artificial intelligence

Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training

Navalia is introduced, a framework for Cowork Agents that combines verifiable task synthesis with long-horizon post-training post-training capabilities and generalizes to broader Cowork settings, including general office tasks.

The Geography of Artificial Intelligence Innovation in China

Artificial Human: Genuine Need as a Precondition for Genuine AGI

We argue that a system with substantial processing capacity can be a genuine artificial general intelligence (AGI) — an independent agent rather than a computing system — only if its processing is coupled to a genuine need. We call a system that satisfies this condition an artificial human. Our claims are three. First,...

ARTIFICIAL INTELLIGENCE IN GYNECOLOGICAL ULTRASONOGRAPHY: DIAGNOSTIC CAPABILITIES, CLINICAL VALIDATION, AND LIMITATIONS

Artificial intelligence (AI) is increasingly proposed as an adjunct to gynecological ultrasonography, including assessment of adnexal masses, endometrial lesions, adenomyosis, uterine leiomyomas, and reproductive imaging. However, model discrimination reported in curated datasets does not automatically establish safety...

The AI gaze and imagined places: Co-creation and negotiation with the generative AI assemblage

Generative artificial intelligence (GAI) is increasingly used to produce images of places, yet how users negotiate representations of real locations remains understudied. Building on the tourist gaze, we propose the AI gaze: a technologically mediated way of seeing place that is co-produced through negotiation between...

POLMANITAI: 500 Begriffe für KI, Politik und öffentliche Institutionen

POLMANITAI presents a bilingual conceptual atlas for artificial intelligence, politics, democracy, public administration and governance. Its 500 German-English working entries address institutional mandates, democratic deliberation, policy questions, evidence, options, decision support, rule drafting, public informatio...

Optical neural computing: from fourier optics to integrated photonic artificial intelligence

The growing computational demands of artificial intelligence have accelerated interest in optical computing as a high-speed and energy-efficient alternative to conventional electronic hardware. Fourier optical computing provides an important foundation for this field because operations including convolution, correlatio...

THE EL-RAKHAWI AFFECTIVE-NEURO-SYMBOLIC DEEP LEARNING ARCHITECTURE (E-ANSDLA) A Unified Framework for Emotion-Aware, Explainable, and Causally-Robust Artificial Intelligence in Medicine, Engineering, and Big Data Analytics

The El-Rakhawi Affective-Neuro-Symbolic Deep Learning Architecture (E-ANSDLA) is a unified framework for emotion-aware, explainable, and causally-robust AI in medicine, engineering, and big data analytics. It integrates three synergistic layers: (1) a multimodal affective data ingestion module applying local differenti...

In-silico Drug Designing and Development for Genetic Disorders- A Review

Genetic disorders arise from pathogenic genomic alterations that disrupt essential cellular, biochemical, and physiological functions, collectively imposing a substantial global health burden. Conventional drug discovery for inherited diseases is challenged by complex molecular defects, including loss- or gain-of-funct...

Physics-informed deep learning for few-shot damage localization in carbon fiber reinforced polymer composites under thermal variations

Guided wave (GW)-based damage localization in carbon fiber reinforced polymer (CFRP) composites is fundamentally challenged by thermal variations and sparse sensor configurations, which induce severe baseline distortions and imaging artifacts. Traditional physical algorithms suffer from geometric ambiguity, while purel...

The Changing Architecture of Intellectual Property in the Age of Artificial Intelligence

Artificial intelligence is rapidly encompassing industries and systems of governance, increasing efficiency, automation, and innovation. It has become a vital tool for creating text, images, music, software, and potentially patentable inventions. This rapid advancement in IP is not without risks at every stage of the i...

DESIGNING RESILIENT ENTERPRISE SYSTEMS THROUGH AI-DRIVEN DEPENDENCY MAPPING AND IMPACT ANALYSIS

Enterprise systems are now often spread across a range of hidden technical and organizational dependencies; technical debt can accumulate, configurations can change, and failures can propagate. Redundancy or post-incident recovery alone is not enough for resilience design; such environments require continuously updated...