The research team (NEAL) from the University of South China has made significant progress in nuclear reactor radiation-shielding design. The team has developed a radiation-shielding optimization ...

For years, scientists have been hunting for futuristic materials that could outperform steel and iron — ideally, at a ...

In today’s era of digital transformation, generative artificial intelligence is reshaping how machine learning models are developed beginning with feature engineering. Vineetha Sasikumar, a passionate ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

AI and machine learning are reshaping how brands interact with their audiences and redefining campaign management, customer ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...

It also provides a rich set of tools for model visualization, debugging, and optimization. TensorFlow 2.0 ... It provides a wide variety of machine learning algorithms designed to be scalable and ...

Department of EECS, University of California at Berkeley, 485 Soda Hall, Berkeley CA 94720-1776, USA Previously at: Institute for Adaptive and Neural Computation, University of Edinburgh, UK.

This paper introduces a novel enhanced big data-driven reinforcement learning (EBD-RL) algorithm for dynamic optimization of transportation networks, addressing these challenges by leveraging advanced ...