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Cornell Tech’s academic environment encourages tight integration across disciplines, couples fundamental research with practice, and supports societal and commercial ventures alongside research and education.

In addition to world-class academic work, a distinguishing characteristic of our research is that it engages deeply with external communities, organizations, and industry to address real-world problems and contexts that amplify the direct societal and commercial impact of our research.


Research Events

Angjoo Kanazawa

Seminar @ Cornell Tech: Angjoo Kanazawa

"Perceiving Humans in the 3D World": Since the dawn of civilization, we have functioned in a social environment where we spend our days interacting with other humans. As we approach a society where intelligent systems and humans coexist, these systems must also interpret and interact with humans that reside in the 3D world.
Demba Ba

Seminar @ Cornell Tech: Demba Ba

"Deeply-Sparse Signal Representations, Artificial Neural Networks and Hierarchical Processing in the Brain": Two important problems in neuroscience are to understand 1) how the brain represents sensory signals hierarchically and 2) how populations of neurons encode stimuli and how this encoding is related to behavior. My talk will focus on the tools I have developed to answer the first question.
Yaron Singer

Seminar @ Cornell Tech: Yaron Singer

"Algorithms in the Era of Machine Learning: An Inconvenient Truth"" The traditional approach in algorithm design assumes that there is an underlying objective that is known to the algorithm designer and the focus is on efficiently optimizing that objective. In many applications however, the objectives we aim to optimize are not known but rather learned from data. So what are the guarantees of the algorithms we develop and teach when the input is learned from data?