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Suchergebnisse:
ヨシュア・ベンジオ（Yoshua Bengio FRS OC FRSC 、1964年 3月5日 - ）は、カナダの計算機科学者である。 ニューラルネットワークとディープラーニングに関する研究で知られる 。
Watch on. ACM named Yoshua Bengio, Geoffrey Hinton, and Yann LeCun recipients of the 2018 ACM A.M. Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. Bengio is Professor at the University of Montreal and Scientific Director at Mila, Quebec’s Artificial Intelligence ...
7. Mai 2023 · The safest kind of AI is the AI Scientist. It has no goal and it does not plan. It may have theories about why agents in the world act in particular ways, including both a notion of their intentions and of how the world works, but it does not have the machinery to directly answer questions like the AI Agent does.
4. Apr. 2019 · Yoshua Bengio, winner of the prestigious Turing award for his work on deep learning, is establishing international guidelines for the ethical use of AI.
约书亚·本吉奥（Yoshua Bengio），1964年3月5日出生于法国巴黎，2018年图灵奖得主，英国皇家学会院士，蒙特利尔大学教授，Element AI联合创始人。约书亚·本吉奥于1986年获得麦吉尔大学计算机工程学士学位；1988年获得麦吉尔大学计算机科学硕士学位；1991年获得麦吉尔大学计算机科学博士学位；1991年至 ...
Yoshua Bengio Supply chain resilience is increasingly critical in today's dynamic business environment, where disruptions can arise from various external shocks such as natural disasters ...
More precisely, the neural network computes the following function, with a softmax output layer, which guarantees positive probabilities summing to 1: Pˆ(wtjwt−1;wt−n+1)= eywt. ∑ieyi. 3. The biases are the additive parameters of the neural network, such as b and d in equation 1 below.
