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Karan Goel

Founder / CEO @ Cartesia

Karan Goel is the Founder and CEO of Cartesia, a startup focused on developing multimodal foundation models designed to enhance real-time applications. His academic background is extensive, holding a PhD in Computer Science from Stanford University, a Master's in Machine Learning from Carnegie Mellon University, and dual degrees (Bachelor's and Master's) in Electrical Engineering from the Indian Institute of Technology, Delhi. He has also been recognized with the Siebel Scholarship during his studies.124

At Cartesia, Karan is pioneering the use of state space models (SSMs), which he helped develop during his PhD. These models offer a new architecture for foundation models that promise greater efficiency compared to traditional transformer models, particularly in processing large volumes of data without the limitations of context windows.135 His work aims to create "ubiquitous, interactive intelligence" that can operate seamlessly across various devices.5

Prior to founding Cartesia, Karan gained valuable experience as a Machine Learning Researcher at Salesforce AI Research and has contributed to several notable projects in machine learning and AI.4 He is actively involved in the academic community, having organized workshops and seminars to promote data-centric AI practices.2 In his personal interests, Karan enjoys pottery, e-sports, and engaging with social media.2

Highlights

‪Karan Goel‬ - ‪Google Scholar‬
Jan 1 · cartesia.ai
Real-time multimodal intelligence for every device - Cartesia
Jan 1 · github.com
Karan Goel krandiash - GitHub

Related Questions

What inspired Karan Goel to start Cartesia?
How does Cartesia's multimodal foundation model differ from traditional AI models?
What are some of the key achievements of Karan Goel during his PhD at Stanford?
How does Karan Goel's background in electrical engineering influence his approach to AI?
What are the main applications of Cartesia's technology in real-time applications?
Karan Goel
Karan Goel, photo 1
Karan Goel, photo 2
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Location

Stanford, California, United States