Machine learning (ML) could allow drug firms to create predictive process models that optimize development, production, and quality control. But, before embracing ML on the factory floor, ...

Please provide your email address to receive an email when new articles are posted on . A noninvasive sensor may measure glucose values by using dielectric spectroscopy to scan radiofrequencies.

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

The inner circle classifies fiber sensors into ‘Macroscopical’ and ‘Microscopical’ according to the fiber dimension. The outer pie chart shows the classification according to the working principles.

A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing. A new study from NC State University combines ...

A machine-learning approach known as knowledge distillation can significantly reduce sensor drift in electronic noses, researchers say, improving the reliability of gas-sensing systems used in ...

An intelligent monitoring pipe combines optical sensing with machine learning algorithms to monitor and predict 3D soil ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

Autonomous vehicles generate oceans of video and sensor data every day, but most of it sits unstructured and underused.

When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...