TY - JOUR
T1 - Can a computer think like a baby?
AU - Hespos, Susan
AU - Shivaram, A.
PY - 2022/9
Y1 - 2022/9
N2 - Artificial intelligence systems have struggled to understand common-sense laws of the physical world, even though this 'intuitive physics' is rapidly acquired by young humans. Piloto et al. demonstrate that a deep learning system closely modelled on infant cognition outperforms the more traditional 'learning from scratch' systems.
AB - Artificial intelligence systems have struggled to understand common-sense laws of the physical world, even though this 'intuitive physics' is rapidly acquired by young humans. Piloto et al. demonstrate that a deep learning system closely modelled on infant cognition outperforms the more traditional 'learning from scratch' systems.
UR - https://hdl.handle.net/1959.7/uws:78439
UR - https://www.proquest.com/scholarly-journals/can-computer-think-like-baby/docview/2715917092/se-2?accountid=36155
U2 - 10.1038/s41562-022-01395-7
DO - 10.1038/s41562-022-01395-7
M3 - Article
C2 - 35817933
SN - 2397-3374
VL - 6
SP - 1191
EP - 1191
JO - Nature Human Behaviour
JF - Nature Human Behaviour
IS - 9
ER -