ELSA – European Lighthouse on Secure and Safe AI is a European Network of Excellence (NoE) whose 26 members have been conducting outstanding research in the fields of Secure and Safe AI, Technical Robustness and Safety, Privacy-Preserving Techniques and Infrastructure, and Human Agency and Oversight. In June 2025, the network began its expansion. ELSA now welcomes fifteen more members: universities, research institutions, and ELLIS Units. With these, ELSA enhances its expertise in pressing AI research topics and fosters knowledge exchange.

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS could be detected up to 10 years before symptoms appear, offering promise for reliable diagnostic biomarkers.

The integration of advanced high-throughput sequencing technologies, such as whole genome sequencing (WGS) for the early detection of rare diseases, such as ALS, could give clinicians and patients a critical window for medical intervention, ultimately improving outcomes.

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as variational autoencoders with infinitely many latent variables, reducing computational costs and preventing overfitting. By appropriately interrupting the training of the encoder, this approach enabled development of more efficient generative AI, with broad applicability beyond standard diffusion models.

Using machine learning, researchers show how amorphous materials can boost energy transfer in batteries

Penn researchers have developed a groundbreaking AI-powered device that turns ordinary glasses into a smart, energy-efficient health monitor by watching you blink. The device, called BlinkWise, uses radio signals to track eyelid movements with unprecedented detail, all while preserving privacy and using minimal power. The technology opens doors for assessing fatigue, mental workload and eye-related health issues in real-world settings, from long-haul trucking to everyday office work. 

The use of artificial intelligence (AI) in public administration is increasing worldwide—including in the allocation of social services such as unemployment benefits, housing benefits, and social welfare. However, an international research team from the Max Planck Institute for Human Development and the Toulouse School of Economics has shown that it is precisely those who depend on such benefits who are most skeptical about automated decisions. To gain trust and acceptance for AI-supported systems, the perspectives of those affected must be considered.