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有哪些研究通用人工智能的公司Nnaisense 和 DeepMind 的研究方向有哪些不同

NNAISENSE is an outgrowth of my academic labs in Munich and in Switzerland, where we have been working on Artificial General Intelligence since my first publication on "learning to learn" or “recursive self-improvement” in 1987. NNAISENSE is pronounced like "nascence," because it\u0026#39;s about the birth of a general purpose Neural Network-based Artificial Intelligence (NNAI). It has 5 co-founders (CEO Faustino Gomez, Jan Koutnik, Jonathan Masci, Bas Steunebrink, and myself), brilliant advisors (Sepp Hochreiter, Marcus Hutter, Jaan Tallinn), outstanding employees, and revenues through ongoing state-of-the-art applications in industry and finance. We believe that the current commercial success of our algorithms is just the beginning, and that we can go far beyond what\u0026#39;s possible today, through novel variants of meta-learning and artificial curiosity and creativity and optimal program search and large reinforcement learning recurrent neural networks, to pull off the big practical breakthrough that will change everything, in line with my old motto since the 1970s: "build an AI smarter than myself such that I can retire."How is it different from DeepMind? Of course, I cannot speak for other companies. However, DeepMind is heavily influenced by former students of my lab. In particular, DeepMind\u0026#39;s first PhDs in Artificial Intelligence and Machine Learning were former PhD students in my research group at IDSIA, one of them DeepMind\u0026#39;s co-founder (Shane Legg), one of them the first employee (Daan Wierstra). (The other two co-founders were not from my lab and had different backgrounds in biological neuroscience and business.) Other former PhD students of mine joined DeepMind later, including Alex Graves, first author of DeepMind\u0026#39;s recent Nature paper, and Tom Schaul, co-author of my lab\u0026#39;s 2010 paper on Atari-Go. BTW, thanks to Google DeepMind for generously funding our research!
【有哪些研究通用人工智能的公司Nnaisense 和 DeepMind 的研究方向有哪些不同】 Juergen Schmidhuber 为机器之心 | GMIS 2017 全球机器智能峰会嘉宾，账号由Juergen Schmidhuber授权，机器之心代为注册和运营，以上为Juergen Schmidhuber的英文版答案，以下为机器之心翻译答案供大家参考。
Nnaisense是我在慕尼黑和瑞士实验室的成果之一，我们从1987年起就致力于研究通用人工智能，从“学习如何学习”和“递归自我完善”我的早期论文开始。Nnaisense读起来有点像“Nascence”，它有关基于神经网络的通用人工智能（NNAI）。它有五位创始人（CEO Faustino Gomez，此外还有Jan Koutnik、Jonathan Masci、Bas Steunebrink和我自己），拥有强大的顾问阵容（Sepp Hochreiter、Marcus Hutter、Jaan Tallinn等），还有优秀的员工。它已在工业和金融领域有了自己的盈利项目。我们认为，算法目前的商业成功只是一个开始，我们可以远远超出今天的可能性，通过新的元学习和机器好奇心创造更多可能性，优化程序搜索和大规模强化学习神经网络的效率，带来新的突破，改变一切。我曾在20世纪70年代说过：“构建一种人工智能，超越我自己，然后让我退休。”
它与DeepMind有什么不同？虽然我不了解其他公司，但DeepMind的员工中有很多是从我的实验室中走出来的。事实上，DeepMind第一个人工智能和机器学习博士是我在IDSIA的组中出来的，DeepMind的联合创始人（Shane Legg）他们的首批员工之一（Daan Wierstra）都是我的学生（另外两名联合创始人并不来自我的实验室，他们有着其他专业背景——生物神经科学和商科）。我的一些其他博士在其后也加入了DeepMind，包括Alex Graves——DeepMind最近发表在《Nature》上论文的第一作者；Tom Schaul——我的实验室在2010年Atari-Go论文的作者。此外，我还要感谢谷歌DeepMind慷慨地资助我的研究！


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