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AI adoption in financial services has effectively become universal–and the institutions still treating it as an experiment are now the outliers. According to Finastra’s Financial Services State of the Nation 2026 report, which surveyed 1,509 senior executives across 11 markets, only 2% of financial institutions globally report no use of AI whatsoever.  The debate is over. The question now is what comes next. For CIOs and technology leaders, the findings paint a picture that is equal parts opportunity […]

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At MWC 2026 in Barcelona, SK Telecom outlined how it is rebuilding itself around AI, from its network core to its customer service desks. The shift goes beyond adding new AI tools. It involves rewriting internal systems, expanding data centre capacity to the gigawatt scale, and upgrading its own large language model to more than one trillion parameters. At a press conference during MWC 2026, SK Telecom CEO Jung Jai-hun outlined what the company calls an “AI Native” […]

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Define the perrank of an m×n matrix M to be the size of a largest square submatrix with nonzero permanent; if this is equal to m or n, then we say M has full perrank. We derive numerous results on the perrank of a matrix by methods of commutative algebra.

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We propose that the first four non-trivial zeros of the Riemann zeta function satisfy the exact relation (8pi^2(gamma_4/gamma_1)^2 = 366), equivalently (gamma_4/gamma_1 = sqrt{183}/(2pi)). This relation emerges from three fundamental considerations: (1) the geometric framework of the Riemann-Möbius-Enneper (RME) triad, (2) the constructive interference condition derived from the pendulum-zeta isomorphism with harmonic parameter (k=3), and (3) the self-consistency condition (K_g cdot C = 1) where (K_g) and (C) are explicit functions of the zeros. We further explore a […]

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This study addresses the highly dynamic runtime environment of microservice systems, the complex inter-service dependencies, and the hidden nature of anomalous behaviors. It proposes an anomaly detection method that integrates a meta learning mechanism. Based on multi-source monitoring data, the microservice execution process is modeled as a continuously evolving state sequence. A unified representation learning strategy is used to capture system evolution under normal conditions. The degree of state deviation is then adopted as the basis for anomaly […]

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In this study, we propose an RL-guided fuzzing scheduler that learns optimal mutation ordering and seed prioritization based on kernel coverage reward signals. The agent observes execution depth, subsystem transitions, and historical crash density to adapt exploration strategies. On Linux 5.10, the RL-fuzzer triggers 22% more unique crashes and 31% more deep paths compared with AFL-style schedulers. It identifies 7 previously unknown vulnerabilities, including mismanaged capability checks. Despite additional overhead from RL inference, throughput remains within 85% of […]

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Deterministic and probabilistic models of measured quantities, processes and fields in production process control systems, as well as physical and probabilistic measures, make it possible to form the measurement result and give it the properties of objectivity and reliability. The issue of improving and developing models and measures in measurement methodology plays an increasingly important role in achieving high measurement accuracy in control systems and the reliability of decision-making by expert systems in production processes. The measure is […]

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Machine Learning (ML) is fundamentally reshaping education, offering tools to personalize instruction, automate assessment, and predict student outcomes. This paper provides a comprehensive overview of ML’s role in education, tracing its evolution from early computer-assisted instruction to today’s generative artificial intelligence (AI). We explore key applications, including intelligent tutoring systems, early warning systems for at-risk students, and automated essay scoring, highlighting their potential to address the long-standing challenge of individualized learning at scale. However, this technological integration is […]

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