EASA’s notice of proposed amendment (NPA) 2025-07 on artificial intelligence (AI) represents the first comprehensive attempt to establish a regulatory framework for AI integration across all aviation sectors. Rather than adapting existing regulations, the proposal introduces technology-independent requirements that address the specific challenges AI systems present, including transparency, human oversight, and lifecycle safety assurance. This

I was unsure if my parents would notice that the voice on the other end wasn’t mine — or that it was mine, sort of, but it wasn’t me. The voice said hello, asked my dad how he was doing, and asked again when he didn’t respond quickly enough. “What is that, Gaby?” He realized

For many people who use artificial intelligence, it is easy to ignore the reality of where this technology physically lives: data centers. These massive warehouses filled with computer servers are what make machine learning, social media, and generative AI possible. But many data center locations are chosen because the land is cheap, the residents have

The promise of artificial intelligence has started to become a reality for many brands and merchants. Personalized recommendations, automated customer service, dynamic pricing, and predictive inventory management are some of the AI-driven programs rolling out at scale. But we find that the gap between pilot projects and production-ready AI operations is where many companies stumble.

Image by Author # Introduction   Python and data projects have a dependency problem. Between Python versions, virtual environments, system-level packages, and operating system differences, getting someone else's code to run on your machine can sometimes take longer than understanding the code itself. Docker solves this by packaging your code and its entire environment — Python

References Li, K., Kim, D. J., Lang, K. R., Kauffman, R. J. & Naldi, M. How should we understand the digital economy in Asia? Critical assessment and research agenda. Electron. Commer. Res. Appl. 44, 101004. https://doi.org/10.1016/j.elerap.2020.101004 (2020). Google Scholar  Wood, C. M. Marketing and e-commerce as tools of development in the Asia-Pacific region: A dual

Galux is redefining the future of drug discovery through protein design AI. The company combines deep-learning with the physical principles of ...

Data availability Due to the sensitive nature of patient data, we are not able to make these data publicly available at this time. Code will be made available upon publication. The Corresponding Author is the point of contact. References Ferreira, D. L., Lau, C., Salaymang, Z. & Arnaout, R. Self-supervised learning for label-free segmentation in