In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...

The European Union Aviation Safety Agency (EASA) and Daedalean published their second joint report Concepts of Design Assurance for Neural Networks (CoDANN) II, on May 21 to explain key machine ...

The insights available through effective machine learning models can help businesses develop customer personas, clarify marketing efforts, improve the user experience for their products and services, ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Machine learning (ML) uses advanced mathematical models ...

The Food and Drug Administration (FDA) published a pair of discussion papers this week in an effort to outline areas artificial intelligence and machine learning may help in manufacturing ...