The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

EXL’s patents for transforming data, enabling AI workflows and enhancing decision intelligence deliver measurable growth, savings, compliance and enhanced customer engagementNEW YORK, Feb. 09, 2026 ...

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...

Firms integrating AI and machine learning into their investment processes are building compounding advantages that late adopters may never overcome.

Real-world evidence (RWE) empowers payers and providers to make more informed, cost-effective treatment. Read more here: ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Abstract: Federated learning (FL) has emerged as a pivotal collaborative machine learning framework, enabling privacy-preserving analytics for smart city applications using distributed data from ...

Background: Traditional Chinese Medicine (TCM) constitution theory posits that constitution is dynamic, yet most research is cross-sectional. This study aims to bridge this gap by developing machine ...