A fusion-based artificial intelligence framework that integrates Quantization-Aware Training (QAT)-optimized PointNet++ models with machine-learning regression to predict a short-term dendrometer-derived stem-diameter response expressed in biomass-equivalent units is proposed.
Furkat Bolikulov, K. Zohirov, Gayrat Mannonov et al.· Italian National Conference...· 0 citations
This research paper establishes a limit-free, finite-dimensional algebraic framework for discrete spacetime geometry and quantum kinematics in (3+1) dimensions. Operating over the finite Galois field F_p (with prime characteristic p > 5 and p = 3 mod 4) and its quadratic extension F_p[delta] (isomorphic to the field of...
John D. Coady· Zenodo (CERN European Organi...· 0 citations
We prove six structural results for the local Weil quadratic form $Q_W^L$ on $L^2(-L,L)$ in the interval $\tfrac{1}{2}\log 2 < L < \tfrac{1}{2}\log 3$, the first-prime window where only the prime $n = 2$ contributes to the explicit formula. Our main technical contribution () is an algebraisation showing that the matric...
This manuscript presents the RAPS Dome as a distributed, passive, multimodal sensor-fusion architecture for edge-networked monitoring and Bayesian decision support. The system extends the earlier Sensor Dome concept by combining distributed acoustic sensing (DAS), acoustic and infrasound arrays, encapsulated heterodyne...
Marcel Krūger, Don Feeney, Jacobo Rodríguez· Zenodo (CERN European Organi...· 0 citations
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Why Fisher's exact test is least exact where it matters most: achieved size, wasted power, and a routing rule for 2×2 tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest version): 10....
William Dwyer· Zenodo (CERN European Organi...· 0 citations
Here we present four companion documents for the program corpus listed below. The Taxonomy of Claims lists the theory's claims and assigns each one a status. The claims are grouped in four tiers: Framework (the laws and constants, which the theory does not derive), Derived from Framework (quantities computed from the f...
Scott Weller· Zenodo (CERN European Organi...· 0 citations
Here we present four companion documents for the program corpus listed below. The Taxonomy of Claims lists the theory's claims and assigns each one a status. The claims are grouped in four tiers: Framework (the laws and constants, which the theory does not derive), Derived from Framework (quantities computed from the f...
Scott Weller· Zenodo (CERN European Organi...· 0 citations
# LUPittore[cite: 2] ## Description[cite: 2] LUPittore is an autonomous, standalone Python desktop application for Windows 10 and Windows 11 combining raster canvas manipulation, multilayer digital compositing, procedural brush engines, and autonomous stroke-based rendering (SBR)[cite: 2]. The software is implemented e...
Luigi Usai· Zenodo (CERN European Organi...· 0 citations
Context and Justification The prevalence of neurodegenerative diseases around the world demands a paradigm change from reactive, episodic clinical diagnosis to ongoing, proactive neuro-monitoring. The possibility for early detection and individualized management is limited by the fact that traditional diagnostic techni...
Kutubuddin Sayyad Liyakat Kazi· Brain Health and Lifestyle· 0 citations
H3DNAS is presented, a hardware-aware model compression framework that operates directly on ONNX computational graphs without requiring original source code, architecture class definition, or gradient access during search during search, and is the first source-code-free compression pipeline for 3D point cloud models.
Anchit Mulye, R. Baghel, Sujay Kumar Ingle et al.· 0 citations
Kolmogorov-Arnold Networks (KANs) place learnable B-spline activations on network edges rather than fixed activations on nodes. The standard Cox-de Boor recursion evaluates these activations through $k$ sequential passes for degree-$k$ splines, consuming over 90% of forward-pass time. InKAN replaces this recursion with...
Superseded. This record is retired and should not be used or cited. It is replaced by 10.5281/zenodo.22234051, which is the archive accompanying the manuscript. Version v2.0.0 of this record (10.5281/zenodo.22232689) additionally contained files that should not have been distributed and its removal has been requested....
Fabrice Tiku Nyambod· Zenodo (CERN European Organi...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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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