Mathematical Foundations of Artificial Intelligence
U.S. National Science Foundation
Who can apply
*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. - <span>Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.</span> *Who May Serve as PI: <div class="OutlineElement Ltr SCXW177155816 BCX0"> <p class="Paragraph SCXW177155816 BCX0"><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW177155816 BCX0">As of the date the proposal is </span><span class="NormalTextRun SCXW177155816 BCX0">submitted</span><span class="NormalTextRun SCXW177155816 BCX0">, any PI, co-PI, or senior/key personnel must hold either:</span></span></span><span class="EOP TrackedChange SCXW177155816 BCX0" data-ccp-props="{"></span> <ul> <li><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none">a tenured or tenure-track position, </span></span><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none">or</span></span><span class="EOP TrackedChange SCXW177155816 BCX0" data-ccp-props="{"></span></li> <li><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none">a primary, full-time, paid appointment in a research or teaching position</span></span></li> </ul> <span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW177155816 BCX0">at a US-based campus of an organization eligible to </span><span class="NormalTextRun SCXW177155816 BCX0">submit</span><span class="NormalTextRun SCXW177155816 BCX0"> to this solicitation (see above), with exceptions granted for family or medical leave, as </span><span class="NormalTextRun SCXW177155816 BCX0">determined</span><span class="NormalTextRun SCXW177155816 BCX0"> by the </span><span class="NormalTextRun SCXW177155816 BCX0">submitting</span><span class="NormalTextRun SCXW177155816 BCX0"> organization. Individuals with </span></span></span><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none">primary</span></span><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none"> appointments at for-profit non-academic organizations or at overseas branch campuses of U.S. institutions of higher education are not eligible.</span></span><span class="EOP TrackedChange SCXW177155816 BCX0" data-ccp-props="{"></span></div>
About this opportunity
Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation...