artificial intelligence

Boundary-consistent screening of electricity, carbon and water footprints for generative-AI inference: a reproducible methodological note

Environmental footprint estimates for generative artificial-intelligence (AI) inference are often compared despite differences in workload, reporting statistic and infrastructure accounting boundary. This methodological technical note proposes a conservative screening protocol for deciding whether published electricity...

Quantum-Inspired Reconfigurable Computing for Accelerated Matrix Computations in High-Performance Embedded Systems

The emergence of data-hungry systems in the form of artificial intelligence, real-time signal processing, and scientific computing systems inside embedded systems has set extremely high requirements to the computational capabilities, electrical energy efficiency and flexibility. The computational backbone of many of th...

Intellectual property (IP) laws' recognition of the evolving concept of 'art', including in the context of artificial intelligence (AI)-assisted creation, and its impacts on the boundaries between different IP rights, and on the role of those rights in enabling innovation, investment, and the monetization of creative outputs - Belgian report

GALAPAGOS

Explainable AI identifies recombination and chromatin environment as key predictors of subgenome evolution in maize and Brassica

Polyploidy, or whole genome duplication, reshapes genomes through biased gene loss and regulatory rewiring, yet the drivers of biased fractionation among subgenomes remain unclear. Using maize and Brassica rapa as model allopolyploids, we compiled 60 genomic and epigenomic features in maize and 45 in B. rapa and constr...

Generative Artificial Intelligence and University Students' Critical and Higher-Order Thinking Outcomes: A PRISMA-Based Systematic Review and Thematic Analysis

This review contributes a dimension-level synthesis of generative AI and higher-order thinking, identifies the pedagogical conditions associated with favorable and unfavorable outcomes, and documents the heterogeneity of outcomes across studies, offering an evidence-informed framework for educators, curriculum designer...

AI-Enabled Autonomous Area-Keeping for Underwater Vehicles

Autonomous Underwater Vehicles (AUVs), commonly known as submarine drones, provide a critical capability for modern naval operations requiring persistent presence in contested and GPS denied environments. This paper addresses autonomous positioning and area keeping of AUVs within predefined underwater zones using integ...

The Role of Using Artificial Intelligence Tools and Technologies in Detecting Forgery Crimes and Violations, Including Deep Fake Attacks " دور استخدام أدوات وتقنيات الذكاء الإصطناعي في إكتشاف جرائم وانتهاكات التزويير والتزييف العميق "

Potential to improve early detection of lung cancer through expansion of focused and opportunistic screening approaches: a scoping review focusing on potential expansion of screening risk factors and adoption of artificial intelligence models.

A scoping review was conducted to explore two potentially complementary approaches to enhance LC screening, including studies involving AI-augmented imaging (CXR or LDCT) to improve workflow, triage, and opportunistic nodule detection.

Artificial intelligence-based modeling of oxidative stress biomarkers: a comparison with the integrated biomarker response (IBR) approach

Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes

Recent work shows that Large Language Models (LLMs) encode more information in their activations than they show in their responses. We ask whether the information contained in activations could be used as a source of measurement for the presence of concepts. We compare two algorithms for extraction of concepts, i.e., R...

Need or Reputation? Region, National Income, and Academic Status in LLM Gatekeeping Decisions

Equitable access to scientific knowledge often depends on informal gatekeeping decisions, particularly when resources such as paywalled articles, nonpublic datasets, or a researcher's CV must be shared selectively. We introduce a controlled simulation framework in which LLM-based professors must grant access to only on...

AI Alignment and Fiduciary Obligation

Advanced AI assistants engage users in extended interactions across a widening range of roles, including advice, decision support, collaboration, learning, emotional support, and companionship among others. Current alignment efforts consider what alignment criteria should govern these relationships, drawing on moral tr...