Binghamton University's School of Management (SOM) has conducted research that proposes solutions to combat the spread of fake news using a combination of machine learning and blockchain technology.

Machine learning's transformative shift mirrors the MapReduce moment, revolutionizing efficiency with decentralized consensus algorithms.

A proposed machine learning framework and expanded use of blockchain technology could help counter the spread of fake news by allowing content creators to focus on areas where the misinformation is ...

Lynn Carroll, chief of strategy and operations for health IT support company HSBlox in Alpharetta, Ga., discusses his predictions for blockchain in 2019 and how the technology will be used in ...

The mortgage industry has been talking about ending its ‘Paper-Palooza’ for at least 20 years as we linger behind other industries like healthcare and insurance. While presently enjoying a surge in ...

Bybit, the world's second-largest cryptocurrency exchange by trading volume, recently concluded an anti-money laundering ...

A new study published in Engineering presents a novel framework that combines machine learning (ML) and blockchain technology (BT) to enhance computational security in engineering. The framework, ...

Explore how Hyperchain and AI crypto projects are reshaping blockchain infrastructure in 2026, from decentralized compute to ...

A startup connecting cryptocurrency miners with machine learning researchers raised $6.5 million. London-based Gensyn claims it will help researchers access the compute power they need to train AI.

Self-education programs reveal use cases such as secure data sharing and analysis, cross-chain communication integrity, and ...

BINGHAMTON, N.Y. -- A proposed machine learning framework and expanded use of blockchain technology could help counter the spread of fake news by allowing content creators to focus on areas where the ...