Artificial intelligence
Authors: Gillian Pocock, Hugh M
<p>This chapter explores the extensive potential of artificial intelligence (AI), which has been recognized and harnessed by computer scientists, including physics and life sciences. It analyses how AI is applied to those areas of chemistry that offer great scope for investigation by intelligent methods. It also defines AI as an attempt to replicate intelligent reasoning through ‘machines’, which ...
📅 Published: 1993-12-9
🔗 Source: CrossRef
Systematic review of research on artificial intelligence applications in higher education – where are the educators?
Authors: Olaf Zawacki‐Richter, Victoria I. Marín, Melissa Bond
Abstract According to various international reports, Artificial Intelligence in Education (AIEd) is one of the currently emerging fields in educational technology. Whilst it has been around for about 30 years, it is still unclear for educators how to make pedagogical advantage of it on a broader scale, and how it can actually impact meaningfully on teaching and learning in higher education. This p...
The Bayesian Reflex: A Predictive Coding Engine for Artificial Intelligence
Authors: Sourabh Bhattacharya
Predictive coding offers a powerful theory of cortical computation, but corresponding scalable algorithmic implementations for artificial intelligence have remained elusive. This paper introduces the Bayesian reflex, a computational framework that directly instantiates predictive coding through three pillars: belief maintenance via hierarchical generative models, sequential Bayesian updating via p...