Netflix productions come with specific technical restrictions so that they can be easily relayed on the streaming service.

The Brevis architecture is not rigid. By flexibly combining Pure ZK and Co Chain (Optimistic ZK), Brevis allows developers to ...

An A-list roster of top executives, creators, entrepreneurs, investors, analysts and talent took part in Day 1 of Variety's ...

For quota_Anchor, collinear gene pairs are initially identified by a dynamic programming algorithm analogous to those implemented in DAGchainer and ...

ABSTRACT: The PMU’s performance relies on its ability to detect and provide accurate measurements of both steady-state and dynamic conditions. The phasor estimation algorithm assesses the accuracy and ...

Abstract: In this article, an unscented Kalman filter (UKF)-based multistep heuristic dynamic programming (MsHDP) optimal control algorithm is developed for nonlinear discrete-time (DT) systems with ...

Financial crime risk is not static. A customer’s risk profile can shift rapidly with new transactions, behaviors, or data. Yet historically, many financial institutions relied on one-time or ...

Glucopilot dynamic dosing algorithm improved glycemia management, especially among patients with diabetic ketoacidosis, sepsis, and steroid use. SAN FRANCISCO — Using patient-specific data, the ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...