Fintech Asia News Feed
Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.
FDA wants feedback on how to regulate generative AI in medicine
The U.S. Food and Drug Administration is mulling how to best regulate generative artificial intelligence in medicine and is seeking feedback from the public on the matter. Authorities are focused on how such “GenAI”—a type of AI that creates new content such as text, images and audio—can be utilized in medical devices. The FDA wants
Major Frontier Model Providers Adopt Watermarking Tech to Comply with EU Regulation
Beginning August 2, 2026, regulatory enforcement under the EU AI Act Article 50 officially took effect across member states, mandating that providers of general-purpose and generative AI systems mark synthetic outputs in a machine-detectable format. In response, major foundation model vendors rolled out statistical text watermarking algorithms and cryptographic metadata standards across inference pipelines, immediately
What researchers need to know about AI in scientific publishing
Scientists face constant pressures to maintain a strong publication record. AI tools can make writing easier, but their limitations pose risks for scientific publishing and for authors. The American Society for Biochemistry and Molecular Biology has adopted clear guidelines governing AI-assisted writing in its journals. Because publishers cannot reliably detect AI-generated text, authors must understand
Deep-learning tissue clocks reveal how organs age and leave disease-linked signals in blood
From microscopic tissue changes to a simple blood sample, researchers show how artificial intelligence can map organ-specific aging and uncover biological signatures linked to disease. Study: Histological aging signatures for monitoring tissue-specific aging and disease. Image Credit: Digital Photo / Shutterstock A recent study published in the journal Nature Medicine highlighted age-related molecular changes across
IU researchers advance transparent AI with support from REALLMS
When an AI system labels an image, the source can feel like a black box. IU researchers Zachary Wilkerson, David Leake, and David Crandall are working on a more transparent approach — teaching the AI to find and compare previous examples it finds similar. So what happens when a doctor, engineer, or scientist wants more
Developing a Foundation for AI-Integrated English Teaching – Language Magazine
Artificial intelligence has moved quickly from something teachers experimented with to something that now shapes everyday instructional decisions. While I have written about classroom uses of AI tools and practical entry points for basic use, it has become clear that tips and tricks alone do not prepare educators to work meaningfully with AI. The more
How Much Predictive Signal Is Hidden in a Chess Opening? | HackerNoon
A data-driven investigation into board geometry, player Elo, and the limits of early-game predictions. 1. Introduction: Beyond Another Stockfish Clone How much predictive information is actually hidden in a chess opening? While players and researchers have debated this question for years, turning it into a structured empirical study is no easy task. How do you
Mind over metrics: How can we tell if two brains (or AI models) are alike?
Measuring metrics: The computational literature is littered with competing methods quantifying similarity in neural population codes. Illustration by Scott Balmer The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.








