Results 331 to 340 of about 5,733,203 (365)

Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

Social Science Research Network, 2023
Since its maiden release into the public domain on November 30, 2022, ChatGPT garnered more than one million subscribers within a week. The generative AI tool ⎼ChatGPT took the world by surprise with it sophisticated capacity to carry out remarkably ...
David Baidoo-Anu, Leticia Owusu Ansah
semanticscholar   +1 more source

GAIA: a benchmark for General AI Assistants

arXiv.org, 2023
We introduce GAIA, a benchmark for General AI Assistants that, if solved, would represent a milestone in AI research. GAIA proposes real-world questions that require a set of fundamental abilities such as reasoning, multi-modality handling, web browsing,
G. Mialon, Clémentine Fourrier, Craig Swift, Thomas Wolf, Yann LeCun, Thomas Scialom   +5 more
semanticscholar   +1 more source

AI Meets AI

Proceedings of the 2019 International Conference on Management of Data, 2019
State-of-the-art index tuners rely on query optimizer's cost estimates to search for the index configuration with the largest estimated execution cost improvement`. Due to well-known limitations in optimizer's estimates, in a significant fraction of cases, an index estimated to improve a query's execution cost, e.g., CPU time, makes that worse when ...
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya   +5 more
openaire   +1 more source

Yi: Open Foundation Models by 01.AI

arXiv.org
We introduce the Yi model family, a series of language and multimodal models that demonstrate strong multi-dimensional capabilities. The Yi model family is based on 6B and 34B pretrained language models, then we extend them to chat models, 200K long ...
01.AI Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai   +29 more
semanticscholar   +1 more source

Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education

IEEE Global Engineering Education Conference, 2023
Engineering education is constantly evolving to keep up with the latest technological developments and meet the changing needs of the engineering industry.
Junaid Qadir
semanticscholar   +1 more source

Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot

Interactive Learning Environments, 2023
As Artificial Intelligence (AI) advances technologically, it will inevitably bring many changes to classroom practices. However, research on AI in education reflects a weak connection to pedagogical perspectives or instructional approaches, particularly ...
Thomas K. F. Chiu, Benjamin Luke Moorhouse, C. Chai, Murod Ismailov   +3 more
semanticscholar   +1 more source

AI vs. AI: Exploring the Intersections of AI and Cybersecurity

Proceedings of the 2021 ACM Workshop on Security and Privacy Analytics, 2021
The future of cybersecurity will pit AI against AI. In this talk, we explore the role of AI in strengthening security defenses as well as the role of security in protecting AI services. We expect that the scale, scope and frequency of cyber attacks will increase disruptively with attackers harnessing AI to develop attacks that are even more targeted ...
Ian Molloy, Josyula R. Rao, Marc Ph. Stoecklin   +2 more
openaire   +1 more source

GUIDANCE FOR GENERATIVE AI IN EDUCATION AND RESEARCH" FOR TEACHERS

Journal of industrial education
From the book title is "Guidance for Generative AI in Education and Research" for teachers, or this book serves as part of the guidelines for using Generative AI (GenAI) in the fields of education and research. This book was written by W.
S. Boonlue
semanticscholar   +1 more source

AI for Science and Science for AI

Voprosy Filosofii, 2022
In 2016, Hiroaki Kitano proposed that artificial intelligence (AI) will be able to overcome a number of human cognitive limitations that slow down the process of scientific discovery [Kitano 2016 web]. Since then, the odds of AI being awarded the Nobel Prize have been widely discussed, particularly within aca­demic community [Engineering for Research ...
Konstantin V. Anokhin, Konstantin S. Novoselov, Stanislav K. Smirnov, Albert R. Efimov, Philipp M. Matveev   +4 more
openaire   +1 more source

Mechanistic Interpretability for AI Safety - A Review

Trans. Mach. Learn. Res.
Understanding AI systems' inner workings is critical for ensuring value alignment and safety. This review explores mechanistic interpretability: reverse engineering the computational mechanisms and representations learned by neural networks into human ...
Leonard Bereska, E. Gavves
semanticscholar   +1 more source