Fintech Asia News Feed
Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.
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Role of Artificial Intelligence and Machine Learning in Diagnosing Knee Lesions: Where Are We Now?
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LLMs outperform doctors at summarizing complex cancer pathology reports
A prototype AI tool that summarizes cancer pathology reports. The tool, developed at Northwestern Medicine, is not yet in clinical use and is undergoing further testing. Image source: Northwestern University News • Open-source AI models put to the test Many open-source AI models generated more complete summaries, especially for molecular findings AI models can generate
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Introduction Drones, or Unmanned Aerial Vehicles (UAVs), are now widely used across multiple sectors, including military operations, logistics, agriculture, surveillance and disaster management [1]. Because UAVs can take aerial photos and monitor large areas in real time, security and surveillance applications have drawn a lot of attention [2]. Current advancements in artificial intelligence (AI), particularly
Elizabeth Kolbert, journalist: ‘It’s possible AI will allow us to communicate with whales, and the first thing I would like to say is that I’m sorry’
How artificial intelligence is being used to learn how to talk to whales, and why New Zealand — a country with 4,000 environmental groups — is full of nature lovers dedicated to exterminating animals are two of the impactful stories in the latest book by U.S. journalist Elizabeth Kolbert (New York, 64 years old), Life
A two-stage deep learning model for risk identification in green supply chain finance – Scientific Reports
References Judijanto, L., Utami, E. Y. & Harsono, I. Green supply chain finance: A bibliometric review of financing instruments, challenges, and opportunities. West Sci. Interdiscip. Stud. 2(03), 647–655. https://doi.org/10.58812/wsis.v2i03.745 (2024). Google Scholar Smuda-Kocoń, M. Reconfiguring the risk of financial organizations as a consequence of the green transition and a potential source of ‘Green Swan events’.
Comparative analysis of deep learning algorithms for rolling element bearing fault classification under variable loads and speeds – Scientific Reports
References Xu, F. et al. A Review of bearing failure modes, mechanisms and causes. Eng. Fail. Anal. 152, 107518 (2023). https://doi.org/10.1016/j.engfailanal.2023.107518 Google Scholar Siddique, M. F., Saleem, F., Umar, M., Kim, C. H. & Kim, J. M. A Hybrid deep learning approach for bearing fault diagnosis using continuous wavelet transform and attention-enhanced spatiotemporal feature extraction.
Bloom’s Taxonomy Needs an Update for the AI Age (Opinion)
Jeffrey Schoonover Jeffrey Schoonover is in his 12th year as the superintendent of the Somerset public schools and the Somerset Berkley Regional school district in Massachusetts. He has master’s and doctoral degrees in educational leadership. Since ChatGPT’s public release in November 2022, the rapid advancement of generative artificial intelligence is reshaping the landscape of teaching