Blog
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Hume Powers Projects at UC Berkeley LLM Hackathon
UC Berkeley hosted the world's largest AI hackathon on June 17-18, with over 1200 students developing diverse applications using large language models and open-source APIs. Hume's APIs were used alongside LLMs in 57 of the 240 projects and three of the 12 finalists, ranging from healthcare devices to education tools, indicating its wide applicability and versatility.
Aug 11, 2023
Hume AI Raises $12.7M in Series A Funding
We're pleased to announce that we've raised a $12.7M Series A led by Union Square Ventures! We're excited to be partnering with leading investors who understand the importance of technology that can align itself with human well-being using the same cues humans do: our expressions.
Alan Cowen / Feb 16, 2023
Hume AI Publication in Nature Human Behavior: Deep Learning & Vocal Bursts in Different Cultures
Our first in a series of publications is in Nature Human Behavior! "Deep learning reveals what vocal bursts express in different cultures" addresses a key question at the intersection of AI and psych: What does the voice convey without words? And do chuckles, gasps, sighs, etc. have the same meaning across cultures?
Jeffrey Brooks / Jan 11, 2023
Tutorial: Hands-on with Hume AI’s API
Working with the Hume AI Platform is easy! Built atop rigorous scientific studies of human expressive behavior, it's the only toolkit you need to measure nonverbal cues in audio, video, and images. Get started with our API, and integrate our cutting-edge models into your applications.
Sep 9, 2022
Episode 25 Myths About Emotion Science | The Feelings Lab
Do expressions “reveal our emotions”? What did Darwin think? Is “emotion AI” really what it sounds like? In this episode, Dacher Keltner helps us unpack popular myths and misconceptions about emotion science, including how recent headlines have departed from peer-reviewed science.
Aug 30, 2022
Can AI Teach Itself to Improve Our Well-Being?
The future of technology hinges on the measurement of well-being, the importance of which can’t be overstated. As emotion scientists work with AI practitioners to translate this knowledge into ML models, we ask: Can AI teach itself to make the world a better, happier place?
Alan Cowen / Aug 9, 2022