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Elemental Power: Feeding AI—The Growing Burden of Data and Energy with Vijay Janapa Reddi (Part 2)
Manage episode 470807265 series 1546569
As AI continues to evolve, what must be done to balance innovation with security and sustainability? In Part 2 of their discussion, Elisa and Dr. Vijay Janapa Reddi dive into the growing energy demands of AI systems, their role in national security, and the challenges of ensuring responsible development. They discuss how AI’s reliance on vast amounts of data impacts stability, the risks of limited access to training resources, and the concerns surrounding regulation.
Vijay Janapa Reddi is the John L. Loeb Associate Professor of Engineering and Applied Sciences at Harvard University and Vice President and co-founder of MLCommons, a nonprofit organization committed to accelerating machine learning (ML) innovation for all.
References:
Dr. Janapa Reddi is author and editor of the open-source AI textbook, "Machine Learning Systems"
Nominations Link for the Morris Leibman Awards – Nominate an individual who has demonstrated a sustained commitment and made exceptional contributions to the field of law and national security. Nominations deadline: March 14th
382 episodes
Manage episode 470807265 series 1546569
As AI continues to evolve, what must be done to balance innovation with security and sustainability? In Part 2 of their discussion, Elisa and Dr. Vijay Janapa Reddi dive into the growing energy demands of AI systems, their role in national security, and the challenges of ensuring responsible development. They discuss how AI’s reliance on vast amounts of data impacts stability, the risks of limited access to training resources, and the concerns surrounding regulation.
Vijay Janapa Reddi is the John L. Loeb Associate Professor of Engineering and Applied Sciences at Harvard University and Vice President and co-founder of MLCommons, a nonprofit organization committed to accelerating machine learning (ML) innovation for all.
References:
Dr. Janapa Reddi is author and editor of the open-source AI textbook, "Machine Learning Systems"
Nominations Link for the Morris Leibman Awards – Nominate an individual who has demonstrated a sustained commitment and made exceptional contributions to the field of law and national security. Nominations deadline: March 14th
382 episodes
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