VP, AI, Machine Learning, and HPC in the IBM Cognitive Systems business
Sumit Gupta
Talk On: VP, AI, Machine Learning, and HPC in the IBM Cognitive Systems business
research scientist
Eric Saund
Talk On: Cognitive Architecture in Models for Natural and Artificial Intelligence
Developer Advocate for InfluxData
Anais Dotis-Georgiou
Director of Intel’s Neuromorphic Computing Lab
Mike Davies
Talk On: Advancing Neuromorphic Computing from Promise to Breakthrough Technology
CEO and Co-Founder of Rain Neuromorphics
Gordon Wilson
Talk On: Neuromorphic Engineering as the Path to Massive Artificial Neural Networks
CTO and Co-Founder of Anaflash
Seung-hwan Song
Talk On: Neural Network Accelerator Based on Logic Compatible Embedded Flash Memory
Assistant Professor in the School of Computer Science at Carnegie Mellon University
Deepak Pathak
Talk On: Generalization via Curiosity-driven Learning
Cognitive Software Engineer at IBM (Watson)
Grishma Jena
Tutorial : A hands-on introduction to Natural Language Processing in Python
technical staff at Cerebras Systems and an adjunct professor at Stanford University
Ardavan Pedram
Tutorial : Principles of hardware design for ML and AI
Senior Research Scientist at Intel’s Neuromorphic Computing Lab
Garrick Orchard
Tutorial : Intel Loihi Workshop [5 hours]
Don’t Miss Out
In this event as part of series of regularly planned events, we plan to cover the state-of-the art advances in AI technology.
Entire Program schedule along with speaker bios and talk abstracts can be downloaded here as a PDF.
Please see this for sponsorship opportunities.
Day 1
Each talk in the morning session is 50 minutes followed by 10 minutes for Q&A.
Each talk in the afternoon session is 40 minutes followed by 5 minutes for Q&A.
Check In and Breakfast: 8.00am-9:00am
Key Note : "Demystifying AI, Machine Learning, and Deep Learning”,
Sumit Gupta is VP, AI, Machine Learning, and HPC in the IBM Cognitive Systems business, 9.00am-10.00am
Talk 2:“Cognitive Architecture in Models for Natural and Artificial Intelligence”, Eric Saund is a research scientist, developer, and consultant whose work spans multiple fields of intelligent systems, including conversational agents, document analytics, perceptually supported user interfaces, machine learning, and computational vision. Eric received a B.S. from Caltech and a Ph.D. in Cognitive Science from MIT. 10.00am-11.00am
Talk 3 “K-Means for Anomaly Detection”, Anais Dotis-Georgiou is a Developer Advocate for InfluxData . 11.00am-12.00pm
Lunch Break : 12 noon- 1pm
Talk 4: "Advancing Neuromorphic Computing from Promise to Breakthrough Technology", Mike Davies is Director of Intel’s Neuromorphic Computing Lab, 1:00pm-1.45pm
Talk 5: "Neuromorphic Engineering as the Path to Massive Artificial Neural Networks", Gordon Wilson is the CEO and Co-Founder of Rain Neuromorphics, 1.45pm to 2:30pm
Talk 6: "Neural Network Accelerator Based on Logic Compatible Embedded Flash Memory", Seung-hwan Song is a CTO and Co-Founder of Anaflash, 2.30pm to 3.15pm
Coffee Break: 3.15pm-3.45pm
Talk 7: "Squeezing Deep Learning", Siddha Ganju, who is Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia, 3.45pm to 4:30pm
Talk 8: "Generalization via Curiosity-driven Learning", Deepak Pathak will be starting as Assistant
Professor in the School of Computer Science at Carnegie Mellon University, 4.30pm to 5.15pm
If you are interested to speak at our future events including State of AI and ML event on November 8th-9th and our regular joint free events with IEEE and ACM,
Please submit your proposals here!!
DAY2 :
Check In and Breakfast: 8.00am-9:00am
AI and ML Hardware Tutorial Track:
Hardware Tutorial Talk 1: “Principles of hardware design for ML and AI”by Ardavan Pedram, He’s currently a member of technical staff at Cerebras Systems, 9am to 11am.
Hardware Tutorial Talk 2: “ Intel Loihi Workshop” by Garrick Orchard, who’s a Senior Research Scientist at Intel’s Neuromorphic Computing Lab.11am to 12 noon, 1 pm to 3pm, 3.30pm to 5.30pm.
Lunch : 12 noon -1pm, Coffee Break: 3pm-3.30pm
AI and ML Software Tutorial Track:
Software Tutorial Talk 1: “Machine Learning Democratization” by Jorge Torres Is currently Co-founder & CTO of MindsDB. 9am to 12 noon
Lunch : 12 noon -1pm
Software Tutorial Talk 2: “A hands-on introduction to Natural Language Processing in Python” by Grishma Jena is a Cognitive Software Engineer with the Data Science for Marketing team at IBM Watson. 1pm to 3pm, 3.30pm to 4.30pm
Coffee Break: 3pm-3.30pm
Program Chair: Kiran Gunnam, Distinguished Engineer - Machine Learning & Computer Vision
We believe ML and AI should be as accessible as possible. Ticket passes are priced to break-even for covering event expenses and sell out in advance.
Program Schedule
Day 2
August 17th, 2019, Saturday
Tutorials
Hardware Tutorial
CheckIn/ Breakfast: 8.00am-9:00am
Hardware Tutorial Talk 1:
9am to 10 noon
Hardware Tutorial Talk 2:
11am to 12 noon, 1 pm to 3pm, 3.30pm to 5.30pm.
Lunch:
12 noon -1pm
Coffee Break: 3pm-3.30pm
Principles of hardware design for ML and AI [2 hours]
This tutorial covers the basic principles of hardware design for ML and AI. I discuss some of the challenges and potentials in AI workloads from edge inference to cloud-based training. I further motivate why custom accelerators are necessary to gain performance margins we desire in today's workloads. Further, I introduce the hardware implementation techniques for using parallelism, locality, and low precision to implement the core computational kernels used in ML. Finally, we will browse some state of the art AI processors and compare their attributes.
Intel Loihi Workshop [5 hours]
This tutorial provides an introduction to loihi Neuromorphic Computing Platform and Nx Sdk development toolkit via ipynb notebooks. Step by Step tutorials covering basic programming API's and algorithmic examples will be covered.This chip features unique programming microcode learning engine for on chip spiking neural networks. it's an 128-neuromorphic cores and is fabricated in intel's 14nm process.
Software Tutorial
CheckIn/ Breakfast:
8.00am-9:00 am
Software Tutorial
Talk 1:
9am to 12 noon
Software Tutorial
Talk 2:
1pm to 3pm, 3.30pm to 4.30pm
Lunch :
12 noon -1pm
Coffee Break: 3pm-3.30pm
Machine Learning Democratization [3 hours]
It is crucial to rethink how we build tools so that we can provide Machine Learning capabilities to experts in various disciplines that are not necessarily savvy in machine learning, this talk we talk about our project that allows anyone to create and use sophisticated ML in one line of Python code
A hands-on introduction to Natural Language Processing in Python [3 hours]
This workshop introduces Natural Language Processing using Python. Attendees start off with textual data and learn how to process it to derive useful insights that can be used in real-world applications. Sample applications include sentiment analysis, topic modeling, similarity detection
Sponsors
Platinum
sponsor
Z-Park is a professional platform dedicated to providing global acceleration services to local innovation and entrepreneurial communities while providing clients with integrated solutions for cross-border development.
Z-Park has established two innovation centers in North America, one in Silicon Valley, CA, and the other in Cambridge, MA. These large comprehensive innovation centers are hubs for technology and business exchanges for enterprises, investors, and entrepreneurs.
Aiming to bridge top-tiered resources in the US and China, Z-Park provides dedicated workspace, acceleration, and consulting services to help local companies in the US to engage the Chinese market, as well as help Chinese companies to expand their overseas business in compliance with local laws and regulations.
Publicity
sponsors
All About Us
Leading the Way
Our conference is where leaders and innovators meet to share, inspire and network. We’re proud to host some of the most well-known and influential voices in the field.
In this event as part of series of regularly planned events, we plan to cover the state-of-the art advances in AI technology. Registration is
open now!
F A Q
Sponsor
State of AI and ML
Entire Program schedule along with speaker bios and talk abstracts can be downloaded here as a PDF.
Please see this document for sponsorship opportunities.
Our previous sponsors include Western Digital, Intel and Texas Instruments.