Doctoral student, and her bird, co-designed NomadicPerch, a felted wearable that temporarily turns a hand into a mobile perch.
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Strike a pose: Creating more realistic multi-person images By Tom Fleischman, Cornell Chronicle
Generating an image of a person on a computer, using text prompts, is easy. Generating one with two people is similarly simple. But creating an image of multiple people actually doing something, and faithfully reproducing not just the people but that thing they’re all doing? Not so easy. A Cornell research group has devised a way to do just that, incorporating the poses of all individuals in an image to inform the generation, making the scene more believable and accurate.
Amazon partnership establishes Cornell AI security initiative
Artificial intelligence agents – also known as agentic AI – can now build and launch software based on a few prompts. But AI agents can produce incorrect, misleading, and even malicious code that hackers can exploit. Thanks to a gift from Amazon, Cornell will lead the development of safety protocols to shore up AI agents and the code they produce.
2026 LinkedIn grant recipients to drive innovation in GenAI, LLMs
A group of scholars from the Cornell Ann S. Bowers College of Computing and Information Science are receiving grants from the strategic partnership between the college and LinkedIn, the world’s largest professional network, to drive innovation in areas like generative artificial intelligence (AI), AI architecture, and large language models (LLM).

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