AI Assisted AR Assembly: Object Recognition and Computer Vision for Augmented Reality Assisted Assembly

The article discusses the limitations of saliency maps used in deep learning for visual explanations. It highlights the lack of consensus on their purpose and alignment with user queries, which affects their evaluation and utility. To address this, the authors propose the Reference-Frame × Granularity (RFxG) taxonomy, which categorizes saliency explanations based on two axes: Reference-Frame, distinguishing between pointwise and contrastive explanations, and Granularity, ranging from fine-grained to coarse-grained interpretations. This framework aims to improve the evaluation metrics for salie…

Disney star has introduced AI avatars representing deceased individuals, marking a significant development in the intersection of entertainment and artificial intelligence. This debut showcases the potential of AI technology to create lifelike representations of those who have passed away, raising questions about ethics and the future of digital personas. The event took place on November 17, 2025, and is expected to attract attention from both fans and industry experts alike.

The article reviews the work titled 'Exploring metaphors of AI: visualisations, narratives and perception,' highlighting the contributions of IceMing & Digit and Stochastic Parrots. It discusses how visual and narrative metaphors influence the understanding of artificial intelligence (AI). The research emphasizes the importance of these metaphors in shaping perceptions and fostering better images of AI, which is crucial in a rapidly evolving technological landscape. The work is licensed under CC-BY 4.0.

As passenger volumes surge, managing airport technology has become increasingly complex. A new wave of AI models is emerging to assist in synchronizing various systems within the airport tech stack, aiming to enhance operational efficiency and improve the overall passenger experience.

In 2025, the legal system began to intervene in the evolution of artificial intelligence (AI), establishing enforceable regulations to ensure responsible development. This shift indicates a growing recognition of the need for oversight in AI technologies, which have rapidly advanced and raised ethical concerns. The involvement of legal frameworks aims to balance innovation with accountability, addressing potential risks associated with AI applications in various sectors.

ADaSci has launched the Agentic AI Bootcamp for Leaders, aimed at enhancing AI capabilities among individuals and organizations. The program offers opportunities for certification and skill upgrades in AI and data science, catering to the growing demand for expertise in these fields.

The article presents RETROFIT, a novel continual learning method designed for security applications. Traditional deep learning models often struggle to adapt to evolving threat landscapes, leading to performance degradation. RETROFIT addresses this by enabling effective knowledge transfer without the need for historical data, thus mitigating the challenges of forgetting while integrating new information.

NervePool is a newly proposed pooling layer designed for deep learning applications involving graph-structured data. It focuses on simplicial complexes, which extend traditional graphs by incorporating higher-dimensional simplices. This innovation aims to enhance the modeling of complex relationships while addressing issues such as computational efficiency and overfitting. The pooling layer operates through a learned hierarchical representation, allowing for effective down sampling and information compression.