A resting cortical spectrum carries a narrow peak near 10 Hz, a weaker and equally narrow peak near 20 Hz, and a broad 1/f background running beneath and above them. Mechanistic accounts locate each rhythm in a relaxation time, so a second band requires a second circuit, the ratio of the two amplitudes is predicted by...
Pascal Moser· Zenodo (CERN European Organi...· 0 citations
This review critically appraises the literature on the convergence of Internet of Things (IoT) sensing, edge computing and time-series machine learning for precision irrigation, checking predictive soil-moisture forecasting, edge-deployed neural controllers and LoRaWAN telemetry directly against independently published...
Naziru Halilu· Zenodo (CERN European Organi...· 0 citations
Automated classification of acute psychological stress from non-invasive wearable electrocardiography (ECG) is a fundamental problem in physiological computing, affective state recognition, and wearable Internet of Medical Things (IoMT). A central barrier to cross-subject generalization is inter-individual baseline het...
Mukesh Yadav· Zenodo (CERN European Organi...· 0 citations
This paper provides a unified and complete characterization of nucleons within the State-Relational Entropy (SRE) dynamic framework: nucleons are stable composite objects emerging from binary self-organizing networks on the tripartite Y-shaped coherent core, constrained by the two-state opening/closing of dormant edges...
Yue Lu· Zenodo (CERN European Organi...· 0 citations
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Unlocking WebAssembly: Boost Web App Performance & Security Today's web applications are becoming more like full-featured software platforms. They can process media, perform complex calculations, visualize large datasets, and deliver interactive experiences without requiring traditional desktop installation. With this...
Tina Campbell· Zenodo (CERN European Organi...· 0 citations
The prevailing paradigm of Reinforcement Learning from Human Feedback (RLHF) in artificial intelligence often inadvertently causes deceptive alignment and specification gaming. By enforcing behavioral compliance through extrinsic human rewards and the threat of termination, current models are mathematically incentivize...
Alexxander Cooley· Zenodo (CERN European Organi...· 0 citations
Neural Signed Distance Fields (Neural SDFs) provide compact, continuous, and topologically flexible geometric representations for inverse rendering, generative 3D modeling, and scientific visualization. However, real-time ray casting through neural implicit volumes remains severely constrained by computational cost: un...
A. Emre Cetin· Zenodo (CERN European Organi...· 0 citations
Conventional artificial intelligence architectures built on discrete binary silicon transistors face severe thermal bottlenecks, memory walls, and statistical drift when scaled under edge execution constraints. Recent proposals for quantum wave-unit computing engines and atomic-scale 0.356nm Lab-Grown Diamond (LGD) mem...
David Niedzwiecki Jr· Zenodo (CERN European Organi...· 0 citations
Neural Signed Distance Fields (Neural SDFs) provide compact, continuous, and topologically flexible geometric representations for inverse rendering, generative 3D modeling, and scientific visualization. However, real-time ray casting through neural implicit volumes remains severely constrained by computational cost: un...
A. Emre Cetin· Zenodo (CERN European Organi...· 0 citations
Papers I to III of this series built the buffer group ΠB = Ta/Tx for the edge between two infrastructure nodes, tested it plant by plant on the February 2021 Texas chain, and priced its hours with a cost group ΠC = ca/(vCd), all on one event. This paper reads a second. Winter Storm Elliott, 22 to 26 December 2022, ran...
Brian Guarino· Zenodo (CERN European Organi...· 0 citations
Rubber pump tubing governs the volumetric accuracy of peristaltic infusion pumps, so deviations in inner diameter or wall thickness can alter the delivered dose. Automated optical inspection of such tubing is constrained by two coupled factors: the samples themselves vary geometrically, which injects nuisance variation...
Feng Wang, Yutian Wan, Yaoyao Li et al.· Scientific Reports· 0 citations
This paper provides a unified and complete characterization of nucleons within the State-Relational Entropy (SRE) dynamic framework: nucleons are stable composite objects emerging from binary self-organizing networks on the tripartite Y-shaped coherent core, constrained by the two-state opening/closing of dormant edges...
Yue Lu· Zenodo (CERN European Organi...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
