⚠️ Important Notices Windows Smart App Control: On newer Windows machines, Smart App Control may prevent Serial Studio from running because the binaries are not code-signed yet. Either install from the Microsoft Store, or turn off Smart App Control (Windows Security → App & browser control → Smart App Control settings). macOS: The minimum supported version is now macOS 14.0 (Sonoma). Linux: AppImage/.deb/.rpm builds contain bundled glibc dependencies, which makes them available for older distributions too (RHEL 8 / Debian 10 era). 🚀 New Features OPC UA driver: Connect to OPC UA servers through an embedded open62541 + mbedTLS stack with all five security policies: secure channels, a server trust store, X.509 client identity, and bounded discovery/browse. The tag browser lets you browse the server's address space, tick the tags you want, and generates the project for you. Sparkplug B: The MQTT driver now decodes Sparkplug B topic namespaces, and Serial Studio can publish as a Sparkplug B Edge Node with stable metric aliases — including projects with multiple data sources feeding one node. Industrial drivers: New drivers for Siemens S7 PLCs (S7comm), EtherNet/IP PLCs (Allen-Bradley and friends), and IEC 60870-5-104 substations. CAN Bus: J1939 and ISO-TP decoding, DBC extended multiplexing, and CAN FD commands on the API server. InfluxDB sink: Stream live telemetry straight into InfluxDB. Network source: WebSocket and HTTP/HTTPS clients join TCP and UDP in the Network driver. MQTT mutual TLS: Client-certificate authentication for brokers that require it. Dedicated processing thread: The whole frame pipeline (decoding, parsing, dataset updates) moved off the GUI thread, so the dashboard stays responsive even at extreme data rates. LuaJIT scripting: The Lua runtime is now LuaJIT 2.1 with a per-project Safe/Fast execution mode, and the editor shows migration hints for Lua 5.3-era scripts. GPU rendering: The 3D plot and the waterfall now render on the GPU, and the 3D plot's stereo (anaglyph) eye channels are properly isolated. Command palette: One palette across all contexts, with editor history and workspace switching. Dashboard layout: Per-view auto-layout patterns, frozen seams, uniform widget widths in uneven layouts, manual-layout alignment guides, and shared margin/spacing settings. Widget polish: Per-widget display titles, freeze modes with a caption menu, per-dataset color overrides, and dataset aliases. Plots & FFT: Log-scale axes, FFT ballistics, labeled frequency markers with warning/alarm levels, and FFT/audio (WAV) export from the FFT plot and waterfall. Replay: Timeline scrubbing, and huge CSV/MDF4 recordings now stream through a memory-mapped index with background loaders instead of being loaded into RAM. Script macro console: A new macro console with a built-in API terminal for driving the app from scripts. Historian: Archived sessions are verified for reproducibility, and the SQLite database format is documented for external tools. Clearer names: Session Database is now Historian, Shared Memory is now Variables, Virtual Dataset is now Computed Dataset, and Painter is now Canvas Widget. Existing project files keep working unchanged. XY plots for everyone: Dataset-vs-dataset (XY) plotting is now free in the GPL build — pick any dataset as the X axis of a plot. Trial parity: The 14-day trial now unlocks the complete Pro feature set. Licensing: The open-source core is relicensed to GPL-3.0-or-later, and the repository is fully REUSE-compliant. 🐛 Bug Fixes UART: Fixed garbled data at 15 Mbaud on Windows (#386) and the COM port dropdown now shows the full port name on hover (#387) — thanks @ZhiyuanYuanNJ! Connections: Connection state is now truthful while a link is dialing, phantom TCP connects no longer wedge the connect button, sessions survive link drops, and Modbus dials asynchronously. Replay & export fidelity: Dense stream recordings replay and export correctly again, and the Historian flushes open blocks before verifying an archive. Windows: Dashboard widgets no longer slide under the window caption. macOS: Window title bars no longer mismatch the app theme (per-window appearance is pinned to the painted caption color). Linux packaging: The AppImage now bundles the Mesa GL vendor stack, Wayland platform plugins, KaTeX, ALSA pulse plugins, and OpenSSL 3 — it works out of the box on far more distributions. Plots: Axis tick anchors are guarded against non-finite and inverted ranges. Memory: The frame pool is bounded by bytes and no longer regrows after every structural change; idle stream exports no longer cost memory. Licensing: Licensing state is built first at startup, rejected cached licenses revalidate, and late or offline activation no longer downgrades Pro widgets to fallbacks. Scripting: Generated protobuf parsers are now LuaJIT-compatible. Stability: A full pre-release review sweep closed the remaining blockers across security and dependencies, lazily-opened project editor dialogs are released properly, and the OPC UA stack sizes certificate SAN buffers from the actual name lengths. 📚 Documentation The Historian's SQLite database format is documented so external tools can consume recordings directly. New and updated manual pages for OPC UA, the industrial drivers, and the Command Palette. 💡 Serial Studio Pro Unlock advanced features with a license key via About → License Management. The 14-day trial unlocks everything below. Pro features include: 3D Plot, Waterfall, Image View, and Canvas widgets Output widgets, operator shortcuts, and runtime mode Full MQTT support with Sparkplug B Modbus, CAN Bus, OPC UA, Siemens S7, EtherNet/IP, and IEC 104 Audio input, raw USB & HID, and Process I/O drivers Multiple devices in one project MDF4 import/export and the Historian File-transfer protocols (X/Y/ZMODEM) Modbus register-map and CAN DBC importers 👉 Get Serial Studio Pro: https://store.serial-studio.com/buy/ba46c099-0d51-4d98-9154-6be5c35bc1ec No Budget? You can still unlock Serial Studio Pro by contributing: Share tutorials, videos, or forum posts. Promote on social media or dev communities. Translate the UI or improve documentation. Send logs, protocol data, or donate development hardware. 👉 VALUE-FOR-LICENSE.md Full changelog: v4.0.3 → v4.1.0
Alex Spataru, Alison de Oliveira Tristão, Andrew Salinas et al.· Zenodo (CERN European Organi...· 0 citations
CP-H1-INT-001 v0.1.0 presents a theory-neutral analytical and deterministic audit of a necessary condition for an integral-cohomology or flux-quantization closure of the carrier-derived exterior-moment H1 line on the locked DG-001 6D-to-3D cut-and-project incidence complex. The primary locked finite source is: HLV-DG-001 Locked Confirmatory Results v0.1.1 DOI: 10.5281/zenodo.22107618 The immediate upstream analytical records are: CP-H1-ORI-SCALE-001 DOI: 10.5281/zenodo.22207132 CP-H1-SRC-UNI-001 DOI: 10.5281/zenodo.22206661 CP-H1-SRC-001 DOI: 10.5281/zenodo.22180728 CP-H1-FLAG-001 DOI: 10.5281/zenodo.22180467 CP-H1-SEL-001 DOI: 10.5281/zenodo.22180275 The locked incidence complex has (N0,N1,N2,N3) = (1110,5345,6960,2826) and beta1 = 99. For a connected finite cell complex, the universal coefficient theorem gives H^1(X;Z) = Hom(H_1(X;Z),Z), so H^1(X;Z) is torsion-free. In the present case it is a free abelian group of rank 99. The audit asks whether the real harmonic line selected by the previously defined carrier-derived exterior-moment source contains a nonzero integral cohomology class. An exact period criterion is established. A nonzero real line L = span{h} in H^1(X;R) contains a nonzero integral class if and only if there exists a nonzero scalar a such that a is an integer for every integral 1-cycle c. Equivalently, the additive subgroup generated by all periods of h must be cyclic. After primitive normalization all cycle periods must be integer multiples of one common period unit. A deterministic spanning tree of the connected locked one-skeleton produces N1 - N0 + 1 = 4236 fundamental graph cycles. These cycles generate the integral cycle group of the one-skeleton. Because h is closed, its periods on the fundamental cycles determine its cohomological period homomorphism. The source-selected harmonic line was independently reconstructed using two deterministic shift-invert routes. The two selected lines agree with absolute cosine equal to 1.0000000000 to displayed precision. Their L2 difference is approximately 1.88 x 10^-11, and the relative difference between their fundamental-cycle period vectors is approximately 1.91 x 10^-11. A conservative normalized-period comparison tolerance of 1 x 10^-8 is declared. Continued-fraction rational reconstruction was then used to test bounded arithmetic heights. At the declared tolerance, primitive integral period vectors with maximum absolute fundamental-cycle integer at most 10^4 are excluded. For example, one normalized period is approximately 0.2520321060. The nearest rational with denominator at most 10^4 is 2512/9967, whose distance is approximately 4.01 x 10^-7, well above the declared numerical tolerance. At denominator bound 10^5, the numerical separation is no longer sufficient for a certified exclusion under the same tolerance. The finite-height calculation therefore does not prove irrationality of the selected line at arbitrary arithmetic height. This limitation is fundamental: projective integrality is an exact arithmetic property, and rational directions of increasing height are dense in real projective space. Floating-point agreement alone cannot provide an all-height irrationality proof. The audit therefore derives an exact lower-dimensional decision route. Let A denote the 15-channel parent-bivector edge source and P_H the counting-metric harmonic projector. Since the locked incidence matrices are integer, the centered parent-coordinate source is rational, and the harmonic subspace admits a rational basis, the exact operator G = A^T P_H A is a 15 x 15 matrix over Q. The nonzero eigenvalues of the full sign-free harmonic source operator K_wedge = P_H A A^T P_H are exactly the eigenvalues of G. The projected source has full channel rank 15 and its leading eigenvalue is simple. Under these conditions, the source-selected harmonic line contains a nonzero rational vector if and only if the simple leading eigenvalue of G is rational. Therefore a rigorous proof that the leading eigenvalue of exact G is irrational would exclude any nonzero rational or integral cohomology representative on the selected line. Conversely, if the leading eigenvalue is rational, an exact rational eigenvector can be constructed and the existence of a primitive integral representative can then be tested directly. The current double-precision leading value, lambda1 approximately 3336.59358698, is not itself evidence of irrationality. The principal status is: CPH1INT001_INTEGRAL_FLUX_CLOSURE_NOT_CERTIFIED_LOW_HEIGHT_RATIONALITY_EXCLUDED_NUMERICALLY The result therefore does not establish an integral source-selected cohomology class and does not establish native flux quantization. It also does not prove all-height non-integrality. A physical flux quantum, gauge coupling, dimensional scale, physical gauge field, Standard-Model interaction, physical six-dimensional spacetime, continuum limit, or empirical validation is not derived. No parameter search, threshold optimization, target-versus-null specificity simulation, post-result rescue, or empirical fitting is performed. The next exact mathematical step is to construct the 15 x 15 Gram operator G over Q using exact or modular sparse arithmetic, compute and factor its exact characteristic polynomial, and determine whether its simple leading eigenvalue is rational. No flux quantum or physical coupling may be introduced merely to force an integral result.
Marcel Krüger· Zenodo (CERN European Organi...· 0 citations
Six-player Canadian Fish is a decentralised imperfect-information team game in which every action is public, so the hidden state reduces to the initial deal and the posterior over that deal can be computed exactly. We develop and evaluate SESTINA v1.0, the strongest configuration produced in this project’s FishBot lineage. It combines an approximate Sinkhorn fit to that posterior, started from a fitted policy prior, with a linear ask and declaration policy, a public-history tie-breaking rule that preserves common knowledge among teammates, a half-suit contestation weighting, a deduction-state stall detector in place of an event-count termination rule, and a guarded determinized test-time search. Evaluation follows a protocol registered in advance and run on sealed holdout material, using duplicate deal blocks, deal-clustered bootstrap confidence intervals, replication across two disjoint deal banks as an advance-specified criterion, calibrated detection floors, and mechanical side-channel controls. Against F-cheap, the cheapest configuration genuinely on the v0.6 frontier and the registered comparison target, SESTINA v1.0 achieves a +3.33 percentage-point win-rate edge (95% CI [+2.88, +3.78]) over 48,000 sealed games, with the sign replicating on both banks. The advantage persists under cross-play between independently trained runs and eight rule dialects. Under partner substitution against a v0.5 opponent 6 of 7 changed-partner rows stay positive, but the worst is −0.19 [−1.04, +0.67], which that battery does not resolve against the registered −1.00 collapse threshold. Separately, none of eight independently constructed adversarial searches found a positive edge at the tested budgets. SESTINA v1.0 does not, however, measurably outperform a composite configuration assembled earlier in the same programme (+0.15 pp, 95% CI [−0.29, +0.59]), indicating that the architecture work which followed added no measurable strength. Over a shared 31-member opponent panel SESTINA v1.0’s worst cell is −0.04 pp [−1.41, +1.33], which does not replicate in sign, and it is 3rd of four on minimax regret. Four candidate mechanisms failed to produce measurable improvement at this resolution. At the calibrated resolution of this evaluation the tested policy class appears locally flat, and we state what evidence a near-optimality claim would require.
Dylan Nguyen· Zenodo (CERN European Organi...· 0 citations
Industrial Internet Technology Application and Practice is compiled by the team of experts from Wenzhou Vocational Secondary School and fully meets the vocational talent training requirements of modern industries, laying a solid foundation for cultivating versatile and innovative technical talents in the era of Industry 4.0 and smart manufacturing.This book, as a practical companion textbook for vocational and technical training, is grounded in the laws of hands-on teaching and the characteristics of real-world industrial applications. Closely aligned with the talent training objectives of the Industrial Internet, it systematically integrates core content such as digital twin simulation, IoT networking, PLC programming, cloud platforms, and edge computing. It covers key projects including the Installation and Commissioning of Smart Logistics Systems, Smart Energy Consumption Systems, Smart Production Workshops, and Intelligent Warehousing Systems, helping students and practitioners build a complete and systematic knowledge framework of industrial Internet technologies and their practical applications.Author/Editor-in-Chief: Li Jiang, Wu Jie, Wang Bailiang
Li jiang, Wu Jie, Bailang Wang· Figshare· 0 citations
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A low-cost, vision-based robotic manipulation framework designed for intelligent IIoT-enabled production lines is presented in this research. To achieve reliable performance under various industrial settings, the proposed system presents an edge-aware perception pipeline that combines calibration-aware localization, monocular vision, and GAN-assisted augmentation for real-time robotic manipulation. The framework maintains excellent detection accuracy while drastically lowering hardware complexity and cost, in contrast to traditional methods that rely on cost-prohibitive depth-sensing hardware. To enable precise and dependable pick-and-place operations, a tightly connected perception calibration control architecture is created to guarantee accurate mapping from image-space observations to robot workspace coordinates. Real-time decision-making and low-latency inference are made possible by the system's deployment on an edge computing platform. A collection of about 900 annotated photos taken in various lighting scenarios, object orientations, and spatial arrangements is used for experimental evaluation. With a mean detection accuracy of 94.2% with low variance, the results show robust convergence behavior and better performance than baseline models. The system meets real-time industrial needs with an average inference time of about 35 ms per frame. Additionally, scalable deployment and smooth communication across dispersed production environments are made possible by integration with lightweight IIoT communication protocols. All things considered, the suggested framework offers a workable and scalable way to connect IIoT system integration, real-time robotic manipulation, and vision-based perception. The creation of a perception calibration control coupling architecture that synchronizes visual perception, spatial synchronization, edge inference, and robotic execution within a single IIoT production environment is the study's primary contribution rather than the individual adoption of current algorithms like YOLOv8 detection, GAN-based augmentation, or hand-eye calibration. Real-time closed-loop manipulation is made possible by this concept in industrial settings with limited resources.
Chenxu Duan, Ya Wang, Luwen Wang et al.· Scientific Reports· 0 citations
This paper investigates the protection of quantum entanglement states through topological principles. The core claim is that embedding entangled states within systems exhibiting non-trivial topological properties can lead to enhanced long-term fidelity. The fundamental mechanism involves leveraging the topological robustness of these structures to suppress the detrimental effects of local perturbations on the delicate entangled correlations. We explore various topological systems, focusing on their ability to shield entangled states from decoherence. The theoretical framework presented here offers a novel approach to building robust quantum information processing architectures, particularly for quantum computing applications. We demonstrate, through mathematical analysis, that the topological protection significantly improves the preservation of entanglement against environmental noise. Specifically, we consider a model system—a chain of interacting spin-1/2 particles—and derive the equations governing the evolution of the entangled state under the influence of both Hamiltonian terms and external perturbations. Our results highlight the potential of topological protection for achieving high-fidelity quantum entanglement over extended periods. The key equation governing the evolution of the entangled state is given by: ψ(t) = U(t)ψ(0) where ψ(t) is the state vector at time t, ψ(0) is the initial state vector, and U(t) is the time-evolution operator. We also explore the concept of topological invariants, such as the braid group, to characterize the topological properties of the system. The braiding of these topological elements can be used to manipulate the entangled state without destroying the entanglement. The preservation of entanglement is quantified by the fidelity, defined as: F(t) = |⟨ψ(t)|ψ(0)⟩|2 where ⟨ψ(t)|ψ(0)⟩ represents the overlap between the final and initial states. Our analysis demonstrates that the fidelity decays much slower in topological systems compared to non-topological systems. Furthermore, we investigate different types of topological protection, including chiral edge states and non-abelian braiding. We present a general framework for assessing the topological protection of any quantum system, emphasizing the importance of understanding the interplay between the topological structure and the quantum state. Finally, we discuss the challenges and future directions in realizing topological quantum computation. ---
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This paper presents the architectural blueprint of the OMEGA INFINITY KAORU processor, a computing substrate that solves the Boolean circuit satisfiability problem (Circuit-SAT)---the canonical NP-complete problem---in practical constant time, in strictly literal $O(\log n)$ time, and in $O(n)$ space. The architecture couples a conductive GRID, realized as a two-dimensional lattice of interconnect, to a digital Circuit-SAT instance. The positive terminal of a source is connected to the midpoint of the left edge of the GRID, while the right edge is interfaced to the Boolean inputs $v_1, v_2, \dots, v_n$ of the Circuit-SAT instance. The GRID concurrently explores all admissible conduction states; ambient physical variation (noise), which is discrete in nature, steers the current toward the path consistent with a satisfying assignment, in accordance with the principle of least action. The GRID can therefore be regarded as an enormous macroscopic, noise-resilient analogue of a qubit---a hypercomputational element that is not subject to the limitations of the BQP class. The satisfying assignment is recovered either by thresholded voltage measurement at the inputs $v_1, v_2, \dots, v_n$ or by the standard search-to-decision reduction, which becomes practical when the Circuit-SAT stage is implemented as a programmable processor rather than as a fixed lithographic pattern. Fabrication is fully viable with present-day photolithography, either as a single-use, instance-specific device or as a recommended programmable variant in which a conventional processor drives arbitrary SAT formulae into the GRID. Because the architecture resolves an NP-complete problem in practical constant (strictly, logarithmic) time and linear space, it establishes, in practice, $O(1)=\log\text{-time}=P=NP$. Since cryptographic constructions---RSA, elliptic-curve systems, and post-quantum schemes alike---reduce to SAT instances, they are solvable within the same practical constant time. The implications extend to artificial intelligence, optimization, logistics and the distribution of goods, automated mathematical reasoning, and drug discovery.
Kaoru Aguilera Katayama· Zenodo (CERN European Organi...· 0 citations
This paper introduces a novel approach to computation security leveraging the principles of spectral theory. Traditional computational security relies heavily on cryptographic methods, which are increasingly vulnerable to advancements in computing power and algorithmic attacks. We propose a framework that abstracts computation into a spectral graph, allowing us to analyze and defend against malicious activities—specifically, data manipulation (tampering), eavesdropping, and deception—using spectral analysis techniques. The core idea is to represent the computational process as a graph where nodes represent operations and edges represent data flows. Analyzing the spectrum of this graph provides a robust method for identifying anomalies and detecting attacks. This work demonstrates a fundamentally new approach to security, shifting the focus from purely cryptographic solutions to a more holistic, data-driven perspective informed by spectral analysis. The proposed method offers a potentially more resilient defense against evolving threats in the computational domain.
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Digital transformation is increasingly reshaping infrastructure systems by integrating connected technologies, intelligent decision-making, automated processes, and sustainable resource management. However, the rapid expansion of digital infrastructure has also introduced challenges related to cybersecurity, privacy, interoperability, scalability, environmental impact, and operational resilience. This study presents a systematic review of digital technologies for sustainable and secure infrastructure, with particular emphasis on connected vehicles, privacy-preserving technologies, and intelligent construction. The review examines two complementary domains: secure connected transportation and digitally enabled sustainable construction. In the transportation domain, attention is given to authentication, privacy protection, pseudonym management, Sybil resistance, accountability, zero-trust architectures, decentralized trust, and infrastructure-assisted security. In the construction domain, the review considers digital inspection, three-dimensional concrete printing, sustainable construction materials, and digitally supported supply-chain resilience. The analysis identifies common challenges across both domains, including the need for trustworthy data exchange, interoperability, scalable architectures, efficient resource utilization, and balanced protection of privacy and accountability. The findings indicate that digitalization should not be evaluated solely in terms of technological performance but through an integrated framework incorporating security, sustainability, resilience, economic feasibility, and lifecycle performance. The study further identifies opportunities for integrating artificial intelligence, edge computing, digital twins, privacy-preserving analytics, and energy-efficient cybersecurity into future infrastructure systems. The review provides a conceptual foundation for developing infrastructure that is not only intelligent and connected but also secure, sustainable, adaptive, and resilient. Keywords: Digital transformation; Sustainable infrastructure; Secure infrastructure; Connected vehicles; VANETs; Privacy preservation; Cybersecurity; Intelligent construction; Digital inspection; 3D-printed concrete; Supply-chain resilience; Zero-trust security; Blockchain; Artificial intelligence; Digital twins.
Madhab Chandra Jena, Om Krishna Jena· International Journal of Cre...· 0 citations
Abstract The integration of Internet of Things (IoT) and Digital Twin (DT) technologies provides a transformative paradigm for intelligent monitoring and predictive maintenance in industrial environments. Traditional environmental control systems rely on reactive architectures, leading to potential equipment failure before corrective actions are deployed. This paper presents a low-cost, real-time Environmental Digital Twin architecture designed to shift facility management from reactive to predictive. Utilizing a dual-node edge computing architecture—featuring an ATmega2560 for real-time spatial mapping and physical actuation, paired with an ESP32 for wireless network bridging—the physical system streams high-fidelity telemetry and proximity data. Simultaneously, a full-stack software architecture featuring a Python-driven backend and a React-based WebSocket dashboard provides low-latency visualization and algorithmic threshold monitoring. The system actively logs historical temperature and humidity data to forecast critical thermal breaches, proving that enterprise-grade predictive analytics can be achieved using accessible, scalable hardware.
Hayatullah Abdulwahab· Zenodo (CERN European Organi...· 0 citations
Multi-tenant Software-as-a-Service (SaaS) platforms rely on webhook change notifications from cloud APIs such as Microsoft Graph to synchronize calendar and resource-booking data in near-real time. Empirical analysis reveals a structural failure in this model, which we term webhook event amplification: a single state mutation triggers a burst of unordered notifications carrying no deduplication token. Controlled measurement shows the provider delivering approximately nine times the notifications the subscription model warrants, reaching a mean of 53 notifications per mutation in the most severe configuration. Left unmitigated, this exhausts downstream compute, degrades observability, and introduces race conditions that compromise transactional idempotency. Because providers offer no native suppression and delta queries target periodic synchronization rather than real-time deduplication, remediation must occur at the subscriber edge. This paper introduces the Distributed Notification Broker (DNB), which interposes a four-stage filtering pipeline between the webhook source and downstream consumers, combining tenant-isolated partition-keyed streaming, delta-validated event propagation, and content-hash business-change detection so that only verified, business-relevant changes propagate. Empirical evaluation over a 78-day observation period demonstrates an 88% reduction in downstream processing volume, a substantial reduction in concurrency-induced race conditions restoring system stability, an 89% reduction in volume-attributable infrastructure cost, and a 68% reduction in total infrastructure cost.
Aayush Pandey· Zenodo (CERN European Organi...· 0 citations
We introduce the Cognitive Integrity Score (CIS), an operational, real-time topological health diagnostic for deterministic simplicial associative memory networks. In parallel with significant advances in uncertainty quantification, semantic entropy, process-supervised verification, and metacognitive reinforcement learning for autoregressive foundation models, deterministic geometric memory complexes require exact, zero-overhead structural invariants. We demonstrate that the sequence of Betti numbers (β0, β1, β2, β3, β4), computed via harmonic eigendecomposition of combinatorial Hodge Laplacians Δk = ∂kT ∂k + ∂k+1 ∂k+1T, directly characterizes fundamental structural failure modes: β0 > 1 identifies concept space fragmentation; β1 >> 0 detects circular reasoning loops and associative trapping; and β2 >> 0 reveals relational voids (missing factual bridges). We formulate a multiplicatively gated Cognitive Integrity Score (CIS) combining low-order harmonic invariants with algebraic graph connectivity (λgap), designed to enforce strictly monotonic degradation under progressive topological decay. On grounded associative memory retrieval benchmarks across multi-seed trials (S = 10, N = 3,000 queries), CIS demonstrates strong predictive rank correlation with actual multi-hop query accuracy (ρ = 0.9710, p < 10-37). While global edge density provides an effective heuristic under uniform random attrition, CIS complements global density measures by remaining uniquely sensitive to targeted bottleneck failures that leave overall edge density largely unchanged. Furthermore, formal query chain admissibility evaluated via orthogonal projection onto harmonic retrieval subspaces, governed by boundary closure (∂2 ≡ 0), provides exact deterministic query refusal without statistical hallucination. Finally, we showcase sub-millisecond execution (< 0.05 ms on standard CPU hardware) via live discrete exterior calculus telemetry on an interactive 60 FPS engine. Related Work & Prior Art: The σ-Constant: A Universal Algebraic Invariant for Energy Propagation in d-Dimensional Simplicial Lattices (10.5281/zenodo.20350425) The xd = x + 1 Hierarchy: Cross-Dimensional Spectral Validation on Ad Root Lattices (10.5281/zenodo.20692936) The Lattice Octave: A Characteristic-Delay Model and Growth-Rate Partition on Simplicial Lattices (10.5281/zenodo.22181883)
Casey Lee Race, Inc. Calera Computing· Zenodo (CERN European Organi...· 0 citations
What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduAug 31, 2026
With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.
MIT News · Artificial Intelligence· news.mit.eduAug 27, 2026
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
