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2,493 papers
We reformulate the ER = EPR hypothesis within the Ontological Resolution Theory (ORT) framework. The central claim: ER (Einstein-Rosen bridge) and EPR (Einstein-Podolsky-Rosen entanglement) are not identical, as conjectured by Maldacena and Susskind, but stand in a proper inclusion: ER ⊂ EPR. The backend substrate cons...
The frequent occurrence of safety accidents on construction sites highlights the urgent need for intelligent Personal Protective Equipment (PPE) monitoring. However, existing deep learning solutions often rely on cloud computing, suffering from high latency, and are susceptible to false alarms in complex environments d...
Emerging cyberinfrastructure (CI) testbeds offer research communities early access to novel computing architectures, but researchers often lack structured pathways for evaluating and adopting these technologies within their own workflows. ByteBoost 2.0, a National Science Foundation Cybertraining award led by the Pitts...
Near-infrared (NIR) imaging is essential for biological and materials sensing, yet high-performance NIR detectors are often cost-prohibitive and plagued by high dark current. Nonlinear frequency upconversion offers a compelling solution by shifting NIR signals into the visible spectrum, allowing the use of mature silic...
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Cardiovascular diseases (CVDs) remain the leading cause of mortality globally, with disproportionate impact on low- and middle-income countries (LMICs) including Nigeria. The convergence of Internet of Things (IoT), edge computing, and wearable biosensing technologies presents transformative opportunities for remote ca...
Orientation as Holonomy of the Reader Configuration Space Driven by Dean A. Kulik September 2026 Abstract A finite reader partitions a cell set into m sectors and observes a permutation T through the sector-to-sector transition table C(T). Because T is a bijection, the antisymmetric part A = C − Cᵀ has zero row sums an...
With great pride and anticipation, I present the inaugural volume of the Precision Journal of Information Technology & Scientific Innovation. The launch of this journal marks the beginning of an exciting journey. a platform dedicated to advancing knowledge, fostering innovation, and bridging the gap between cutting-edg...
KAEL is a single, dependency-free Python file (~1,800 lines, stdlib only) that builds an exact algebraic core and, on top of it, a small 2D lattice spinor medium. It runs its own 16-check self-certification on load. Everything below was independently re-derived and measured against the unmodified engine, not read off i...
A novel method for detecting malicious code based on abstract syntax tree (AST) multi-dimensional feature fusion and dynamic graph optimization that effectively overcomes the reliance of traditional detection techniques on static feature libraries, demonstrating significant advantages in complex scenarios such as APT a...
The most popular architecture for land-cover classification and remote sensing remains image classification, and EuroSAT remains the benchmark dataset. Six studies from the literature (2023–2026) report either classification accuracy or deployment efficiency for CNNs, but none report both dimensions for the same model...
AbstractTT-DAV §23.14 found that its gauge-independent defect-insertion outer-loop holonomy, evaluated on a sample of 300 edge-pair configurations, is exactly determined in its SUPPORT by the §23.10 (k1,k2) transport class — class (1,4) configurations produce only {0°,120°,144°}, class (2,3) only {72°,144°} — butnot in...
Abstract Spectral photon-counting computed tomography (SPCCT) enables material-resolved imaging through K-edge discrimination, yet its application to multiplexed molecular mapping of human surgical specimens remains underexplored. Here, we report a clinically relevant multiplex K-edge imaging strategy and demonstrate i...
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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