A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science ...

The intricate dance of drug absorption within the human body is a marvel of biological engineering, but it also presents a ...

Researchers have developed a machine learning model that enables early prediction of organoid quality, thus progressing ...

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Scientists in Korea have developed a new methodology to employ machine-learning models in "smart" solar cell manufacturing. They utilized data collected from equipment that closely resembles actual ...

Every year, the hepatitis C virus affects more than 200 million across the world. Machine learning can drastically reduce ...

Prediction: Once the model is trained, evaluated, and optimized, it can be used to make predictions on new, unseen data. It’s worth noting that machine learning is an iterative process.

A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

The training process shapes a function that can map as much of the input onto its corresponding (known) output as possible. After that, the trained model labels unfamiliar examples. Unsupervised ...

Two AI models The team used two AI models—an isolation model to detect anomalies during the batch phase of the process and a random forest model to predict required operator control actions ...