edge computing

The Next Frontier: Security Implications of Future AI Paradigms

The current paradigm of frontier AI continues to yield significant value, but as compute scaling faces potentially diminishing returns, future AI progress is unlikely to rely on a single, isolated breakthrough. The next wave of capability improvements will most likely emerge from a complex mix of extensions, hybrids an...

Biochemical Profiling and Ecotoxicological Assessment of Prunus spinosa L. Fruits from the Cluj Region: Phytochemical Composition, Contaminant Load, and Antioxidant Potential

Prunus spinosa L. (blackthorn) is a widely distributed wild fruit species in Romania with considerable, yet underexplored, potential as a functional food ingredient and natural source of bioactive compounds. This study aimed to characterize the phytochemical composition, mineral and contaminant profiles, and antioxidan...

Guest editorial: Advancing the future of retail operations with cutting-edge technologies

The retail industry is fundamentally changing due to emerging technologies (Morenza-Cinos et al., 2019; Ta et al., 2023). Machine learning (ML) and artificial intelligence (AI) for example, can help retailers improve demand forecasting accuracy (Modgil et al., 2021; Chou et al., 2023) and analyze data in real time, ena...

Ultra-low-power probabilistic graphical computing based on memristors enabling communications signal processing

A probabilistic graphical computing paradigm based on memristors is reported, which not only unifies the framework of Bayesian inference-based baseband signal processing algorithms, but also achieves a substantial improvement in energy efficiency via memristor-based in-memory computing.

MODEL ADOPTION #1801: REJECT — LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.9% to 33. — E8 Intelligence Research

DECISION: REJECT ELEMENT: No element survives — pool density ≥90 filter is a lagging, regime-dependent proxy, not a geometric timing edge. It does not align with E8-node/Gods-Clock rhythm logic; it filters by market state, not by entry timing. EXPECTED IMPACT: +1.6pp win rate is within noise for n=1347 (σ≈1.3pp), and t...

Quantum Game Theory

Since the establishment of von Neumann and Nash's concept of equilibrium, game theory has become a universal language in economics and social sciences. However, classical game theory is deeply rooted in the mechanistic worldview, and its deterministic assumptions, static equilibrium, and individualistic methodology are...

Graph Neural Networks for Quantum State Simulation

Quantum state simulation is a cornerstone of quantum computing, aiming to accurately represent and manipulate the behavior of quantum systems. However, traditional methods of quantum state simulation, such as the Density Matrix Renormalization Group (DMRG) method and the Variational Quantum Eigensolver (VQE), often suf...

MODEL ADOPTION #1801: REJECT — LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.9% to 33. — E8 Intelligence Research

DECISION: REJECT ELEMENT: No element survives — pool density ≥90 filter is a lagging, regime-dependent proxy, not a geometric timing edge. It does not align with E8-node/Gods-Clock rhythm logic; it filters by market state, not by entry timing. EXPECTED IMPACT: +1.6pp win rate is within noise for n=1347 (σ≈1.3pp), and t...

Compact Wideband Frequency Selective Surface for Electromagnetic Shielding in Cloud Computing Hardware and Infrastructure

As clouds with their higher processing density and wireless interconnectivity operate at gigahertz frequency range, they are more vulnerable to electromagnetic interferences. Interference of this kind has the effect of putting the system at risk, causing crosstalk between the components, and even possibly compromising...

Why Fisher's exact test is least exact where it matters most: achieved size, wasted power, and a routing rule for 2x2 tables -- m02d Reproducibility deposit

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 published ver...

An environment-adaptive multi-modal perception edge-AI for real-time robotic fruit harvesting

Achieved size, borrowed power, and a routing rule for R×C contingency-table tests (m02e) -- Reproducibility deposit

When the exact test is least exact, and the χ² default most wrong: achieved size, borrowed power, and a routing rule for R×C tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell, Lowell, MA, USA. ORCID 0009-0004-0855-7222. License: MIT for all code; CC BY...