AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A logical measurement reads out protected information; the noise it survives sets how much noise a quantum computation can absorb. Gauging builds such a measurement from an auxiliary graph, one auxiliary qubit per edge, turning a global operator into local parity checks. Its tolerance splits in two: the distance of the...
Deep learning has made significant advancements in medical data analysis, which has made it possible to advance the diagnostics process, prognostication, and therapeutic care through new methods. However, the usability of artificial neural networks in common clinical practice is still hindered by their excessive comput...
Bruhat–Tits buildings are the canonical combinatorial-geometric objects attached to reductive groups over non-Archimedean local fields, and the recent QNFO constructions of p-adic braid groups [12], p-adic anyon models [13], and a p-adic Temperley–Lieb parameter [14] anchor their discrete braiding data at the *vertex s...
The Visibility Problem Hypershape Shadow Hypothesis II Chloe J. Tully https://orcid.org/0009-0007-5661-7332 HSH Paper 1 https://doi.org/10.5281/zenodo.23010822 Project UAP Studies v0.1 3 October 2026 Preprint. Not peer-reviewed. Companion to HSH I (28 September 2026). Tier-2 material is not in this paper. DISCIPLINE HS...
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The Visibility Problem Hypershape Shadow Hypothesis II Chloe J. Tully https://orcid.org/0009-0007-5661-7332 HSH Paper 1 https://doi.org/10.5281/zenodo.23010822 Project UAP Studies v0.1 3 October 2026 Preprint. Not peer-reviewed. Companion to HSH I (28 September 2026). Tier-2 material is not in this paper. DISCIPLINE HS...
This monograph is the third volume of "Algorithmic Non-commutative Class Field Theory". It studies spectral, dynamical and arithmetic structures on finite quotients of Ã₂ (and, where possible, Ã_d) buildings, in particular on the complexes X₃, Y₂₁, …, Y₁₆₈ of Volumes I–II and on the canonical 2-tower of Cartwright–Steg...
This monograph is the third volume of "Algorithmic Non-commutative Class Field Theory". It studies spectral, dynamical and arithmetic structures on finite quotients of Ã₂ (and, where possible, Ã_d) buildings, in particular on the complexes X₃, Y₂₁, …, Y₁₆₈ of Volumes I–II and on the canonical 2-tower of Cartwright–Steg...
Lacan wrote that a signifier represents the subject for another signifier — S1 → S2 — and the subject is often pictured as a loop between S1 and S2. Read as a labelling of a closed chain, that picture has a flaw two crayons can expose: around a chain with an odd number of links, two colours cannot alternate. This note...
The bulk-boundary correspondence asserts that topological data of a (2+1)-dimensional phase determine the physics of its boundary, but in the setting of anyon condensation the correspondence is usually stated structurally rather than quantitatively. We propose a set of computable indices that quantify the correspondenc...
Photonic spiking neural networks (PSNNs) leverage inherently discrete and event‐driven operations, thereby serving as a promising architecture for optical digital logic. However, limited physical degrees of freedom in current schemes often lead to non‐standardized encoding methods, thereby preventing the realization...
Bruhat–Tits buildings are the canonical combinatorial-geometric objects attached to reductive groups over non-Archimedean local fields, and the recent QNFO constructions of p-adic braid groups [12], p-adic anyon models [13], and a p-adic Temperley–Lieb parameter [14] anchor their discrete braiding data at the *vertex s...
Executive Abstract (English) Unmanned commercial facilities (e.g., 24-hour laundromats, automated storage units, and self-service currency exchange kiosks) suffer from an acute systemic vulnerability: conventional passive video surveillance (CCTV) records crime retroactively but fails to prevent active financial or phy...
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
A Blog post by Liquid AI on Hugging Face
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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