EDUCATION researchRecent developments in Artificial Intelligence (AI) have generated great expectations for the future impact of AI in education and learning (AIED). Often these expectations have been based on misunderstanding current technical possibilities, lack of knowledge about state‐of‐the‐art ...
Global Lead - Applied Intelligence Ajay Vasal Growth & Strategy Lead and Centre for Data & Insights Lead – Applied Intelligence Philippe Roussiere Accenture Research Innovation and AI Global Lead Praveen Tanguturi, PhD Thought Leadership Research Principal Director ...
The emergence of AI in education The introduction of ChatGPT (to date one of the most powerful AI chatbots by OpenAI) in November 2022 is significantly transforming the landscape of education, marking a new era in how learning is approached and delivered. This advanced AI tool has redefined e...
研究报告内容摘要如下：A new class of tools, colloquially called generative AI, can produce high-qualityartistic media for visual arts, concept art, music, fiction, literature,video, andanimation.The generative capabilities of these tools are likely to fundamen-tally alter the creative processes by w...
With the development of computing andinformation processingtechniques,artificial intelligence(AI) has been extensively applied in education. Artificial intelligence in education (AIEd) opens new opportunities, potentials, and challenges in educational practices. In its short history, AIEd has been undergoing...
As being more prevalent in educational settings, understanding the impact of artificial intelligence tools on student behaviors and interactions has become
Using NVIDIA StyleGAN2 ADA to capture the machine’s “hallucinations” of MoMA’s vast archive of modern art in a multi-dimensional space, RAS trains a unique AI model with subsets of the collection, creating embeddings in 1024 dimensions. These hallucinations construct new aesthetic images and ...
The field of educationis searching for ways to respond to the fast-approaching impact of artificial intelligence (AI) across all sectors and fields, including its own. In this conversation with Jennifer Rexford, computer-science chair at Princeton University, she explains how this requires not ...
In addition, we invite approximately 8–10 emerging scholars (including PhD students, postdocs, and early-career faculty) working in fields such as art, communication, philosophy, management, design, sociology, law, anthropology, and...
Fig. 1. An overview of the iterative learning-intervention cycle enabled by the integration of Neurosymbolic AI in education. Neurosymbolic AI (NAI) is a hybrid approach that combines the strengths of symbolic AI and neural systems to enable a better big-picture understanding of complex human ...