A Dartmouth study challenges the conventional view that the amygdala-the two-sided structure deep in the brain involved in emotion, learning, and decision making-is simply the brain's primitive "fear ...

In a district where students have been counted out and labeled as “low achievers,” Allgood utilized her expertise as a teacher, along with research-backed pedagogical strategies, to personalize ...

Colleges and universities are taking on different approaches to how their students are using AI – but with a shared recognition that they cannot prevent it altogether.

The decline of reading and the rise of social media are again transforming what it feels like to be a thinking person.

Determinism is linked to the idea of causality, which is the relationship between cause and effect. Under certain conditions, an event will cause an outcome. Determinists believe that much of what ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

According to God of Prompt (@godofprompt), grokking was first discovered by accident in 2022 when OpenAI researchers trained AI models on simple mathematical tasks such as modular addition and ...

According to God of Prompt on Twitter, DeepMind researchers have identified a phenomenon called 'Grokking' where neural networks may train for thousands of epochs with little to no improvement, then ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. This manuscript by Xie and colleagues presents an intriguing ...