Bayesian Inference and Deep Learning: Theory and Practice of Generative Models

IntroductionPurpose of this bookThis book depicts the path from Bayesian inference to deep learning as a single long-form technical volume. There is one central theme: how can we handle uncertainty in ...
mccormick.northwestern.edu

Advancing Theory, Research, and Practice for Generative AI in Computing Education

Amid a rapidly changing generative AI (GenAI) landscape, Northwestern Computer Science convened 45 computing practitioners, scholars, and instructors. Together, they examined the pedagogical, ethical, ...
Forbes

Theory Of Mind As An Emergent Property Of Generative AI Could Be A Linchpin For AI-Powered Mental Health Advisement Apps

In today’s column, I will be examining an enduring and intriguing topic known as the Theory of Mind (ToM) including and especially as the topic relates to Artificial Intelligence (AI), such as ...
Science Daily

Generative AI pioneers the future of child language learning

Researchers create a storybook generation system for personalized vocabulary learning. Professor Inseok Hwang from the Department of Computer Science and Engineering, along with students Jungeun Lee, ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
techtarget

Generative AI vs. machine learning: Key differences and use cases

Machine learning and AI are transforming how businesses operate: improving efficiency, streamlining workflows, establishing consistency, maintaining security and compliance, and creating new ...
eWeek

Generative AI vs Machine Learning: Key Differences and Use Cases

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...