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Sumit Gupta

research scientist

Eric Saund

Talk On: Cognitive Architecture in Models for Natural and Artificial Intelligence

Bio and Abstract

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

Bio and Abstract

CEO and Co-Founder of Rain Neuromorphics

Gordon Wilson

Talk On: Neuromorphic Engineering as the Path to Massive Artificial Neural Networks

Bio and Abstract

CTO and Co-Founder of Anaflash

Seung-hwan Song

Talk On: Neural Network Accelerator Based on Logic Compatible Embedded Flash Memory

Bio and Abstract

Self-Driving Architect at Nvidia

Siddha Ganju

Talk On:  Squeezing Deep Learning

Bio and Abstract

Assistant Professor in the School of Computer Science at Carnegie Mellon University

Deepak Pathak

Talk On:  Generalization via Curiosity-driven Learning

Bio and Abstract

Co-founder & CTO of MindsDB

Jorge Torres

Talk On: Machine Learning Democratization

Bio and Abstract

Cognitive Software Engineer at IBM (Watson) 

Grishma Jena

Tutorial : A hands-on introduction to Natural Language Processing in Python

Bio and Abstract

technical staff at Cerebras Systems and an adjunct professor at Stanford University

Ardavan Pedram

Tutorial : Principles of hardware design for ML and AI

Bio and Abstract

Senior Research Scientist at Intel’s Neuromorphic Computing Lab

Garrick Orchard

Tutorial : Intel Loihi Workshop [5 hours]

Bio and Abstract

 

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

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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

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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!

Raising the Bar

ValleyML.ai will highlight leading AI research, as well as cover the successful implementation of machine learning and AI in business.  Speakers will address unique roadblocks and cover innovative solutions to real problems faced by ML and AI practitioners and teams.

 

F A Q

 

CONTACT US

 
 

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.