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2,370 papers
IoT Explained: Smart Systems, Connected Devices & Intelligent Technologies is a publication-grade Open Educational Resource (OER) module covering the microarchitectural, wireless network, edge computing, and cybersecurity principles governing distributed smart environments. Serving as an integral core module within the...
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...
This technical whitepaper provides an empirical evaluation and architectural benchmark of on-device deep learning inference within real-time interactive game simulations, focusing on the Unity Sentis framework and modern Edge AI paradigms (2026). Traditional cloud-based AI inference architectures introduce non-determin...
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...
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Version 11, prepared for submission to Physica A (version 11 merges a professional language edit; the nearest-neighbour and BKT conclusions are stated for the parameters and resolution tested). A two-dimensional rotor lattice whose ordering couplings are removed by an order-dependent flux and restored by repair. The me...
Embedded Systems & Microelectronics Explained: Design & Applications is a publication-grade Open Educational Resource (OER) module covering the microarchitectural, physical packaging, real-time firmware, and power optimization principles governing edge compute nodes. Serving as an integral core module within the Electr...
Version 10, revised for Physica A. A two-dimensional rotor lattice whose ordering couplings are removed by an order-dependent flux and restored by repair. The mean-field reduction is bistable above a computed feedback threshold; it includes a kinetic Monte Carlo study designed to separate static from rate-dependent hys...
IoT Explained: Smart Systems, Connected Devices & Intelligent Technologies is a publication-grade Open Educational Resource (OER) module covering the microarchitectural, wireless network, edge computing, and cybersecurity principles governing distributed smart environments. Serving as an integral core module within the...
FINDING: The Harborth graph — the smallest known 4-regular planar unit-distance graph on 34 vertices — has an analytical coordinate embedding whose minimal polynomials are now explicitly derived, revealing deep ties to crystallographic symmetry and algebraic number theory. | MATH: Harborth graph: 34 vertices, 68 edges,...
This technical whitepaper provides an empirical evaluation and architectural benchmark of on-device deep learning inference within real-time interactive game simulations, focusing on the Unity Sentis framework and modern Edge AI paradigms (2026). Traditional cloud-based AI inference architectures introduce non-determin...
Embedded Systems & Microelectronics Explained: Design & Applications is a publication-grade Open Educational Resource (OER) module covering the microarchitectural, physical packaging, real-time firmware, and power optimization principles governing edge compute nodes. Serving as an integral core module within the Electr...
FINDING: The Harborth graph — the smallest known 4-regular planar unit-distance graph on 34 vertices — has an analytical coordinate embedding whose minimal polynomials are now explicitly derived, revealing deep ties to crystallographic symmetry and algebraic number theory. | MATH: Harborth graph: 34 vertices, 68 edges,...
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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