Machine learning (ML) and computer vision (CV) technologies are vital branches of artificial intelligence (AI) that help automate tasks and increase efficiency across industries. Experts predict that ...

As discussed in Chapter 3, extending safety engineering to cyber-physical systems that include artificial intelligence (AI) components brings a new set of challenges that suggest changing how this ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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

The impact of AI systems cannot always be attributed to epistemic or ethical failures. Much of their impact can appear initially ethically neutral in the absence of obvious harm. A separate set of ...

The world of machine learning isn’t just for fresh-faced graduates or seasoned tech veterans. More and more people are discovering the fascinating realm of machine learning well into their 40s, 50s, ...

In this episode of BRight Minds in Healthcare Delivery, Blank Rome partner Alex C. Nisenbaum talks with Rajni Natesan, MD, MBA, Chief Executive Officer of Clarified Precision Medicine, about how ...

Meta AI has released LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges of managing datasets in large-scale machine learning projects. Built on the ...

Artificial intelligence (AI) has transformed the business landscape and changed how we work. Its capability to automate tasks, analyze extensive datasets efficiently and provide concise business ...

In recent years, the rapid advancement of machine learning (ML) has led to their early integration into safety-critical systems. As noted in Chapter 2, these technologies offer significant potential ...