Ranjit Singh, Ph.D. ’20, and Steven Jackson, associate professor of information science in Cornell Bowers CIS, examined how India’s biometrics-based identification system, Aadhaar, works for the country’s nearly 1.4 billion people.
Cornell researchers in natural language processing have found that the word lists packaged and shared amongst researchers to measure for bias in online texts oftentimes carry words, or “seeds,” with baked-in biases and stereotypes, which could skew findings.
Using a Packard Fellowship for Science and Engineering from the David and Lucile Packard Foundation, Peter McMahon, assistant professor of applied and engineering physics, aims to harness the power of photonics to build processors for neural networks that are more than 1,000 times more energy efficient.
The collaborative nature of innovation was one of the key messages author Steven Johnson delivered during a campus visit Sept. 22, as a guest of the Milstein Program in Technology & Humanity.
Fumbling to find flashlights during blackouts soon may be a memory, as quantum computing and AI may quickly solve an electric grid’s hiccups so fast, humans may not notice.
Gifts totaling $10 million – $5 million from Steve Conine ’95 and his wife Alexi Conine ’96, and $5 million from Niraj Shah ’95 and his wife Jill Shah – will support construction of a new building for the Cornell Ann S. Bowers College of Computing and Information Science.
During the pandemic, IT and audio-visual staff equipped many classroom spaces on the Ithaca campus with specialized Zoom Rooms software. These setups allowed instructors to deliver course material, including views of presentations, board notes, and documents, to both in-person and remote students. Recently, Zoom presented Cornell with an award recognizing this innovative use of their applications.
A Cornell team won first place in the ALFRED Challenge (Action Learning From Realistic Environments and Directives) at the 2021 EAI@CVPR (Embodied Artificial Intelligence workshop at the Conference on Computer Vision and Pattern Recognition).
An interdisciplinary research team led by Carla Gomes, professor of computing and information science, has developed Deep Reasoning Networks, which combine deep learning with an understanding of the subject’s boundaries and rules.
