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Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
26 May 2023
Erik C. Johnson
Brian S. Robinson
Gautam K. Vallabha
Justin Joyce
Jordan K. Matelsky
Raphael Norman-Tenazas
Isaac Western
Marisel Villafañe-Delgado
Martha Cervantes
Michael S. Robinette
Arun V. Reddy
Lindsey Kitchell
P. Rivlin
E. Reilly
Nathan G. Drenkow
Matthew J. Roos
I-J. Wang
Brock Andrew Wester
William R. Gray Roncal
J. Hoffmann
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Papers citing
"Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence"
3 / 3 papers shown
Title
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
209
2,232
0
22 Mar 2023
Algorithmic insights on continual learning from fruit flies
Yang Shen
S. Dasgupta
Saket Navlakha
29
13
0
15 Jul 2021
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
1