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Fintech Asia News Feed

Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.

12Jul 26
study-maps-the-9-distinct-types-of-procrastinators-–-neuroscience-news

Study Maps the 9 Distinct Types of Procrastinators – Neuroscience News

Summary: Researchers synthesized insights from hundreds of studies across psychology, behavioral economics, and neuroscience. The study reveals that procrastination is an intricate psychological battlefield driven by a fundamental evolutionary mismatch in the brain. Rather than a singular habit, the study isolates 9 distinct types of procrastinators, providing an engineered toolkit tailored to the unique mental

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11Jul 26
how-path-robotics-uses-ai-to-optimize-robotic-welding-–-the-robot-report

How Path Robotics uses AI to optimize robotic welding – The Robot Report

In Episode 252  of The Robot Report Podcast, we connect with Andy Lonsberry, co-founder and CEO of Path Robotics. He discusses the difficulties in setting up and using robots for welding applications. Path Robotics has applied AI to identify the path of a torch and then move the robot through the welding operation, using real-time

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11Jul 26
how-alternative-data-drive-investment-insight-and-alpha-potential

How alternative data drive investment insight and alpha potential

By   Vinit Agrawal, CFA, Jason Nogueira, CFA Download the PDF Scouring “digital exhaust” can yield insights other investors might miss. July 2026, Equity Download From To Audience for the document: Share Class: Language of the document: Open Share Class: Language of the document: Sign in to manage subscriptions for products, insights and email updates.

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11Jul 26
how-fair-does-ai-seem-in-job-interviews?

How fair does AI seem in job interviews?

Many companies rely on AI for recruitment. A new study shows that job applicants mostly trust the avatars conducting their interviews – but only until they receive a rejection. How fair this decision is perceived to be depends on the avatars’ identity characteristics. The test subjects who felt treated the most unfairly were not those

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11Jul 26
applications-of-traditional-machine-learning-and-deep-learning-algorithms-in-obesity-prediction-or-classification:-a-systematic-review-of-comparative-performance-–-npj-digital-medicine

Applications of traditional machine learning and deep learning algorithms in obesity prediction or classification: a systematic review of comparative performance – npj Digital Medicine

Article Open access Published: 11 July 2026 Mehrdad Jamali1  na1, Meysam Zarezadeh2  na1, Mohammad Vesal Bideshki3,4, Mohamed Khalifa5, Michelle Cavaleri5, Ahmad Saedisomeolia5,6  na2 & … Rania A. Mekary7,8  na2  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

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