Traditionally, manufacturing relied on preventive training, manual hazard identification, and reactive maintenance to ensure ...

A new National Association of Mutual Insurance Companies (NAMIC) report warns that myths could be influencing regulations on ...

In misapplication failures, AI is simply the wrong tool for the job. One stark example is Hackney Council’s failed attempt to ...

If the data is inaccurate or incomplete, the AI’s performance will suffer. Data quality is crucial in artificial intelligence because it directly impacts AI models’ performance, accuracy, and ...

Issues such as data quality, bias, transparency ... garbage out” (GIGO), a concept familiar to computer users for generations, is just as applicable to AI. If an AI model is of poor quality ...

It's time for papal predictions, but prediction markets and AI models aren't landing on the same name. Who's accurately ...

While tools like ChatGPT have demonstrated AI’s rapid adoption, they have also underscored the pressing need for responsible ...

Sankarsh Chanda, CEO of Savart, discusses how the Ad Astra Fund uses AI to revolutionize fund management. By automating research and overcoming biases, the fund aims for consistent, superior ...

The typical college general education curriculum, fractured into discipline-based silos, often fails to engage students with the profound questions and pressing controversies that shape human life and ...

Artificial Intelligence (AI) is no longer a distant concept discussed only in research papers or at industry conferences. It has quietly integrated into daily routines, powering tasks as simple as ...

The bank’s group chief data officer, Mohammed Rahim, outlines how the bank is modernising its data infrastructure and ...

artificial general intelligence, or AGI: A concept ... with bias. AI safety: An interdisciplinary field that's concerned with the long-term impacts of AI and how it could progress suddenly to a super ...