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 ...

Public agency leaders want tangible results from AI and machine learning (ML). The trouble is figuring out how to get beyond ...

Artificial Intelligence (AI) and Machine Learning (ML) in pediatrics represent a burgeoning field within healthcare, driven ...

AI is revolutionizing how healthcare is delivered. Eliminating human error, AI can make healthcare more accurate, accessible, ...

In this episode of Inside Active, host David Cohne, mutual fund and active management analyst at Bloomberg Intelligence, and co-host Christopher Cain, US quantitative strategist at Bloomberg ...

What if auditors could predict when errors are more likely to occur in financial reporting? Instead of simply improving ...

To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

Isro used AI and machine learning systems during its successful Chandrayaan 3 mission, which culminated in a soft landing on ...

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Advance your career with IIT Kharagpur’s 2026 Online Executive Programs in AI and Machine Learning. Explore eligibility, the ...