The hardware behind analog AI → http://ibm.biz/analog-AI-hardware
Check out the AI hardware toolkit → https://github.com/IBM/aihwkit
Have you ever thought about how the apps and services you use every day rely on Artificial Intelligence - and how much energy that higher level computing requires?
In this video, Nicole Saulnier explains how the technique of in-memory computing can be used to make AI more energy efficient, and how you can get involved through IBM's open source analog AI hardware toolkit.
Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now
Get started for free on IBM Cloud → http://ibm.biz/free-IBM-Cloud
#AI #BigData #DataScience #ITModernization
Choose to Build with AI
Matched to AI Hardware
AI Maker Residence 3
The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code.
Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.
◆ Fri 09 Oct 2026◆ KOKO Cafe, London◆ With Nick Sarafa