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2,751 papers
This entry presents Glycidol (C3H6O2; CAS 556-52-5; PubChem CID 11164) as a 3D-printable ball-and-stick model in which every atom carries its engraved element symbol (C, H, O), so the model can be read without a colour key. Atomic coordinates come from the PubChem-computed 3D conformer (not an experimental crystal stru...
Artificial Intelligence (AI) models are increasingly pivotal in enabling face recognition across various fields, from educational and research settings to public spaces.Effective deployment of these models requires high-performance hardware, such as RTX graphics cards or embedded edge devices like Nvidia's AGX Orin and...
The code release cited by the paper. Every number and rule the paper states is what this release does. Each change F1-F10 has a test that fails on 1.0.0 and passes here. F1, adopted gate constants. The stage-0 gate defaults to T_req = 0.17378, cascade-anchored as m*_D / (k V_bt^max). The earlier screening threshold rem...
The Hurwitz graph has as its vertices the maximal chains in the lattice of non-crossing partitions, with an edge between two chains which differ at exactly one place. Adin and Roichman introduced an order on this graph by choosing a base element and showed that the maximal elements are counted by the Catalan numbers. W...
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The Service-Life Trajectory: A Label-Free Degradation Gauge, Its Competence Boundary, and the Drift a Frozen One-Byte Monitor Must Survive Randolph James Ferlic, M.D. and Kimberly Kate Ferlic — Fieldstone Analytics, LLC, Austin, TX, USA Preprint · Zenodo DOI: 10.5281/zenodo.23321165 · CC-BY 4.0 · Community: spiral-doma...
With the rapid growth of e-commerce, Automated Guided Vehicles (AGVs) are increasingly deployed in intelligent warehouses, where Simultaneous Localization and Mapping (SLAM) provides the core localization capability. Warehouses differ from domestic or outdoor scenarios in four respects: highly structured regular rack l...
The fast industrial digitalization process results in the implementation of Internet of Things (IoT) technologies into the big automated plants to improve its operational precision, reliability, and sustainability. The paper presents a novel IoT-based instrumentation architecture to predictive maintenance and remote mo...
The massive rise of hyperconnected devices, ultra-reliable low-latency communications (URLLC), and autonomous systems on the 6G-IoT front line, have called for a drastic change to resource management methodologies. In this paper we present a pioneering work the S-EARM (Self-Evolving Adaptive Resource Management) framew...
INTRODUCTION: Smart manufacturing production lines integrate Computer Numerical Control (CNC) machines, industrial robots, motor drives, conveying units, sensors, and Programmable Logic Controller (PLC) workstations. Their operation and maintenance (O&M) requires low-latency recognition of coupled vibration, temperatur...
INTRODUCTION: The rapid integration of distributed renewable energy and ICT infrastructure has made interconnected multi-microgrid distribution systems essential for low-carbon power grids, yet centralized coordination exposes sensitive operational data to privacy risks, including eavesdropping and membership inference...
With the explosive growth of artificial intelligence generated content (AIGC) applications, deploying lightweight tiny neural networks (TNNs) at the edge to mitigate the high latency and cost of large cloud models has become an important trend in mobile computing. However, resource heterogeneity in edge environments, t...
With the continuous development of artificial intelligence (AI) technology, smart home systems have gradually evolved from traditional automated control modes toward intelligent systems with environmental perception, autonomous decision-making, and proactive service capabilities. However, existing smart homes still fac...
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.
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.
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