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Human-AI Collaboration for Creativity with Devi Parikh - #399

Human-AI Collaboration for Creativity with Devi Parikh - #399

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Human-AI Collaboration for Creativity with Devi Parikh - #399

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
45 minutes
Released:
Aug 10, 2020
Format:
Podcast episode

Description

Today we’re joined by Devi Parikh, Associate Professor at the School of Interactive Computing at Georgia Tech, and research scientist at Facebook AI Research (FAIR).  While Devi’s work is more broadly focused on computer vision applications, we caught up to discuss her presentation on AI and Creativity at the CV for Fashion, Art and Design workshop at CVPR 2020. In our conversation, we touch on Devi’s definition of creativity,  explore multiple ways that AI could impact the creative process for artists, and help humans become more creative. We investigate tools like casual creator for preference prediction, neuro-symbolic generative art, and visual journaling.  The complete show notes for this episode can be found at twimlai.com/talk/399. A quick reminder that this is your last chance to register for tomorrow’s Model Explainability Forum! For more information, visit https://twimlai.com/explainabilityforum.
Released:
Aug 10, 2020
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.