ÜBER DIESE EPISODE
AI consumes a lot of power simply because it requires a lot of compute to handle AI calculations. If you could reduce the amount of compute that’s needed to handle those calculations, you could reduce the power that’s required. It sounds simple, but I assure you, it’s anything but.
However, the developers at Velaura AI feel that they have cracked the code, so to speak, in reducing the power needed to run AI computers.
To understand how they’ve done it, and what it means for the future of AI, check out this week’s Embedded Executives podcast, where I spoke to Sanjay Gupta, the Co-founder & President of Velaura AI.
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VERGANGENE FOLGEN SUCHEN
Vorhandene Folgen von Embedded Executive Podcast durchsuchen.
WEITERE EPISODEN IN DIESEM PODCAST
Rich Nass and Steve Brightfield, Chief Product Officer at brainchip, talk tech at embedded world North America.
Ken Briodagh of Embedded Computing Design finds out all about the machine vision and inspection systems from EverFocus at embedded world North America
Ken Briodagh and Pramit Nandy of Microchip talk robotics, Physical AI, and Edge at embedded world North America.
Ken Briodagh and Dustin Seeto of Premio talk tech trends at embedded world North America 2026
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