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877 published stories · page 43 of 59

Model-prefilled gain

Into the spider’s lair: how an Australian film-maker made an impossible documentary with AI

Scene: a dimly lit underground burrow. A giant Amazonian tarantula and a tiny dotted humming frog share the space, an unlikely duo captured in extraordinary detail. Except, they haven’t been. Guardians of the Burrow, a short “wildlife documentary” by the Australian digital content designer Jodie Heenan, is entirely AI generated. At the weekend it won a prize in the Omni international AI film festival, adjudicated by a panel led by The Crow and Dark City director – and AI advocate – Alex Proyas. The documentary d…

The Guardian · Media & Arts

Into the spider’s lair: how an Australian film-maker made an impossible documentary with AI

Both readings

Reproducibility and Validation Challenges in AI-Driven Scaffold Design for Bone Regeneration

Artificial intelligence (AI) is increasingly applied to bioink formulation and bioprinting process control in tissue engineering (TE). Yet, translational progress remains constrained by small datasets, limited cross-platform validation, and weak links between computational predictions and biological outcomes. This review critically evaluates experimentally validated AI applications across scaffold-based bone regeneration, spanning materials design, fabrication control, and biological assessment. Physics-informed…

Health

Model-prefilled gain

China wants to solve the hardest problem in robotics – making hands

Human hands – nimble, nerve-filled appendages that are the most flexible part of the human skeleton – are exceptionally complex. Many tasks that most people can do largely without thinking, from tying a pair of shoelaces to buttoning up a shirt, in fact require a complex set of neurological instructions and precise choreography. In thousands of years of human history, no machine has been able to truly replicate human’s greatest tool. But now, as artificial intelligence (AI) races forwards, some companies think t…

Other

Evidence-backed problem

AI-altered images on birdwatching forums putting research at risk

For many birdwatchers, recording a species outside its normal range is the holy grail. In the UK, the discoveries often make national headlinesThe western reef heron, for example, usually found in Africa and southern Europe, spotted in a seaside town in north Wales in June, which was widely celebrated on birding forums. But a new scourge is threatening to disrupt the fun: AI slop. Scientists are appealing to birders to limit their use of AI when editing images over fears that it could undermine the credibility o…

Science

$A CT-based deep learning model for the automated risk stratification of refractory Mycoplasma pneumoniae pneumonia in children$

Evidence-backed gain

A CT-based deep learning model for the automated risk stratification of refractory Mycoplasma pneumoniae pneumonia in children

The accurate identification of children with refractory Mycoplasma pneumoniae pneumonia (RMPP) remains challenging. This study aimed to develop a transformer-based model utilizing clinically indicated chest computed tomography (CT) to stratify pediatric RMPP risk at a critical decision point. Non-contrast chest CT data from a multicenter retrospective cohort of 1224 pediatric patients with Mycoplasma pneumoniae pneumonia who underwent clinically indicated CT were used to develop a transformer-based deep learning…

Health

Both readings

A Framework for Future Human Resource Management Individual Competencies: An Integrative Review

The advent of automation, artificial intelligence and disruptive technologies has affected the role of the Human Resource Management (HRM) professionals and taken over some HRM functions thereby imposing new sets of competencies for HRM professionals. Yet, there is limited research on the full spectrum of competencies needed to execute the HRM function successfully in an increasingly technologically dynamic environment. Hence, the purpose of this research was to develop a framework for future HRM individual comp…

Labor

Evidence-backed gain

Integrating AI and cloud-edge technologies for music creation in educational and performance domains

This paper provides a systematic exploration of Artificial Intelligence (AI) for music generation within a cloud-edge synergy architecture (i.e. a coordinated cloud–edge computing paradigm where the cloud handles compute-intensive training and high-fidelity generation, while the edge supports latency-sensitive and privacy-critical inference and interaction), focusing on its deep integration and practical applications across educational and performance ecosystems. It begins by reviewing the evolution of key techn…

Media & Arts

Revisiting the <i>Six Human-Centered Artificial Intelligence Grand Challenges</i> in the Age of Generative AI

Generative AI (GenAI) has shifted AI capabilities from discriminative prediction to creative interaction, offering opportunities to augment productivity and innovation. However, realizing these benefits requires navigating risks where development outpaces governance. This article revisits the Six Human-Centered AI (HCAI) Grand Challenges to analyze their relevance in the generative era. Critical new requirements are identified: preserving human autonomy, ensuring operational safety against non-deterministic outp…

Policy

Automation and Sustainability—The Impact of AI on Energy Consumption and Other Key Features of Industry 4.0/5.0 Technologies

Automation and sustainability are closely intertwined in the evolution of Industry 4.0 and 5.0, where artificial intelligence (AI) plays a key role in transforming energy consumption and production efficiency. For Industry 4.0, AI-based automation has optimized production, logistics, and resource management, reducing waste and improving throughput through predictive analytics and intelligent control systems. These systems have enabled energy-efficient production lines by automatically adjusting processes to mini…

Climate

Automation and Sustainability—The Impact of AI on Energy Consumption and Other Key Features of Industry 4.0/5.0 Technologies

Generative AI and Media Content Creation: Investigating the Factors Shaping User Acceptance in the Arab Gulf States

This article aims to investigate the factors that affect behavioural intention (BI) and user behaviour (UB) among Arabian users of generative artificial intelligence (GenAI) applications in the context of media content creation. The study’s theoretical framework is grounded in the unified theory of acceptance and use of technology (UTAUT2). A sample of 496 users was analysed using the partial least squares structural equation modelling technique (PLS-SEM). The results revealed that BI is significantly influenced…

Media & Arts

Challenges of Artificial Intelligence Development in the Context of Energy Consumption and Impact on Climate Change

With accelerating climate change and rising global energy consumption, the application of artificial intelligence (AI) and machine learning (ML) has emerged as a crucial tool for enhancing energy efficiency and mitigating the impacts of climate change. However, their implementation has a dual character: on one hand, AI facilitates sustainable solutions, including energy optimization, renewable energy integration and carbon reduction; on the other hand, the training and operation of large language models (LLMs) e…

Climate

Bias in medical AI: Implications for clinical decision-making

Biases in medical artificial intelligence (AI) arise and compound throughout the AI lifecycle. These biases can have significant clinical consequences, especially in applications that involve clinical decision-making. Left unaddressed, biased medical AI can lead to substandard clinical decisions and the perpetuation and exacerbation of longstanding healthcare disparities. We discuss potential biases that can arise at different stages in the AI development pipeline and how they can affect AI algorithms and clinic…

Health

Digital Twins’ Advancements and Applications in Healthcare, Towards Precision Medicine

This review examines the significant influence of Digital Twins (DTs) and their variant, Digital Human Twins (DHTs), on the healthcare field. DTs represent virtual replicas that encapsulate both medical and physiological characteristics-such as tissues, organs, and biokinetic data-of patients. These virtual models facilitate a deeper understanding of disease progression and enhance the customization and optimization of treatment plans by modeling complex interactions between genetic factors and environmental inf…

Health

Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications

The current study investigates the robustness of deep learning models for accurate medical diagnosis systems with a specific focus on their ability to maintain performance in the presence of adversarial or noisy inputs. We examine factors that may influence model reliability, including model complexity, training data quality, and hyperparameters; we also examine security concerns related to adversarial attacks that aim to deceive models along with privacy attacks that seek to extract sensitive information. Resea…

Health

Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications

Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

We are witnessing a novel era of creativity where anyone can create digital content via prompt-based learning (known as prompt engineering). This article investigates prompt engineering as a novel creative skill for creating AI art with text-to-image generation. In three consecutive studies, we explore whether crowdsourced participants can (1) discern prompt quality, (2) write prompts, and (3) refine prompts. We find that participants could evaluate prompt quality and crafted descriptive prompts, but they lacked…

Media & Arts