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 ...

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

Machine Learning (ML) and Artificial Intelligence (AI) have become essential technologies across industries, automating tasks at a speed and scale far beyond human capabilities. However, building ...

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

As members of the inaugural graduating class in Ohio University’s artificial intelligence program, three students share what ...

The Machine Vision Market is gaining significant momentum as industries worldwide increasingly adopt automation technologies to enhance productivity, improve product quality, and reduce operational ...

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 ...

Explores uncertainty, decision-making, and error interpretation, highlighting limits of human judgment and structured ...

Machine learning systems increasingly underpin modern technological innovation, and their effectiveness is inextricably linked to advanced data management solutions. Contemporary research has placed a ...

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 ...