In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

Artificial intelligence (AI) and machine learning (ML) are easily confused, but it is crucial to recognize the fundamental difference between them. AI refers to prebuilt products that identify ...

Clinical trials have become increasingly expensive, time-consuming, and complex, leading sponsors to look for more efficient ways to conduct their business. Risk-based quality management (RBQM) is ...

We are now getting closer to the adoption of AI for business as a direct contributor more than before, with generative AI emerging as a transformative force. Generative AI, which is technically a ...

The transformative power of technology has embarked on an exciting phase. Artificial intelligence (AI) and machine learning (ML) are becoming more thoroughly integrated into business operations, ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...