-Quantum Internet

05.01.2026 by Ray Dalio

Researchers are exploring alternatives to current encryption standards, and a new approach using rank-deficient matrices could offer a faster, more secure path forward.

Categories Science

Topology Under Pressure: How Disorder Impacts Robust Edge States

05.01.2026 by Ray Dalio

The study elucidates a model-the SSH model-governed by alternating hopping terms [latex]t_1[/latex] and [latex]t_2[/latex], alongside random corrections [latex]\tau_n[/latex] and on-site energies [latex]v_n[/latex], as described by tight-binding equations for local amplitudes [latex]\psi_n[/latex].

A new study reveals the surprising resilience of topological edge states in the Su-Schrieffer-Heeger model, even when faced with significant disorder.

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Revealing Intersections: A New Era for Private Set Intersection

05.01.2026 by Ray Dalio

The study demonstrates that proposed protocols exhibit varying runtime performance-measured in seconds-relative to the Mahdavi et al. protocol as the threshold parameter is adjusted, highlighting the impact of threshold selection on computational efficiency.

Researchers have developed more efficient and secure protocols for multi-party private set intersection, enabling identification of contributing parties while preserving data privacy.

Categories Science

Untangling Integrability: A Kagome Lattice Approach

05.01.2026 by Ray Dalio

New research explores the mathematical underpinnings of a solvable model on a Kagome lattice, revealing connections to quantum field theory and statistical mechanics.

Categories Science

The Repetition Curse: Overloading AI with Clever Prompts

04.01.2026 by Ray Dalio

Expert workload distribution reveals a nuanced performance characteristic: the system allocates token routing-measured as a percentage-differently between the RepetitionCurse model and a balanced baseline, suggesting variations in how each approaches computational demand and resource utilization.

New research reveals how carefully crafted, repetitive requests can cripple large language models by exploiting imbalances in their internal routing mechanisms.

Categories Science

Decoding the Twisted Path to Reliable Data

04.01.2026 by Ray Dalio

New algorithms significantly improve the efficiency of decoding complex error-correcting codes used in data storage and transmission.

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Building Better Codes: A New Algebraic Approach

04.01.2026 by Ray Dalio

Researchers have developed a novel method for constructing hierarchical quasi-cyclic codes, leveraging the strengths of Reed-Solomon and polynomial evaluation techniques.

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Beyond Accuracy: A Smarter Approach to Clinical Coding

04.01.2026 by Ray Dalio

A hybrid system architecture manages the complexities of clinical code assignment by employing a tiered approach-semantic reasoning with a language model [latex]BioMistral-7B[/latex] initially attempts structured output, gracefully degrading to deterministic keyword matching when parsing fails, and finally subjecting all candidate codes to rigorous validation against a knowledge base of 257 ICD-10 codes and contextual evidence, ensuring a continuous pipeline that both generates and verifies outputs while meticulously logging reasons for rejections.

A new multi-agent system, Hybrid-Code, combines the strengths of AI with robust data validation to deliver reliable and privacy-preserving diagnostic coding.

Categories Science

Pinpointing the Force Behind Quarks: A New Value for the Strong Coupling Constant

04.01.2026 by Ray Dalio

The CT25 NNLO fit demonstrates that uncertainties in [latex]\alpha_{s}(M_{Z})[/latex] are modulated by the credibility level applied to both global and dynamical tolerance criteria, with the dynamic tolerance error band computed across a dataset of 49 published results establishing a quantifiable range for this sensitivity.

A comprehensive global analysis of particle physics data yields a precise determination of αs, a fundamental parameter governing the strong nuclear force.

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