"Word-processing software, SCIgen, or Photoshop have increased fraudulent output, but … they have also changed the very form of fraud. Photoshop and similar tools are thus enabling something that is categorically new: recursive fraud, that is, the serial digital reproduction and dissemination of more fraud." Read more in the Guest Editorial by M. Biagioli.
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http://dx.doi.org/10.1002/anie.201908646 | DOI Listing |
Front Artif Intell
November 2024
Faculty of Management, Royal Roads University, Victoria, BC, Canada.
Introduction: This study investigates the application of machine learning (ML) algorithms, a subset of artificial intelligence (AI), to predict financial distress in companies. Given the critical need for reliable financial health indicators, this research evaluates the predictive capabilities of various ML techniques on firm-level financial data.
Methods: The dataset comprises financial ratios and firm-specific variables from 464 firms listed on the TSX.
Malar J
January 2021
MERIT (IRD 261), University of Paris, Faculté de Pharmacie, 4 Avenue de l'Observatoire, 75006, Paris, France.
Background: Despite many technological advances for malaria parasite detection (e.g. high resolution image acquisition), microscopic reading of thick blood smear (TBS) remains the gold standard.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
November 2019
University of California Los Angeles, Dept of Communication and School of Law, UCLA School of Law, 385 Charles E. Young Drive East, 1242 Law Building, Los Angeles, CA, 90095, USA.
"Word-processing software, SCIgen, or Photoshop have increased fraudulent output, but … they have also changed the very form of fraud. Photoshop and similar tools are thus enabling something that is categorically new: recursive fraud, that is, the serial digital reproduction and dissemination of more fraud." Read more in the Guest Editorial by M.
View Article and Find Full Text PDFBehav Processes
June 2008
The Mechner Foundation, 200 Central Park South, 18E, New York, NY 10019, United States.
This paper presents a formal symbolic language, with its own specialized vocabulary and grammar, for codifying any behavioral contingency, including the complex multiparty contingencies encountered in law, economics, business, public affairs, sociology, education, and psychotherapy. This language specifies the "if, then" and temporal relationships between acts and their consequences for the parties involved. It provides for the notation of the probabilities, magnitudes, positive or negative valences, or time delays of the consequences for the parties, and for the parties that would perceive, misperceive, not perceive, predict, mispredict, or not predict events.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!