Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

The third-ranking leader in the House of Representatives, who also happens to hail from Minnesota, demanded answers from Gov. Tim Walz after a YouTuber tried to confront employees of an alleged ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Abstract: This paper proposes a learning-based distributed model predictive control (MPC) framework with a consensus-regularized cost structure for vehicle platooning. Specifically, vehicle dynamics ...

Sometimes insight strikes out of the blue – often after a nap. Now, researchers have put this brain-sleep connection to the test. In a study published in the journal PLOS Biology, Anika Löwe and her ...

1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...

According to @akshatgupta57, a major revision to their paper on Lifelong Knowledge Editing highlights that better regularization techniques are essential for maintaining consistent downstream ...