Halide perovskite memristors are emerging as compelling platforms for in‐memory computing because their low ionic migration energies and compositional versatility enable tunable conductance states. However, previous studies have primarily focused on defect passivation to improve device reliability, with limited exp...
Sang-Hern Lee, Seung-Su Shin, Yubhin Cho et al.· Advanced Functional Material...· 0 citations
Calibration descriptor and extraction scripts for the Proof of Trust (PoT) proof-of-concept. Provides per-profile, per-dimension distribution parameters derived from the descriptive statistics of real IoT/IIoT security datasets (MQTTset, N-BaIoT, Edge-IIoTset; TON_IoT as contextual reference). Version 1.8 adds manufact...
Mohamed Faraji· Zenodo (CERN European Organi...· 0 citations
This technical data package establishes the engineering blueprints, economic integration thesis, and provisional utility patent specifications for the Lawrence Aero Brick Solid-State Transformer (LAB-SST). The LAB-SST is a zero-silicon, plasma-state power transformation architecture that replaces physical Silicon Carbi...
Charles Clark Lawrence· Zenodo (CERN European Organi...· 0 citations
We record a vanishing phenomenon for exact (non-Monte-Carlo) Weingarten calculus computations on SO(m), encountered while searching for non-local closing constructions for the residual 3⁻³⁴ discrepancy in reconstructing Nissim's SO(3) deconfinement tube. Call a plaquette a 4-cycle of directed edges, and say it is doubl...
Martín Baca· Zenodo (CERN European Organi...· 0 citations
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guv-calcs is an open-source Python scientific computing library for physically based modeling of germicidal ultraviolet (GUV) light in indoor environments, with a focus on far-UVC (200–235 nm) applications. The library provides core numerical tools for representing lamps, spatial geometry, calculation planes and volume...
Vivian Belenky, Holger Claus· Zenodo (CERN European Organi...· 0 citations
Modern deep learning accelerators (GPUs, TPUs) are fundamentally constrained by the von Neumann memory wall: over 90% of total inference energy and latency is consumed by shuttling high-precision matrix weights across off-chip memory hierarchies (HBM3e, GDDR6) rather than executing arithmetic operations. Furthermore, a...
Christian Duguay, Alix· Zenodo (CERN European Organi...· 0 citations
roseNNa is now a code generator. A model is lowered to Fortran 2008 or C11 with literal loop bounds, no runtime shape logic, no allocation and no mutable global state, so infer inlines into a solver's own compute kernel -- including a device kernel. The previous runtime library (fLibrary/) is retired. It parsed a model...
Ajay Bati, Spencer H. Bryngelson· Zenodo (CERN European Organi...· 0 citations
Photonic logic gates, essential for next-generation photon computing, are currently hindered by limited dynamic control, high power consumption, and architectural complexity. Here, we demonstrate a non-volatile, reconfigurable optoelectronic logic device based on a van der Waals heterostructure of ferroelectric α-In₂Se...
Erratum notice (v1.6). This version repairs five defects in the v1.5 record. It is a build, labelling and open-problem erratum: no theorem, proposition, conjecture, or numerical value of v1.5 is altered by it. Concept DOI is preserved (10.5281/zenodo.19941678); v1.5 (10.5281/zenodo.22717792) is superseded. (1) Wrong bu...
papanokechi papanokechi· Zenodo (CERN European Organi...· 0 citations
Overview This dataset provides a geospatially enriched version of the EVRPTW benchmark instances of Schneider et al. (2014). It is intended for evaluating routing algorithms for electric vehicles when route optimization and physically based energy consumption must be studied together. Every node of every instance (depo...
Iyed GUIZENI, Mariem Belhor· Zenodo (CERN European Organi...· 0 citations
We present a systematic experimental study of what an observer with a restricted read channel can learn about a deterministic source whose full state is inaccessible to him. The source is a 12-node icosahedral cluster evolving under a discrete second-order update rule; the observer reads a subset of nodes through a fix...
Fedor Kapitanov· Zenodo (CERN European Organi...· 0 citations
Modern deep learning accelerators (GPUs, TPUs) are fundamentally constrained by the von Neumann memory wall: over 90% of total inference energy and latency is consumed by shuttling high-precision matrix weights across off-chip memory hierarchies (HBM3e, GDDR6) rather than executing arithmetic operations. Furthermore, a...
Christian Duguay, Alix· 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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