In the age of digital transformation, machine learning (ML) is rapidly becoming a pivotal technology in various sectors. One of ...

The most well-known artificial intelligence application everyone sees today is generative AI—often called GenAI. GenAI powers chatbots like Alexa, Siri and ChatGPT, and it helps summarize our internet ...

Overview: Data Science is broader and focuses on extracting insights, whereas machine learning is a subset that focuses on ...

The intersection of artificial intelligence governance and practical machine learning implementation represents one of the most critical challenges facing modern enterprises. This reality became ...

Special Issue Introduction. The safe and efficient operation of transportation infrastructure (including highways, railways, airports, and port facilities) is crucial for economic ...

This article is published by AllBusiness.com, a partner of TIME. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve ...

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...

A new study published in Lupus Science & Medicine discusses how machine learning (ML) opens new possibilities for studying lupus disease, from building predictive models, identifying new biomarkers, ...

Trade secrecy may provide many businesses with a more predictable way to protect their innovative applications of machine learning. Both the Defend Trade Secrets Act and its state-law analogues ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...