Computer-security researchers aim to prevent tech abuse

A Cornell Tech clinic has created a new approach to helping survivors of domestic abuse stop assailants from hacking into their devices and social media to surveil and harass them.

AI enables strategic hydropower planning across Amazon basin

Biologist Alex Flecker and computer scientist Carla Gomes co-led a project that employed AI and around 40 researchers in an attempt to determine optimal placement of around 350 hydropower dams in the Amazon river basin.

‘Underground maps’ segment cities using fashion, AI

Cornell computer scientists have developed a new framework to automatically draw “underground maps,” which accurately segment cities into areas with similar fashion sense and, thus, interests.

Smart necklace recognizes English, Mandarin commands

Cheng Zhang, assistant professor of information science, and doctoral student Ruidong Zhang have developed a silent-speech recognition device, SpeeChin, that can identify silent commands using images of skin deformation in the neck and face.

René Kizilcec named Jacobs Foundation Fellow

René Kizilcec has been named a 2022-2024 Jacobs Foundation Fellow and will examine effective, affordable hybrid learning in secondary-school education in low-resource areas.

Around Cornell

Student innovation shines in Animal Health Hackathon

Students honed their business acumen for helping all creatures great and small at the Animal Health Hackathon, held virtually Feb. 4-6.

Two Cornellians will compete in ‘Jeopardy!’ Feb. 8

Andrés Quijano ’22 will compete at 7:30 p.m. on “Jeopardy!” and Catherine Zhang ’22 will compete at 8 p.m. on the “Jeopardy!” National College Championship, on ABC and Hulu.

Cornell software enables 3D printing on space station

The challenges of 3D printing in space may be overcome thanks to modeling software that was created at Cornell and successfully tested aboard the international space station on Jan. 1.

Xenophobia meter aims to track anti-immigrant hate speech

With funding from Global Cornell, the Xenophobia Meter project aims to track online anti-immigrant hate speech in real time using machine learning.