Led by Aliyu Tetengi Ibrahim and his team at Ahmadu Bello University, a study published in Data Science and Management on ...
Discover how generative AI and deep reinforcement learning are revolutionizing electronic design automation in the ...
Abstract: Deep learning frameworks are gaining prominence in the electromagnetics community for designing microwave and mm-wave devices. This paper presents a computationally efficient transfer ...
Deep Reinforcement Learning (DRL ... framework that combines the adaptability and learning capabilities of DRL with the efficiency of Transfer Learning (TL) and Neural Architecture Search. This ...
Then you can use those miles in flexible ways, like transferring them to the loyalty programs of more than 15 Capital One transfer partners. 1 Learn more about Capital One transfer partners and the ...
Here's how the Trump loyalist might try to eliminate the so-called "deep state." Trump loyalist Kash Patel, President-elect Donald Trump's choice to become the next FBI director, has said the FBI ...
To screen catalysts, scientists must understand systems' adsorption energy, something that machine learning (ML) models, particularly graph neural networks (GNNs), have been successful at predicting.
Friends, family, Florida, fealty. That's a lot of what the current rush at Mar-a-Lago seems to be about. Donald Trump promised retribution on the campaign trail and his nomination of ultra ...
This stems from the phenomenon called upwelling, where cooler waters from the deep mix with warm surface waters. These reefs are likely to be buffered from the worst of climate change. While the ...