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

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

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

Jon is a Partner at Khosla Ventures passionate about machine learning and its impact on enterprise infrastructure, ...

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, ...

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 ...

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 ...

A new blood-based HPV whole genome sequencing assay can detect circulating tumor HPV DNA more than 7 years before the ...

ML enhances decision-making in digital banking by processing vast amounts of structured and unstructured data at scale. Key ...

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 ...