Abstract: In this work, we present and investigate a new framework for the data-driven simulation of electrical circuits based on discrete-continuous optimization. For such an end, we provide a formal ...

EfficientZero V2 is a general framework designed for sample-efficient RL algorithms. We have expanded the performance of EfficientZero to multiple domains, encompassing both contin- uous and discrete ...

The study of insect feeding behavior using electropenetrography (EPG) typically involves analyzing complex data. EPG data comprises a temporal sequence of behaviors summarized using a collection of ...

Statistics for Data Science is a Git project that explores fundamental statistical concepts essential for data analysis and machine learning. It covers topics like descriptive statistics, probability ...

AUSTIN, Texas--(BUSINESS WIRE)--Global security leader Forcepoint today announced the launch of its next-generation Data Detection and Response (DDR), bringing AI-powered speed and precision to data ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

Market.us Scoop, we strive to bring you the most accurate and up-to-date information by utilizing a variety of resources, including paid and free sources, primary research, and phone interviews. Learn ...

The rapid advancement of AI has led to the development of powerful models for discrete and continuous data modalities, such as text and images, respectively. However, integrating these distinct ...