The approach used machine-learning techniques to model and analyze historical production data to identify the drivers behind slug flow. The results …

… data available in nearly real time using machine learning or physical-based models to then feed the control systems to command the machines.

A novel approach was implemented that uses machine-learning techniques to model and analyze historical production data to find causes behind …

The reinforcement techniques enhance combat training for both virtual … Integration of machine learning and geospatial analysis with the military's …

He recalled the experience of taking on his first real machine-learning project as “a big shock to the system.” Most of the Mighty DUC Hunters were …

Sequential user behavior modeling plays a crucial role in online user-oriented services, such as product purchasing, news feed consumption, and online advertising. The performance of sequential modeling heavily depends on the scale and quality of historical behaviors. However, the number of user behaviors inherently follows a long-tailed distribution, which has been seldom explored. In this work, we argue that focusing on tail users could bring more benefits and address the long tails issue by learning transferrable parameters from both optimization and feature perspectives. Specifically, we propose a gradient alignment optimizer and adopt an adversarial training scheme to facilitate knowledge transfer from the head to the tail. Such methods can also deal with the cold-start problem of new users. Moreover, it could be directly adaptive to various well-established sequential models. Extensive experiments on four real-world datasets verify the superiority of our framework compared with the state-of-the-art baselines.

Find the complete Artificial Intelligence In Chatbot Security Market analysis segmented by companies, region, type and applications in the report.

The transfer speed from the SSD is twice as fast on PS5.

By leveraging AI and machine learning, our products allow you to better integrate and build actionable insights quickly and accurately so you can …

Finally, machine learning algorithm is used to analyze those complex data more quickly.