Fintech Asia News Feed
Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.
Deep learning enabled intelligent robotic system for aeroengine blade surface inspection – Scientific Reports
Article Open access Published: 16 June 2026 Ehtesham Iqbal1, Abdelrahman Youssef1, Samee Ullah Khan1, M. A. Mohammed Eltoum1, Abdallah Mohammad Alkilany1 & … Yusra Abdulrahman ORCID: orcid.org/0000-0003-1211-8498 1,2 Scientific Reports (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
Kirkland’s $500 Million AI Gambit Requires a Cast of Hundreds
Kirkland & Ellis is inching back the curtain on its $500 million artificial intelligence investment, revealing the scale of its technology team and the strategic ambitions behind its recently announced partnership with Palantir Technologies Inc. The global law firm’s AI and innovation team has more than 180 AI engineers and data scientists, according to a
A scoping review of traditional and artificial intelligence methods in malaria diagnostics – npj Digital Medicine
Article Open access Published: 15 June 2026 Fangxu Xing1 na1, Shahar Lazarev2 na1 & Jonghye Woo1 npj Digital Medicine (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 may be errors present
AI Deepfakes and Copyright Law: Key Risks Explained
The rapid advancement of artificial intelligence (AI) has introduced new and complex challenges to copyright law in recent years. One of the most pressing issues in this realm is the use of AI to create “deepfakes,” hyper-realistic AI-generated media—typically videos or audio recordings—that convincingly impersonate real people with astonishing accuracy. Deepfakes leverage sophisticated machine learning
AI stocks with real revenue growth: Who
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AI Agent Failure Detection and Root Cause Analysis with Strands Evals | Amazon Web Services
When your AI agent fails in production, knowing that it failed is only the beginning. The harder question is why it failed and what to fix. Traditional evaluation tells you “this agent scored 60 percent on goal completion,” but leaves you manually reviewing execution traces to understand what went wrong. For teams operating agents at
Materials Information | AZoM.com – Page not found
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Why AI Alone Cannot Fix Broken Diagnostic Systems – KoreaTechDesk | Korean Startup and Technology News
Artificial intelligence is rapidly becoming one of the most heavily promoted technologies in healthcare diagnostics. AI-powered biosensors, automated interpretation systems, and machine-learning-assisted point-of-care platforms are now appearing across hospitals, startups, and decentralized healthcare models worldwide. However, behind the growing excitement, many diagnostics experts argue the industry still faces a quieter problem that AI alone cannot






