Fintech Asia News Feed
Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.
Emerging Risks of AI-to-AI Interactions in Health Care: Lessons From Moltbook
Key Takeaways AI-to-AI interactions may introduce new risks in health care, including the amplification and rapid propagation of accidental and adversarial errors across interconnected networks, accelerated privacy breaches and security attacks, and emergent hierarchies. Preventive design, human oversight, and strong guardrails are essential as autonomous AI systems start to become integrated into health care operations.
Fruit Fly Connectome: How Drosophila Brain Architecture Reshapes AI — From FlyWire to QUBIC
Credit: Amy Sterling, Murthy and Seung Labs, Princeton University Imagine a building with thirty people. Knowing how many there are adds little. What really explains what is happening is who depends on whom, who is a son, father, wife, husband, who coordinates the building, who is the president of the community, who is the doorman
RBC says its focus on AI is paying dividends | RBCCM
A year ago, Royal Bank of Canada laid out a three-year strategy to boost revenues and add clients, which hinged largely on its ability to leverage data and AI capabilities. Twelve months later, executives say the Toronto-based bank is achieving its goals and outpacing the competition as it introduces AI across different parts of the
As more Americans adopt AI tools, fewer say they can trust the results | TechCrunch
Americans are increasingly turning to artificial intelligence to help with things like research, writing, school or work projects, and analyzing data — but they’re not exactly happy about it. Even as AI use and adoption rises, Americans continue to lack trust in the new tool, according to a Quinnipiac University poll published Monday. Of the
How to Lie with Statistics with your Robot Best Friend | Towards Data Science
traditional statistical analysis is often compared to navigating a “Garden of Forking Paths” (Gelman and Loken). It’s a term that helps (hopefully) visualize the countless number of analytical choices researchers must make during an experiment, and how seemingly insignificant “turns” (like which variables to control for, which outliers to remove…) can have researchers end up
Accelerate CPU-based AI inference workloads using Intel AMX on Amazon EC2 | Amazon Web Services
This post shows you how to accelerate your AI inference workloads by up to 76% using Intel Advanced Matrix Extensions (AMX) – an accelerator that uses specialized hardware and instructions to perform matrix operations directly on processor cores – on Amazon Elastic Compute Cloud (Amazon EC2) 8th generation instances. You’ll learn when CPU-based inference is
Janction (JCT): Introduction and Potential Analysis
Janction (JCT) is a Layer‑2 blockchain project focused on creating a decentralized computing marketplace for AI workloads by leveraging idle GPU and compute resources. Its recent price performance, driven by exchange listings and growing interest in real‑world computational infrastructure (DePIN) narratives, reflects market excitement around practical blockchain solutions beyond pure speculative tokens. However, key considerations
Why Integrating AI in High-Frequency Trading Is Harder Than Everyone Thinks | HackerNoon
New Story by Lev Yatsemyrskyi byLev Yatsemyrskyi @levyatsemyrskyi Ex-Nasdaq Director. AI & fintech infrastructure for BofA, JPMorgan & 100+ institutions. BMO. Founder. March 29th, 2026 Your browser does not support the audio element. Speed Voice byLev Yatsemyrskyi @levyatsemyrskyi byLev Yatsemyrskyi @levyatsemyrskyi Ex-Nasdaq Director. AI & fintech infrastructure for BofA, JPMorgan & 100+ institutions. BMO. Founder.








