INFORMAZIONI SU QUESTO EPISODIO
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.
Inglese
Stati Uniti
TRASCRIZIONE 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
CERCA TRA GLI EPISODI PASSATI
Cerca gli episodi passati di Embedded Executive Podcast.
ALTRI EPISODI IN QUESTO PODCAST
Ken Briodagh and Dustin Seeto of Premio talk tech trends at embedded world North America 2026
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.
Rich Nass and Steve Brightfield, Chief Product Officer at brainchip, talk tech at embedded world North America.
Dichiarazione di non responsabilità: Il podcast e la grafica incorporati in questa pagina provengono da Rich Nass, Embedded Computing Design, che è di proprietà del suo proprietario e non è affiliato o approvato da Listen Notes, Inc.
MODIFICA
Grazie, ci hai aiutato a mantenere aggiornato il database dei podcast.
