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Release Notes — v1.4.2 (28 September 2026) DOI: assigned upon Zenodo release — supersedes v1.4.1 Running corrections: 2/pdf/190_T0_Korrekturen_De.pdf Change log: 001_FFGFT_Changelog_De.md FFGFT — Fundamental Fractal-Geometric Field Theory shows: all Standard Model constants follow from a single dimensionless parameter...
Abstract Removable partial dentures (RPDs) held in place by clasps have become a favored option for treating patients with partial tooth loss. However, these dentures have their drawbacks, including the issue of frequent displacement, which can lead to patient dissatisfaction and decreased usage, especially in situatio...
Exact results for the localization ("trapping") of discrete-time Grover quantum walks on crystal lattices. A finite fraction of a Grover walker stays at its starting point forever, because the walk operator has flat eigenvalues. This paper computes the long-time return probability p̄ exactly for many lattices. Main res...
ACTINV v1.3.1 — release notes ACTINV 1.3.1 is a feature release centred on the measurement-driven product line: assays, facility twins, certified decision loops, and calibrated uncertainty. It also lands the resolved-resonance self-shielding quadrature — SIGMA1-broadened per temperature — plus the chance-constrained de...
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Objective/Scope The primary objective of this research is to demonstrate how autonomous gas-lift optimization—powered by Industrial Internet of Things (IoT), edge computing, and machine learning (ML)—can significantly enhance oil and gas production efficiency. The study aims to validate real-time, intelligent control s...
Embedded microprocessor technologies that are based on the open RISC-V instruction set architecture are reviewed, showing that hardware-optimized interrupt schemes have cut down latency to a level similar to proprietary ARM cores, and area-efficient branch predictors can also effectively reduce pipeline stalls in situa...
Abstract Artificial Intelligence is increasingly being explored as a tool for accelerating progress toward sustainable development. AI can analyse large datasets, identify patterns, forecast events, optimise systems and support decision-making across agriculture, energy, water, healthcare, education, cities, industry a...
Abstract Artificial Intelligence is increasingly being explored as a tool for accelerating progress toward sustainable development. AI can analyse large datasets, identify patterns, forecast events, optimise systems and support decision-making across agriculture, energy, water, healthcare, education, cities, industry a...
Abstract The World Wide Web has evolved from a predominantly static information environment into an increasingly interactive, semantic, distributed and intelligent digital ecosystem. The earlier study on Web 1.0 to Web 3.0 described the transition from the read-only web to the read-write social web and then toward the...
Abstract The World Wide Web has evolved from a predominantly static information environment into an increasingly interactive, semantic, distributed and intelligent digital ecosystem. The earlier study on Web 1.0 to Web 3.0 described the transition from the read-only web to the read-write social web and then toward the...
The effective processing and analysis of high dimensional data is crucial challenge in the big data era of computational science and engineering. As one of the most basic and powerful mathematical tools, matrix factorization can extract the low dimensional structures from high dimensional data and play an irreplaceable...
Abstract EN This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), Frenc...
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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