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Choose Your Weapon: Survival Strategies for Depressed AI Academics

2023·8 Zitationen·arXiv (Cornell University)Open Access
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8

Zitationen

2

Autoren

2023

Jahr

Abstract

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.

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Themen

Scientific Computing and Data ManagementArtificial Intelligence in Healthcare and EducationBig Data and Business Intelligence
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