Are you an AI researcher at an academic institution? Are you anxious you are not coping with the current pace of AI advancements? Do you feel you have no (or very limited) access to the computational and human resources required for an AI research breakthrough? You are not alone; we feel the same way. A growing number of AI academics can no longer find the means and resources to compete at a global scale. This is a somewhat recent phenomenon, but an accelerating one, with private actors investing enormous compute resources into cutting edge AI research. Here, we discuss what you can do to stay competitive while remaining an academic. We also briefly discuss what universities and the private sector could do improve the situation, if they are so inclined. This is not an exhaustive list of strategies, and you may not agree with all of them, but it serves to start a discussion.
翻译:你是一名在学术机构从事AI研究的学者吗? 你是否感到自己无法跟上当前AI发展的步伐? 你是否感到自己没有(或非常有限的)计算和人力资源来实现AI的研究突破? 你并不孤单,我们也有同样的感受。越来越多的AI学者无法找到足够的手段和资源来在全球范围内进行竞争。这是一个相对较新的现象,但是这种情况正在加速,私人机构正在投入大量的计算资源进行尖端AI研究。在这里,我们将讨论你可以做些什么来保持竞争力,同时仍然保持学术地位。我们还将简要讨论大学和私营部门可以做些什么来改善现状,如果它们愿意的话。这不是一份详尽的策略清单,你可能不同意其中的所有策略,但它可以作为展开讨论的起点。