Results 101 to 110 of about 6,516,300 (304)

Reimagining financial marketing in the era of artificial general intelligence: architectural, strategic, and regulatory perspectives

Discover Artificial Intelligence
The emergence of artificial general intelligence (AGI) as autonomous consumer agents marks a fundamental shift in financial marketing. This paper explores the strategic, technical, and regulatory transformations required when intelligent agents not ...
Shubham Metha
doaj   +1 more source

Racial Disparities in Conforming Mortgage Lending: A Comparative Study of Fintech and Traditional Lenders Under Regulatory Oversight

FinTech
This study examines racial and ethnic disparities in mortgage-lending outcomes across different lender types—large banks, fintech lenders, non-bank lenders, small banks, and credit unions—using Home Mortgage Disclosure Act (HMDA) data from 2018 to 2023 ...
Zilong Liu, Hongyan Liang
doaj   +1 more source

A Polymorphic Reconfigurable Multi‐Electrode Device Based on Electrically Bistable Nanostructured Metallic Films

Advanced Electronic Materials, EarlyView.
A polymorphic reconfigurable multi‐electrode device based on electrically bistable nanostructured metallic films. The adaptive reconfiguration properties of the nanostructured network under specific input voltages drive the reprogrammability of the device. This system can be employed for the implementation of polymorphic devices, which can be used both
Silvia Bressan, Luca Camillini, Francesca Borghi, Giovanni Galafassi, Paolo Milani   +4 more
wiley   +1 more source

Artificial Intelligence and Antitrust Regulation: Lessons from the European Union, United States and China

Indonesian Comparative Law Review
This article explores the implications of artificial intelligence (AI) for antitrust regulation through a comparative analysis of the European Union, the United States, and China.
Reni Budi Setianingrum
doaj   +1 more source

Stackelberg Network Pricing is Hard to Approximate

, 2008
In the Stackelberg Network Pricing problem, one has to assign tariffs to a certain subset of the arcs of a given transportation network. The aim is to maximize the amount paid by the user of the network, knowing that the user will take a shortest st-path
Bouhtou, Demaine, Feige, Kierstead, Labbé, Roch, Roughgarden   +6 more
core   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

New Economic Analysis of Law: Beyond Technocracy and Market Design [PDF]

, 2018
This special issue on New Economic Analysis of Law features illuminating syntheses of social science and law. What would law and economics look like if macroeconomics were a concern of scholars now focused entirely on microeconomics?
Pasquale, Frank A.
core   +1 more source

More Amazon Effects: Online Competition and Pricing Behaviors

, 2018
I study how online competition, with its algorithmic pricing technologies and the transparency of the Internet, can change the pricing behavior of large retailers and affect aggregate inflation dynamics.
A. Cavallo
semanticscholar   +1 more source

First to "Read" the News: New Analytics and Algorithmic Trading

Review of Asset Pricing Studies, 2018
Exploiting a unique identification strategy based on inaccurate news analytics, we document an effect of news analytics on the market independent of the informational content of the news. We show that news analytics speed up the stock price and trading
Bastian von Beschwitz, Donald B. Keim, M. Massa   +2 more
semanticscholar   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source