Microsoft puts the power of AI in the hands of everyday non-technical Joes. It’s a nice idea, and a surefire recipe for security issues.
House backs Biosecure Act aimed at Chinese companies
A diluted form of the Biosecure Act appears close to becoming law, after the House on Wednesday approved a defense bill that includes the measure. Biosecure would restrict federal contracts with some Chinese biotech firms …
New nasal vaccine could stop whooping cough spreading, trial finds
A NIHR-backed trial has found that BPZE1, a nasal spray vaccine, can block whooping cough bacteria from colonising the nose and throat, offering hope for preventing transmission and limiting outbreaks A new study backed by the NIHR reports encouraging early results for a nasal vaccine designed to better control whooping cough. Researchers say the experimental […]
Editorial: Socioeconomic inequalities in digital health
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Advances in machine and deep learning for ECG beat classification: a systematic review
The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development of artificial intelligence (AI) in the medical field, ECG beat classification has emerged as a key area of research for performing accurate, automated, […]
Data-Driven Learnability Transition of Measurement-Induced Entanglement
arXiv:2512.01317v2 Announce Type: replace-cross Abstract: Measurement-induced entanglement (MIE) captures how local measurements generate long-range quantum correlations and drive dynamical phase transitions in many-body systems. Yet estimating MIE experimentally remains challenging: direct evaluation requires extensive post-selection over measurement outcomes, raising the question of whether MIE is accessible with only polynomial resources. We address this challenge by […]
Visual Heading Prediction for Autonomous Aerial Vehicles
arXiv:2512.09898v1 Announce Type: cross Abstract: The integration of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is increasingly central to the development of intelligent autonomous systems for applications such as search and rescue, environmental monitoring, and logistics. However, precise coordination between these platforms in real-time scenarios presents major challenges, particularly when external localization infrastructure […]
SensHRPS: Sensing Comfortable Human-Robot Proxemics and Personal Space With Eye-Tracking
arXiv:2512.08518v2 Announce Type: replace-cross Abstract: Social robots must adjust to human proxemic norms to ensure user comfort and engagement. While prior research demonstrates that eye-tracking features reliably estimate comfort in human-human interactions, their applicability to interactions with humanoid robots remains unexplored. In this study, we investigate user comfort with the robot “Ameca” across four experimentally […]
The Gender Code: Gendering the Global Governance of Artificial Intelligence
arXiv:2512.09570v1 Announce Type: cross Abstract: This paper examines how international AI governance frameworks address gender issues and gender-based harms. The analysis covers binding regulations, such as the EU AI Act; soft law instruments, like the UNESCO Recommendations on AI Ethics; and global initiatives, such as the Global Partnership on AI (GPAI). These instruments reveal emerging […]
Lazy Diffusion: Mitigating spectral collapse in generative diffusion-based stable autoregressive emulation of turbulent flows
arXiv:2512.09572v1 Announce Type: cross Abstract: Turbulent flows posses broadband, power-law spectra in which multiscale interactions couple high-wavenumber fluctuations to large-scale dynamics. Although diffusion-based generative models offer a principled probabilistic forecasting framework, we show that standard DDPMs induce a fundamental emphspectral collapse: a Fourier-space analysis of the forward SDE reveals a closed-form, mode-wise signal-to-noise ratio (SNR) […]