Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Machine-learning models could help drug firms remove viral contaminants from products more effectively as long as they have access to high-quality training data, say biomanufacturing researchers.

Machine learning models to identify the simplest way to screen for lung cancer have been developed by researchers from UCL and the University of Cambridge, bringing personalized screening one step ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as ...

Data from 682 end-user reviews on Info-Tech's SoftwareReviews platform was used to identify the top platforms for the 2025 Machine Learning Emotional Footprint Report. The insights published offer ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...