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Fintech Asia News Feed

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05May 26
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Artificial Intelligence and Machine Learning are rapidly transforming the way industries function. From healthcare and finance to e-commerce and automation, organisations are increasingly relying on data-driven insights and intelligent systems to improve efficiency and decision-making. This growing reliance on AI-driven technologies has significantly increased the demand for skilled professionals who can design, build, and manage

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05May 26
transformer-assisted-hierarchical-deep-reinforcement-learning-for-energy-and-spectrum-efficient-mimo-mc-cdma-in-6g-networks-–-scientific-reports

Transformer-assisted hierarchical deep reinforcement learning for energy and spectrum efficient MIMO-MC-CDMA in 6G networks – Scientific Reports

Article Open access Published: 05 May 2026 K. R. Saranya1, Y. Suganya1, L. Josephine Usha1 & … P. Valarmathi2  Scientific Reports , Article number:  (2026) Cite this article We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there

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04May 26
when-ai-breaks-the-news:-trust-cannot-be-automated

When AI breaks the news: Trust cannot be automated

There are many ways both human rights and freedom of expression could easily vanish. Generative AI is just the latest mechanism pulling journalism further away from sustainability, but it may be the most disruptive yet. Increasingly, AI systems sit between newsrooms and audiences, answering users directly rather than referring them to original reporting. In the

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04May 26
why-artificial-intelligence-displacement-threatens-medical-specialties

Why artificial intelligence displacement threatens medical specialties

Diagnostic radiology, as a physician-staffed specialty, will not exist in its current form within 20 years. Neither will diagnostic pathology. Neither, in all likelihood, will the outpatient model of endocrinology or general internal medicine as we currently understand it. These are not fringe predictions from technologists who have never set foot in a hospital; they

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