Decoy carcasses reveal how often stranded dolphins are found

The experiment gave researchers data on the rates at which stranded dolphins are found and reported, and identified areas where fewer decoys were detected, which may merit extra scrutiny by trained observers.

Mixing physical, virtual worlds to drive home climate urgency

The Communal eXtended-Reality (CXR) system is a cutting-edge blend of the physical and digital worlds in which virtual scenes are overlaid onto the real world, designed to engage communities in new ways. 

Corn-shaped seed pellets to boost habitat for monarchs, bees

Cornell innovation allows growers to use corn seed planting machines to plant strips of milkweed or wildflowers next to their fields. 

Bald eagles face highest lead risk of NYS deer scavengers

Bald eagles are the most vulnerable to lead poisoning from hunters' ammunition of more than 30 species known to scavenge deer carcasses in New York state, Cornell research finds.

Bee antidote to deadly pesticides shows promise

An antidote to pesticide poisoning in bees shows promising early results in tests done with common eastern bumblebees. 

Study proves transfer of feline coronavirus between domestic and wild cats

A new study from College of Veterinary Medicine researchers finds the first genetic evidence of feline coronavirus transmission between a captive wild cat and a domestic cat, a discovery that could help combat this little-known virus.

Diagnostic tool identifies puzzling inflammatory diseases in kids

A Cornell-led collaboration developed machine-learning models that use cell-free molecular RNA to diagnose pediatric inflammatory conditions that are difficult to differentiate. 

Brevity is money when using AI for data analysis

A new computational system called Schemonic, developed by Cornell researchers, cuts the costs of using large language models such as ChatGPT and Google Bard by combing large datasets and generating what amounts to “CliffsNotes” versions of data.

AI boosts indoor food production’s energy sustainability

Integrating AI into environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed a growing world population.