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State of AI and ML – Summer 2019

Event Details

In this event as part of series of regularly planned events, we plan to cover the state-of-the art advances in artificial intelligence (AI) and machine learning (ML) technology.

WhenAug 16, 2019, 8:00 AM – Aug 17, 2019, 6:00 PM
WhereZ-Park Silicon Valley, 4500 Great America Pkwy, Santa Clara, CA 95054, USA
Sumit Gupta

Sumit Gupta

VP, AI, Machine Learning, and HPC in the IBM Cognitive Systems business

Talk On: VP, AI, Machine Learning, and HPC in the IBM Cognitive Systems business

Bio and Abstract

Eric Saund

Eric Saund

Research Scientist

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

Bio and Abstract

Mike Davies

Mike Davies

Director of Intel’s Neuromorphic Computing Lab

Talk On: Advancing Neuromorphic Computing from Promise to Breakthrough Technology

Bio and Abstract

Seung-hwan Song

Seung-hwan Song

CTO and Co-Founder of Anaflash

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

Bio and Abstract

Deepak Pathak

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

Talk On:  Generalization via Curiosity-driven Learning

Bio and Abstract

Grishma Jena

Grishma Jena

Cognitive Software Engineer at IBM (Watson) 

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

Bio and Abstract

Dr Kiran Gunnam

Dr. Kiran Gunnam

Anais Dotis-Georgiou

Anais Dotis-Georgiou

Gordon Wilson

Gordon Wilson

CEO and Co-Founder of Rain Neuromorphics

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

Bio and Abstract

Siddha Ganju

Siddha Ganju

Self-Driving Architect at Nvidia

Talk On:  Squeezing Deep Learning

Bio and Abstract

Jorge Torres

Jorge Torres

Co-founder & CTO of MindsDB

Talk On: Machine Learning Democratization

Bio and Abstract

Ardavan Pedram

Ardavan Pedram

Technical Staff at Cerebras Systems and an adjunct professor at Stanford University

Tutorial : Principles of hardware design for ML and AI

Bio and Abstract

Garrick Orchard

Garrick Orchard

Senior Research Scientist at Intel’s Neuromorphic Computing Lab

Tutorial : Intel Loihi Workshop [5 hours]

Bio and Abstract

Program Schedule

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.

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!!

Day 2

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.

Tutorials

Day 2, August 17th, 2019, Saturday

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

Talk 1:

9am to 12 noon

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

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

ACM

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.

Features

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.

Why Should I attend

For this event, we focus on AI Accelerators, Self-Driving and Face Processing. We feature five thought leaders from AI hardware and Computing architectures, Autonomous systems and Computer Vision.

Come hone your career. Learn about practical, and futuristic applications of AI and ML in broad spectrum of industries. Join today!

Developments in the field are happening fast – for practitioners, it’s important to stay on top of the latest advances. Business leaders know that the implementation of new technology brings specific challenges.

The goal of ValleyML.ai is to empower practitioners and business leaders with direct contact to the people that matter most.

In the series of meetings, we plan to cover the state-of-the art advances in AI and ML technology.

We’re committed to helping you get the most out of the ValleyML.ai

Joining together under one roof will be:

  • Technical Experts
  • Machine Learning/deep learning PhDs and researchers
  • Business leaders
  • Industry experts

FAQs

What is ValleyML.ai?

Valley Machine Learning and Artificial Intelligence (ValleyML.ai) is the most active and important community of ML & AI Companies and Start-ups, Data Practitioners, Executives and Researchers in the Silicon Valley. ValleyML.ai bring together business leaders and applied machine learning and deep learning practitioners. We collaborate with other non-profit professional organizations such as SF Bay ACM, IEEE Silicon Valley AI/CS/CAS/ITSoC/RAS/SSCS Chapters and other AI related organizations bringing a series of regularly planned events, seminars, conferences, and workshops. We plan to cover the state-of-the-art advancements in AI technology. We have free tickets for IEEE/ACM students, members in transition and discounted tickets for IEEE/ACM members. Events sponsored by corporations or organizations may charge the attendee fees to cover the expenses (such as venue, refreshments, speaker fees, preparation fees for course materials and software, revenue sharing with other non-profits such as SF Bay ACM who helps on publicity) associated with the event. Attendees for most of the workshops get IEEE Certificates for Professional Development Hours if the courses are organized by Approved Provider of IEEE Certificates. Each event would be financially sponsored and organized by a corporation or an organization working on ML/AI. ValleyML.ai focuses on designing the overall technical program and the speaker selection. Please see our past events at https://www.valleyml.ai/past-events

What are your next events?

You can signup for our mailing list on the website to get informed on our next events.
Join our meetup to engage in discussions with fellow attendees and speakers

What is the advantage of joining your mailing lists or meetups?

We will post additional discount codes to both meetup and our mailing list in addition to the existing discounts. We will also post limited free tickets to these groups on first-come, first-serve basis.

Will the attendees get IEEE Certificate for Professional Development Hours for this event?

Yes. This event is reviewed and approved by IEEE continuing Education. Note that there is no additonal fee for doing the paperwork and the certificate for paid attendees. However there is an additional fee of $25 for attendees with free tickets as this is a mandatory fee charged by IEEE Continuing Education. Please contact us at the email from which your eventbrite registration ticket is sent. Apollo AI, who is an approved IEEE Certificate Provider, is working with IEEE (https://www.ieee.org/education/continuing-education.html) to provide this.

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