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2,417 papers
This study addresses the challenge of autonomous landing of unmanned aerial vehicles (UAVs) in unknown environments by proposing a vision-based system that utilizes a single RGB-D camera. The core of our approach integrates an enhanced real-time semantic segmentation model based on the DDRNet architecture, incorporatin...
Python code and results accompanying the paper "Operator Choice and Echo Artefacts in Fuzzy Graph Cellular Automata for Cascade Spreading on Networks". The code implements a fuzzy graph cellular automaton: nodes of a graph with fuzzy edge memberships carry states in [0, 1] and update synchronously by combining neighbou...
Python code and results accompanying the paper "Operator Choice and Echo Artefacts in Fuzzy Graph Cellular Automata for Cascade Spreading on Networks". The code implements a fuzzy graph cellular automaton: nodes of a graph with fuzzy edge memberships carry states in [0, 1] and update synchronously by combining neighbou...
Rank Access and Closure Depth in the Relation-Layer Cohomology of Token Arenas A refuted conjecture, a refuted mechanism, and two species of invariant harmonic residue Driven by Dean Kulik October 2026 Abstract A Kdisj-type relation layer over a token arena assigns cohomology to a graph by declaring which closed loops...
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A C₄-Free Classification of Square Relations on Token Graphs with girth, tree and discretization witnesses Driven by Dean A. Kulik October 2026 Abstract Let FK(X) denote the K-token graph of a finite simple graph X: vertices are the K-subsets of V(X), adjacent when their symmetric difference is an edge. Two families of...
We give exact results for several observables of Kerr black holes that have so far been computed numerically, by fits, or only at isolated parameter values. (i) The area of the shadow seen by an equatorial observer, for every spin, in complete elliptic integrals, together with its small-spin series and its near-extrema...
This study addresses the challenge of autonomous landing of unmanned aerial vehicles (UAVs) in unknown environments by proposing a vision-based system that utilizes a single RGB-D camera. The core of our approach integrates an enhanced real-time semantic segmentation model based on the DDRNet architecture, incorporatin...
This study addresses the challenge of autonomous landing of unmanned aerial vehicles (UAVs) in unknown environments by proposing a vision-based system that utilizes a single RGB-D camera. The core of our approach integrates an enhanced real-time semantic segmentation model based on the DDRNet architecture, incorporatin...
Propofol anesthesia disrupts functional connectivity, but the magnitude of whole-brain architectural reorganization has not been calibrated against the variability of repeated measurement within a single state, and it is therefore unclear how much apparent reorganization reflects state change rather than estimation noi...
Readers Are Functionals- Representation Control of the Relation Layer on Token Arenas a multiplicity table, a faithful-reader certificate, and an isotypic correction to the rank budget Driven by Dean A. Kulik October 2026 Abstract Attaching 2-cells to a token graph and computing invariant cohomology under a symmetry gr...
We compute the automorphism group of a graph exactly, with a verified generatingset. Inside each class of an invariant colouring, individualisation and refinement yielda permutation group TC that contains the restriction of every automorphism; a normalseries of these groups turns the edges between classes into affine s...
Readers Are Functionals- Representation Control of the Relation Layer on Token Arenas a multiplicity table, a faithful-reader certificate, and an isotypic correction to the rank budget Driven by Dean A. Kulik October 2026 Abstract Attaching 2-cells to a token graph and computing invariant cohomology under a symmetry gr...
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work and cyber defense, rolling out soon.
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