Artificial Intelligence and Machine Learning (AI/ML) tools simplify many tasks and provide solutions to previously intractable problems. The proliferation of AI/ML-based solutions has led to AI/ML ...

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Researchers working in a Merck & Co. laboratory. Merck cites its development of its next-generation KRAS G12C inhibitor MK-1084 as an example of its successful leveraging of artificial intelligence ...

Artificial intelligence and machine learning are being embedded in every aspect of the drug discovery and development process. In the preclinical stages, for example, companies are using advanced AI ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Predictive monitoring is transforming enterprise operations by combining the latest technologies with strategic implementation. By preventing issues before they escalate through early detection, ...

Abstract: The adoption of Artificial Intelligence (AI) and Machine Learning (ML) is transforming businesses across industries, yet small enterprises face significant challenges in implementing these ...

The Department of Civil Engineering at Cape Coast Technical University (CCTU) has hosted a high-impact academic training on “Generative AI for Academic Writing: Building Ethical and Responsible ...