Latest Articles for Financial Technology

Leveraging AI to improve the analysis and security of smart contracts.

Learn about Semi-Hierarchical Payment Channel Networks and their role in CBDC transactions.

A new framework enhances anomaly detection in graph data using active learning techniques.

BooleanOCT enhances classification tree accuracy while maintaining clarity in predictions.

A new approach to improve understanding of event sequences using self-supervised techniques.

LB-KBQA enhances intent recognition in financial question answering.

A study highlights key methods for effective anomaly detection across sectors.

Explore the critical role of calibration in improving model reliability.

A new tool helps detect Reentrancy vulnerabilities in smart contracts more effectively.

CoDream enables organizations to collaborate securely without sharing sensitive data.

This article examines cross-chain bridges' vulnerabilities and suggests security improvements.

Asyn2F improves asynchronous federated learning for better model training and data privacy.

Learn how intent markets are changing trading in decentralized finance.

SliSE improves detection of reentrancy vulnerabilities in complex smart contracts.

This study focuses on NER in Brazilian bank earnings calls.

A new approach enhances smart contract auditing and vulnerability detection.

Explore the role of machine learning in analyzing blockchain data for various uses.

Examining smart contracts, their security, and the role of trust management.

A new method fixes issues in machine learning models without losing accuracy.

Introducing FastDCFlow for quicker, diverse counterfactual explanations in machine learning.

This article explores how invariants can improve smart contract security against attacks.

A look at decentralized exchanges, their mechanics, and market dynamics.

Improving classifiers by managing uncertainty and enhancing reliability in critical applications.

Advancements in explainable AI enhance understanding of complex ML models.

Addressing reliability, generalizability, and confidentiality in Graph ML.

New methods aim to improve machine accuracy in answering financial questions.

A new method improves understanding of Graph Neural Networks' predictions.

A new model enhances portfolio management through AI and traditional theories.

New algorithm improves learning efficiency across multiple tasks.

A study on security flaws in smart contract address verification and a proposed detection method.

Sharding improves blockchain speed and capacity by breaking networks into smaller groups.

A new method for fine-tuning language models using self-attention.

This article discusses privacy and bias in predictive algorithms for sensitive data.

FACOS offers a secure way to manage sensitive data using blockchain technology.

A new digital signature system improves speed and security in data center applications.

A new approach to enhance homomorphic encryption processing speeds.

Exploring quantum databases and their potential for data efficiency and speed.

Strategies to lower risk while providing liquidity in decentralized exchanges.

A new framework improves detection of state-reverting vulnerabilities in smart contracts.

FedMap improves Federated Learning efficiency while ensuring data privacy.