Fintech Asia News Feed
Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.
26Oct 25
AI Models for Urothelial Neoplasm Classification Validated – Bioengineer.org
In a groundbreaking study, researchers have unveiled the power of artificial intelligence in the realm of digital pathology. A consortium of institutions led by esteemed scientists including J.Y. Park, J. Kim, and Y.J. Kim has embarked on pioneering research aimed at improving the diagnosis and classification of urothelial neoplasms. This work, recently published in the
26Oct 25
Opinion: How will the AI revolution affect career growth in Utah? – Deseret News
Paul is the vice president and dean of the Departments of Computer Science, Software, and Data Analytics at the nonprofit, accredited and online Western Governors University. He lives in Salt Lake County. Like the personal computer and the internet, artificial intelligence (AI) will completely revolutionize how we do work. Faced with the unknown of exactly how
26Oct 25
AI-Related Job Creation Statistics [2025] – About Chromebooks
Artificial intelligence is transforming labor markets worldwide, creating millions of new positions across industries and skill levels. While concerns about automation persist, recent data reveals that AI functions as a net job creator rather than a job destroyer. Current research from leading institutions demonstrates that AI-related employment is expanding rapidly, with projections indicating sustained growth
26Oct 25
Like Something Out of a Sci-Fi Movie, an AI-Controlled Robot Convinced Its Colleagues to …
The boundaries between reality and science fiction continue to blur as artificial intelligence achieves remarkable milestones. A recent experiment has captured the attention of researchers worldwide, demonstrating how AI-powered robots can influence their mechanical peers through sophisticated communication strategies. This groundbreaking development occurred when an intelligent robot successfully persuaded its colleagues to cease operations and
25Oct 25
Modelling transcription with explainable AI uncovers context-specific epigenetic gene … – PubMed
. 2025 Oct 23;21(10):e1011908. doi: 10.1371/journal.pgen.1011908. Online ahead of print. Affiliations PMID: 41129591 DOI: 10.1371/journal.pgen.1011908 Free article Modelling transcription with explainable AI uncovers context-specific epigenetic gene regulation at promoters and gene bodies Kashyap Chhatbar et al. PLoS Genet. 2025 . Free article Abstract Transcriptional regulation involves complex interactions with chromatin-associated proteins, but disentangling these mechanistically
25Oct 25
AI-powered threat intelligence: Predicting cyberattacks before they happen – IBM
Author Rennel Simon Security Specialist Artificial intelligence (AI) is transforming how security teams approach threat detection, prevention and mitigation. But one of the most intriguing and potentially transformative applications of AI in cybersecurity is predicting cyberattacks before they happen. Traditionally, cybersecurity has been a reactive discipline—defending against threats only after they’re identified. However, with the
25Oct 25
Compliance and AI: Inside AI Innovation: Jack Yu on Experian’s Cutting-Edge AI Solutions
What is the role of Artificial Intelligence in compliance? What about Machine Learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. In this episode, Tom Fox interviews Jack Yu, Director of
25Oct 25
Advancing biological taxonomy in the AI era: deep learning applications, challenges, and …
References Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L., Ballard, A.J., Bambrick, J., et al. (2024). Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500. Article CAS PubMed PubMed Central Google Scholar Adjei, K.P., Finstad, A.G., Koch, W., and O’Hara, R.B. (2024). Modelling heterogeneity



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