Security engineers often joke that certificates are invisible until they break something important. Yet in modern infrastructure, certificates quietly enable nearly every secure interaction. From service-to-service communication to machine identity, they form the backbone of digital trust. What has changed is not their importance, but how long they are allowed to exist. Across the industry, long lived certificates are giving way to ephemeral certificates that are short lived, automated, and continuously rotated. This shift reflects a growing recognition […]

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P vs NP is often approached as a question about algorithms and bounds: either exhibit a polynomial-time decider for an NP-complete problem or prove that no such decider exists. This paper proposes a different lens: treat P = NP as a transport property — do “reasons” (the operational structure that makes a solver succeed) travel across polynomial reductions in a way that remains auditable and stable? We frame this through the Temporal State Machine (TSM) kernel of Compositional […]

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A large number of children experience preventable developmental delays each year, yet the deployment of machine learning in new countries has been stymied by a data bottleneck: reliable models require thousands of samples, while new programs begin with fewer than 100. We introduce the first pre-trained encoder for global child development, trained on 357,709 children across 44 countries using UNICEF survey data. With only 50 training samples, the pre-trained encoder achieves an average AUC of 0.65 (95% CI: […]

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Key Highlights: On January 1, 2026, Saudi Arabia officially laid the foundation stone for the Hexagon Data Centre in Riyadh. While it’s easy to get lost in the massive numbers, a 480-megawatt capacity, a 30-million-square-foot site, and a Tier IV global rating, the real story isn’t about the architecture. It’s about the death of the waiting room. In practical terms, that means fewer forms, fewer applications and fewer moments where citizens are required to prove information the state […]

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Despite strong performance in data-rich regimes, deep learning often underperforms in the data-scarce settings common in practice. While foundation models (FMs) trained on massive datasets demonstrate strong generalization by extracting general-purpose features, they can still suffer from scarce labeled data during downstream fine-tuning. To address this, we propose GeLDA, a semantics-aware generative latent data augmentation framework that leverages conditional diffusion models to synthesize samples in an FM-induced latent space. Because this space is low-dimensional and concentrates task-relevant information […]

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arXiv:2602.09204v1 Announce Type: new Abstract: Robust navigation in changing marine environments requires autonomous systems capable of perceiving, reasoning, and acting under uncertainty. This study introduces a hybrid risk-aware navigation architecture that integrates probabilistic modeling of obstacles along the vehicle path with smooth trajectory optimization for autonomous surface vessels. The system constructs probabilistic risk maps that capture both obstacle proximity and the behavior of dynamic objects. A risk-biased Rapidly Exploring Random Tree (RRT) planner leverages these maps to generate […]

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User-driven privacy allows individuals to control whether and at what granularity their data is shared, leading to datasets that mix original, generalized, and missing values within the same records and attributes. While such representations are intuitive for privacy, they pose challenges for machine learning, which typically treats non-original values as new categories or as missing, thereby discarding generalization semantics. For learning from such tabular data, we propose novel data transformation strategies that account for heterogeneous anonymization and evaluate […]

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arXiv:2601.08954v1 Announce Type: new Abstract: This chapter examines how data analytics can be leveraged to enhance immersive teacher simulations, situating this inquiry within the broader learning sciences discourse on embodied cognition, data-informed feedback, and teacher professional learning. It explores both conceptual foundations and empirical cases to illustrate how analytics serve as mediational tools that connect immersive experiences with reflective teaching practice. The chapter unfolds in multiple sections: (1) The Innovation Journey: An Overview of Immersive Teacher Simulations outlines […]

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Key Highlights: Meta has been under the European Commission’s radar for multiple reasons in the past. Now, it seems Facebook’s parent company is yet again in hot water in the EU. This time, the issue that the EC has flagged is related to access for third-party AI assistants inside WhatsApp. Late last year, the EU launched a probe into the matter. At the time, the EC said that its investigation would cover all regions in the EU except […]

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