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Benefits, Challenges, and the Future of Edge AI with Lt. Gen. Jack Shanahan
Latent AI enables embedded adaptive AI by optimizing computing, power and memory without requiring changes to existing AI/ML infrastructure and frameworks
DSI AI for Defense Panel: “Tactical Edge AI for JADC2”
Reduce your time to market with LEIP Recipes
Demystifying Edge AI Development” Latent AI’s Fireside Panel with Steve Jurvetson
5G Open Innovation Lab Presents: Beyond What’s Next with Latent AI
Booz Allen Hamilton’s Executive Vice President and Chief Innovation Officer Susan Penfield and Jags Kandasamy on Partnering to Bring Emerging Tech to Government
tinyML Talks – Sek Chai: Adaptive AI for a Smarter Edge
Jags Kandasamy Presents Latent AI at Auto | Mobility Tech 6: Workshop Not At Bonny Doon
This demo shows how a tracking algorithm built with LEIP can increase the efficiency of models and help it detect and track individual persons/objects while operating on low SWaP devices like drones. The video shows individual persons being tracked across multiple data sources. The model is running on an Android phone.
LEIP optimized object detection demonstrates up to 30x speedup. Floating Point vs. Int8 on a Samsung smartphone.
LEIP 2.8 New Functionality Overview
Latent AI LEIP Recipes Demo
LEIP running on Android
Latent AI’s Adaptive AI
Learn how LEIP scales reliable delivery to the edge with repeatable and secure processes that produce models optimized for memory, power, and compute.
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