Results 311 to 320 of about 10,675,039 (377)

Foundations of the research foundation

Australian Occupational Therapy Journal, 2013
Griffith Health Faculty ; No Full ...
Cusick, Anne, Curtin, Michael, Froude, Elspeth, Ziviani, Jenny, Stanley, Mandy, Molineux, Matthew, Hoffmann, Tammy, Morgan, Deidre, Joosten, Annette, Kuipers, Kathy   +9 more
openaire   +4 more sources

A decoder-only foundation model for time-series forecasting

International Conference on Machine Learning, 2023
Motivated by recent advances in large language models for Natural Language Processing (NLP), we design a time-series foundation model for forecasting whose out-of-the-box zero-shot performance on a variety of public datasets comes close to the accuracy ...
Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou   +3 more
semanticscholar   +1 more source

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

arXiv.org
General-purpose robots need a versatile body and an intelligent mind. Recent advancements in humanoid robots have shown great promise as a hardware platform for building generalist autonomy in the human world. A robot foundation model, trained on massive
Nvidia, Johan Bjorck, Fernando Castañeda, Nikita Cherniadev, Xingye Da, Runyu Ding, LinxiJimFan, Yu Fang, Dieter Fox, Fengyuan Hu, Spencer Huang, Joel Jang, Zhenyuan Jiang, Jan Kautz, Kaushil Kundalia, Lawrence Lao, Zhiqi Li, Zongyu Lin, Kevin Lin, Guilin Liu, Edith Llontop, Loic Magne, Ajay Mandlekar, Avnish Narayan, Soroush Nasiriany, Scott Reed, Y. Tan, Guanzhi Wang, Zu Wang, Jing Wang, Qi Wang, Jiannan Xiang, Yuqi Xie, Yinzhen Xu, Zhen-Teng Xu, Seonghyeon Ye, Zhiding Yu, Ao Zhang, Hao Zhang, Yizhou Zhao, Ruijie Zheng, Yuke Zhu   +41 more
semanticscholar   +1 more source

Cosmos World Foundation Model Platform for Physical AI

arXiv.org
Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model.
Nvidia Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, J. Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Kl'ar, Grace Lam, Shiyi Lan, L. Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, A. Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, F. Reda, Xiao-Shuai Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne P. Tchapmi, Przemek Tredak, Wei-Cheng Tseng, J. Varghese, Hao Wang, Haoxiang Wang, Hengyi Wang, Tingwei Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Lin Yen-Chen, Xiaohui Zeng, Yuan Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zolkowski   +76 more
semanticscholar   +1 more source

Philanthropic Foundations

2013
Foundations are private institutions for public benefit. With a long history that reaches back to antiquity, inside the United States and globally, foundations are a growing organizational form that policy makers increasingly view with both potential (as a source of private funds to complement government services) and caution (given their autonomy and ...
Anheier, Helmut K., Lam, Marcus
openaire   +2 more sources