Newly published research from a leading computer scientist warns that the use of generative AI to design, train, or perform ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Today, businesses face immense pressure to innovate. The rapid evolution of artificial intelligence and data analytics ...

A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated ...

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

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

The rapid acceleration of AI adoption across industries is reshaping not only products, but also the engineering roles that support them. As organizations move machine learning systems from ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andrew Harmel-Law and a panel of expert ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...