Delivering AI Applications with Open Source Platforms at Scale
- Pantelis Monogioudis, Gurudutt Hosanghadi, Lorant Farkas, Chris White
- Augmented Intelligence & Devices Research Lab
- Bell-Labs, Murray Hill, NJ, USA
20 years of experience in leading Research & Development projects. I started in wireless communications (PHY/MAC) in the 90s and in 2000’s started diversifying into Machine Learning initially for wireless networks and later for all sorts of applications. Currently leading ~15 researchers in Murray Hill NJ and Budapest in Applied Machine Learning working on real-time multisensory machine learning applications. 1 (failed) startup, 15 journal publications and 50 patents issued/pending. As of spring 2019 I am also with the Computer Science department of NJIT. I live in Randolph, NJ with my wife, my two boys Alex & Nicholas and my dog Bleu.
We are hiring ML researchers / engineers in Paris-Saclay region - please get in touch with me via linkedin / twitter if you are interested.
A nautical analogy on where we are today with AI
DARPA's AI development in waves
AGI (kind of)
Meaning and resoning in NLP, Inference and Representation of Causality, Uncertainty Representations, Long-term Goal Planning, World Models
AI in Health
What we need from AI Architecture
Composabilitypointing to microservices and atomic operations.
Scalability & Resiliencepointing to cloud-native (Kubernetes and FaaS) architectures.
Portabilityacross workstation, training rigs, dedicated edge devices and public clouds.
AI Architecture Building Blocks - Deep Learning Foundation
www.acumos.org - the need for AI marketplaces
What other opportunities are there ?
Video AI opportunities in surveillance
Deep Learning in 2017
After spending 3200W, 2-socket CPU, 8 x GTX1080Ti, 16 x 720p cameras, algorithms are unable to pass the mirror test.
2 year old
She figures it out in less than 1 min.