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pro vyhledávání: '"Alford, Simon"'
Autor:
Alford, Simon
Current deep learning systems are highly specialized to whatever task they are designed to solve. Their application to more general domains is limited by their inability to form explicit, systematic knowledge and reason over it. Such an ability would
Externí odkaz:
https://hdl.handle.net/1721.1/139305
Autor:
Alford, Simon, Gandhi, Anshula, Rangamani, Akshay, Banburski, Andrzej, Wang, Tony, Dandekar, Sylee, Chin, John, Poggio, Tomaso, Chin, Peter
One of the challenges facing artificial intelligence research today is designing systems capable of utilizing systematic reasoning to generalize to new tasks. The Abstraction and Reasoning Corpus (ARC) measures such a capability through a set of visu
Externí odkaz:
http://arxiv.org/abs/2110.11536
Autor:
Kepner, Jeremy, Alford, Simon, Gadepally, Vijay, Jones, Michael, Milechin, Lauren, Reuther, Albert, Robinett, Ryan, Samsi, Sid
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches to developing new solutions for analyzing graphs and sparse data. Sparse AI analytics present unique scalability difficulties. The Sparse Deep Neural Network (DNN) Challenge draws
Externí odkaz:
http://arxiv.org/abs/2004.01181
Akademický článek
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Autor:
Kepner, Jeremy, Alford, Simon, Gadepally, Vijay, Jones, Michael, Milechin, Lauren, Robinett, Ryan, Samsi, Sid
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches to developing new solutions for analyzing graphs and sparse data. Sparse AI analytics present unique scalability difficulties. The proposed Sparse Deep Neural Network (DNN) Challe
Externí odkaz:
http://arxiv.org/abs/1909.05631
Improvements in the performance of deep neural networks have often come through the design of larger and more complex networks. As a result, fast memory is a significant limiting factor in our ability to improve network performance. One approach to o
Externí odkaz:
http://arxiv.org/abs/1810.00299
Autor:
Zaldua, Steve, Damen, Frederick C., Pisharody, Rohan, Thomas, Riya, Fan, Kelly D., Ekkurthi, Giri K., Scheinman, Sarah B., Alahmadi, Sami, Marottoli, Felecia M., Alford, Simon, Cai, Kejia, Tai, Leon M.
Publikováno v:
In Heliyon May 2020 6(5)