Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

With the AIRE platform, developers can train machine-learning models on RF and network data for increased optimization of DoD ...

June 8th, 2022 - By: Fraunhofer IIS/EAS Chiral photonics opens new pathways to manipulate light-matter interactions ... using two machine learning methods, the evolutionary algorithm, and neural ...

Here are eight ways machine learning and artificial ... Siemens White Space Cooling Optimization (WSCO) uses a network of sensors to collect temperature and air supply data. Its AI engine applies ...

and machine learning have deepened understanding of process operations and product quality in this important arena. Organizations on the leading edge of bioprocess data analytics have already seen ...

From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data ... networks.” The global COVID-19 pandemic hasn’t slowed down the rapid pace of data science and machine ...

Today’s intelligent systems process a rich array of user information—from online activity and shopping records to social network behavior—to generate interactions suited to each individual ...