A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...

The findings show that the AI boom did not create a simple increase in overall financial interconnectedness. Instead, ...

Most AI systems are trained on historical data. When conditions shift due to changing consumer sentiment, models trained on ...

Hyperscaler cloud is inherently global. Does that make data sovereignty unattainable – especially given the powers US courts ...

Scalable time-series data is vital for financial forecasting. Explore analytics, cloud architectures, and storage to improve ...

Although a lot of headlines in the automotive domain have been around LLMs (large language models), a significant part of automotive design relies on traditional machine learning (ML) workflows in ...

A new study has uncovered a significant and largely invisible privacy risk in the online advertising ecosystem: the ads you ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Researchers have developed a new methodology that uses artificial intelligence tools to identify and count target viruses ...