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Uncertainty-Calibrated Explainable Artificial Intelligence for Fetal Ultrasound Plane Classification: A Systematic Review
arXiv:2601.00990v3 Announce Type: replace-cross Abstract: Fetal ultrasound is the cornerstone of antenatal care, and accurate recognition of a small set of standard anatomical planes underpins biometry, growth surveillance, and detection of structural anomalies. Deep learning classifiers now match or exceed expert accuracy on curated benchmarks, but most remain opaque and miscalibrated, leaving clinicians without the calibrated confidence or faithful explanations needed for safe decision...
Leiden Declaration on Artificial Intelligence and Mathematics
Declaration text Leiden Declaration on Artificial Intelligence and Mathematics Preamble Technological developments have repeatedly transformed the practice of mathematics. Recent artificial intelligence technologies, including symbolic and neural methods for the generation and formalization of mathematics, may already have initiated a significant chapter in this long history. Among researchers, artificial intelligence has produced a wide range of reactions: enthusiasm for its potential to...
Generation AI: Schools in Asia are embracing artificial intelligence
The schools in Asia embracing artificial intelligence in classrooms Sun 31 May 2026 at 5:12am Anaiya Singhvi loves school, but she often finds chemistry tough going. "It's kind of hard to visualise in real life since it's about molecules and atoms," the Singapore-based secondary school student said. "I've been using AI to help me with that."
Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer
arXiv:2407.10247v3 Announce Type: replace Abstract: The integration of Artificial Intelligence (AI) into corporate strategy has become critical for organizations seeking to maintain competitive advantage in the digital age. Although organizations increasingly rely on AI as a strategic and organizational resource, existing C-suite roles remain only partially equipped to govern, integrate, and leverage it coherently at the enterprise level. Organizations vary in their responses.
Cognitive Threat Intelligence and Explainable Federated Security Analytics for distributed Infrastructure Systems
arXiv:2606.05701v1 Announce Type: new Abstract: The increasing adoption of distributed infrastructure systems, cloud computing, Internet of Things (IoT) technologies, and edge-based architectures has significantly expanded the cybersecurity attack surface and introduced increasingly sophisticated cyber threats. Conventional centralized intrusion detection approaches often face challenges related to scalability, data privacy, communication overhead, and limited transparency in artificial...
What is Missing? Explaining Neurons Activated by Absent Concepts
arXiv:2603.09787v2 Announce Type: replace Abstract: Explainable artificial intelligence (XAI) aims to provide human-interpretable insights into the behavior of deep neural networks (DNNs), typically by estimating a simplified causal structure of the model. In existing work, this causal structure often includes relationships where the presence of a concept is associated with a strong activation of a neuron. For example, attribution methods primarily identify input pixels that contribute most...
From Network Experience to Subscriber Retention: An Explainable AI Framework for Mobile Operators
arXiv:2606.04838v1 Announce Type: new Abstract: This article presents a framework for the prediction of subscriber churn in mobile operators also known as telecommunication operators (or telcos). This framework covers relevant aspects of data-driven approaches using explainable artificial intelligence and machine learning. To demonstrate the robustness of the framework, we implement it on real data from one of the globally leading telcos with tens of millions of subscribers and show results...
OPTIMUS-Prime: Minimal and Sufficient Concept Explanations for Deep Vision Models
Announce Type: new Abstract: The growing demand for transparency in automated decision-making has propelled eXplainable Artificial Intelligence (XAI) to the forefront of machine learning research. In computer vision, however, existing explanation methods often prioritize end-user accessibility at the expense of formal guarantees, leaving a critical gap between practical utility and theoretical rigor. In this paper, we address this gap by introducing OPTIMUS, a novel framework for generating...
Apple Expected to Detail Its A.I. Plans at Conference
For the second time, the company is expected to explain its artificial intelligence plans. Unlike some rivals, it is not reorganizing around the technology.
Apple Expected to Detail Its A.I. Plans at Conference
For the second time, the company is expected to explain its artificial intelligence plans. Unlike some rivals, it is not reorganizing around the technology.