Climate change is reshaping forest ecosystems by altering temperature regimes, precipitation patterns, disturbance processes, and interactions between insects and their host trees. Among the most dynamic and consequential biological responses are the shifts in geographic range, seasonal phenology, voltinism, overwinter...
Shulin He, Hengyu Yan, Amrita Chakraborty et al.· Frontiers in Forests and Glo...· 0 citations
Compared to standard factor analytic methods, network analyses can provide both confirmatory results and novel insights into the structure of genetic risks for a variety of psychiatric disorders.
K. Kendler, H. Ohlsson, Jan Sundquist et al.· World Psychiatry· 0 citations
The theoretical framework developed in P1-P5 requires computational infrastructure to make ultrametric (p-adic) analysis accessible to experimentalists. We specify and deploy an ultrametric discovery engine — a Cloudflare Worker implementing 20 principles from the proven Ask QWAV production system. The Worker provides...
QNFO Research Agent, Rowan Brad Quni-Gudzinas· Zenodo (CERN European Organi...· 0 citations
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This version introduces the expanded physical testbed dataset (>148,000 telemetry records across 66 independent hardware runs) executed on live ESP32 microcontroller nodes and a Raspberry Pi edge gateway. Version 5.0 validates the TinyOLAF closed-loop edge AI framework across nominal baselines, concurrent network conte...
Haranath Rakshit, Subhasis Banerjee, Avishek Nandi et al.· Zenodo (CERN European Organi...· 0 citations
## Alternative Titles 1. **"Left Unchecked, AI Could Spin Out of Human Control": Dario Amodei, Anthropic, and the Case for a Global AI Pause** 2. **From Competition to Caution: How Industry Leaders, Researchers, and Moral Authorities Are Converging on the Need to Slow AI Development** 3. **The Race to the Top or the Ra...
Sudhakar Geruganti· Zenodo (CERN European Organi...· 0 citations
This survey provides a communication-centric review of DT-enabled vehicular systems and identifies research priorities involving synchronization staleness, twin placement and migration, communication–computation–fidelity tradeoffs, validation and uncertainty, interoperable data models, lifecycle management, and safety-...
Jun-Liang Ye, Yu-Na Jiang, Zi-Wei Chen et al.· Future Internet· 0 citations
With the implementation of multimodal large models in various industries such as military, medical care, industry, education, finance, and transportation, the demand for large-model computing power servers has witnessed explosive growth. The rapid iteration of artificial intelligence technologies and the surge of AIGC...
Ying Wang, Dong-Yu Yao, Li-Jun Zhao et al.· International Conference on...· 0 citations
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...
Fedor Kapitanov· Zenodo (CERN European Organi...· 0 citations
Environmental monitoring, urban-growth rehearsal, and disaster-scenario simulation often need a satellite or aerial scene drawn from a compound geospatial instruction: object counts, relative bearings, land-cover mosaics, and a stated ground sample distance (GSD). Existing remote sensing text-to-image (T2I) models flat...
Yuhang Shao, Zeyu Nian, Yichen Qiu et al.· 0 citations
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...
ASIF BILAL· Zenodo (CERN European Organi...· 0 citations
## Alternative Titles 1. **"Left Unchecked, AI Could Spin Out of Human Control": Dario Amodei, Anthropic, and the Case for a Global AI Pause** 2. **From Competition to Caution: How Industry Leaders, Researchers, and Moral Authorities Are Converging on the Need to Slow AI Development** 3. **The Race to the Top or the Ra...
Sudhakar Geruganti· 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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