UK firms can win a significant chunk of the AI chip market | John Browne

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.

Large language models (LLMs) are increasingly utilized for extracting structured information from clinical records. A recent evaluation of 15 open-weight LLMs focused on pathology and radiology reports across six use cases, including colorectal liver metastases and neurodegenerative diseases, conducted in the Netherlands, UK, and Czech Republic. The study compared various prompting strategies and found that top models achieved macro-average scores close to inter-rater agreement, indicating their effectiveness in structured data extraction.

The paper titled 'Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning' addresses the challenge of learning to reach goals in AI environments. It highlights the difficulty of reasoning over long horizons and proposes a method that integrates temporal difference and Monte Carlo approaches to estimate temporal distances between observations. The proposed method demonstrates superior performance in long-horizon tasks, achieving better results than existing methods, even with visual inputs.

The DENTEX challenge, organized in conjunction with the MICCAI 2023 conference, focuses on the development of AI algorithms for the analysis of panoramic X-rays in dentistry. This initiative addresses the challenges of interpreting these images, which can be time-consuming and error-prone. By utilizing various types of annotated data, the challenge aims to enhance the accuracy of dental diagnoses and treatment plans, ultimately improving patient care.