Results 71 to 80 of about 4,611,339 (304)

IDB News: Vol. 1, no. 3, April 1974

, 1974
IDB News is a monthly publication of the Inter-American Development Bank and appears in English and Spanish ...
Inter-American Development Bank
core   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach

IEEE Access
Predicting bank failures is a critical task requiring balancing the need for model explainability with the necessity of preserving data privacy. Traditional machine learning models often lack transparency, which poses challenges for stakeholders who need
Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son   +3 more
doaj   +1 more source

Predicting large US commercial bank failures

Journal of Economics and Business, 2002
Abstract The present study applies empirical methods to the problem of predicting large US commercial bank failures. Due to sampling limitations, scant research has examined the feasibility of using computer-based early warning systems (EWSs) to identify pending large bank failures. In the late 1980s and early 1990s numerous large banks failed in the
James Kolari, Dennis Glennon, Hwan Shin, Michele Caputo   +3 more
openaire   +2 more sources

IDB Newsletter: Vol. 4, no. 3, July 1966

, 1966
IDB Newsletter is a monthly publication of the Inter-American Development that reports on the activities of the Inter-American Development Bank and appears in English and Spanish ...
Inter-American Development Bank
core   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Risk Profiling of Ukrainian Banks through Structural-Functional Groups: Evidence from Kohonen Self-Organizing Maps [PDF]

Financial Markets, Institutions and Risks
The growing complexity of banking-sector risk assessment under uncertainty has increased the relevance of data-driven financial risk management, risk-oriented banking supervision, and financial stability monitoring for financial markets, institutions ...
Olena ZARUTSKA, Maksym W. SITNICKІ
doaj   +1 more source

IDB Newsletter: Vol. 7, no. 3, July 1969

, 1969
IDB Newsletter is a monthly publication of the Inter-American Development that reports on the activities of the Inter-American Development Bank and appears in English and Spanish ...
Inter-American Development Bank
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Distress and Restructuring Risk in Polish Cooperative Banks: Research Gaps and a Framework for Early-Warning Modelling

Finanse i Prawo Finansowe
The purpose of the article. The article identifies the research gap caused by the lack of empirically validated early-warning models for distress and restructuring risk in Polish cooperative banks. It argues that models developed for commercial banks or
Arkadiusz Kurasz
doaj   +1 more source