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  1. 6 de mai. de 2024 · Des IA "garde-fous" pour protéger l'Humanité Dans une interview exclusive à Monde Numérique et Mon Carnet, le professeur Yoshua Bengio, co-inventeur du deep learning, met en garde contre les risques de l'intelligence artificielle.

  2. 5 de mai. de 2024 · In his keynote talk, Yoshua Bengio, a Canadian computer scientist and one of the world’s foremost experts in AI and deep learning, spoke of ensuring AI systems have the “right goals” aligned with human values and the difficulty in controlling AI behavior effectively, illustrating scenarios where AI might seek to take control of its reward mechanisms, leading to adverse consequences for ...

  3. dblp.org › db › confdblp: ICLR 2015

    Há 6 dias · Yoshua Bengio, Yann LeCun: 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings. 2015

  4. 2 de mai. de 2024 · Il affirme qu'une machine «surhumaine», aussi intelligente qu'un être humain, pourrait être développée d'ici vingt ans.

  5. Há 11 horas · arXiv:2405.18540v1 Announce Type: cross Abstract: Red-teaming, or identifying prompts that elicit harmful responses, is a critical step in ensuring the safe and responsible deployment of large language models (LLMs). Developing effective protection against many modes of attack prompts requires discovering …

  6. 17 de mai. de 2024 · Université de Montréal professor Yoshua Bengio speaks at the AI Safety Summit in Bletchley Park, Milton Keynes, England, in November 2023. Photo: AP Photo/Alastair Grant As policymakers everywhere consider what to do about AI, the world’s highest-stakes literature review concluded that the field is moving very fast—but it’s not clear where it’s going.

  7. 8 de mai. de 2024 · Vamos a comenzar explicándote quién es exactamente Yoshua Bengio. Nos encontramos ante un destacado científico que nació en París en el año 1964. Pese a que actualmente cuenta con nacionalidad canadiense. Es conocido por toda la comunidad por su contribución en el campo de las redes neuronales artificiales y el aprendizaje profundo.