Rising heat-flux densities in high-performance computing centers impose stringent requirements on the stability of liquid-cooling circulation systems, in which centrifugal pumps are susceptible to cavitation-induced flow instabilities. However, the physical mechanism by which cavitation disturbances are generated and a...
Rising heat-flux densities in high-performance computing centers impose stringent requirements on the stability of liquid-cooling circulation systems, in which centrifugal pumps are susceptible to cavitation-induced flow instabilities. However, the physical mechanism by which cavitation disturbances are generated and a...
The fast progress of deep learning and computer vision technology is providing new ways to solve the problem of managing inventory in live e-commerce. As the live e-commerce industry grows, the traditional inventory management model struggles to meet the demands of high concurrency and real-time transactions. The paper...
Xiaoli Zhao· Advances in transdisciplinar...· 0 citations
The increasing complexity of modern deep neural networks (DNNs), particularly Transformer architectures such as large language models (LLMs) and diffusion models, has made inference efficiency a central challenge across edge and datacenter platforms. The two regimes, however, impose sharply different constraints. At th...
Aradhana Mohan Parvathy· Purdue· 0 citations
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This treatise introduces a non-invasive, universal quantum-biological framework designed to reverse structural macromolecular mutations and pathogens across human, veterinary, and agronomic systems through the deployment of temporary, bioresorbable inorganic nanoprostheses. Traditional quantum biology remains bottlenec...
Yaron Admon Hefetz· Zenodo (CERN European Organi...· 0 citations
Nissim (arXiv:2605.16162) proved that SO(3) lattice Yang-Mills theory at strong coupling fails Wilson's confinement criterion, via an explicit "tube" cluster in the cluster expansion whose leading contribution is computed exactly using third-moment identities for Haar(SO(3)). A natural question, raised explicitly in Ni...
Martín Baca· Zenodo (CERN European Organi...· 0 citations
This repository contains the data and code associated with the experiments described in Chai & Huang, "Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing", Journal of Grid Computing 22:27 (2024). The movement-intent-recognition front end is based on the publicly available ENABL3S dat...
Sheng Chai, Jimmy Huang· Zenodo (CERN European Organi...· 0 citations
To have a positive impact on patient survival and death rates, lung cancer must be diagnosed early and as accurate as possible. While deep learning has shown exceptional success in medical image analysis, a large number of the current methods use computationally intensive architectures that are not very interpretable a...
Shaily Jain, Karan Bajaj, C. Prabha et al.· Scientific Reports· 0 citations
Nissim (arXiv:2605.16162) proved that SO(3) lattice Yang-Mills theory at strong coupling fails Wilson's confinement criterion, via an explicit "tube" cluster in the cluster expansion whose leading contribution is computed exactly using third-moment identities for Haar(SO(3)). A natural question, raised explicitly in Ni...
Martín Baca· Zenodo (CERN European Organi...· 0 citations
HED-ID is presented, a fully integrated federated expert system designed for real-time, edge-oriented anomaly detection that combines a stacked bidirectional GRU architecture with hybrid temporal–spatial attention for sequential and feature-level anomaly modeling.
Kushboo Nasir, Sahar K. Badri, A. Khattak et al.· Scientific Reports· 0 citations
This repository contains the data and code associated with the experiments described in Chai & Huang, "Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing", Journal of Grid Computing 22:27 (2024). The movement-intent-recognition front end is based on the publicly available ENABL3S dat...
Sheng Chai, Jimmy Huang· Zenodo (CERN European Organi...· 0 citations
This treatise introduces a non-invasive, universal quantum-biological framework designed to reverse structural macromolecular mutations and pathogens across human, veterinary, and agronomic systems through the deployment of temporary, bioresorbable inorganic nanoprostheses. Traditional quantum biology remains bottlenec...
Yaron Admon Hefetz· Zenodo (CERN European Organi...· 0 citations
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
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.
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