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.
Please see this for sponsorship opportunities.
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,
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
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.
August 17th, 2019, Saturday
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.
12 noon -1pm
Coffee Break: 3pm-3.30pm
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.
9am to 12 noon
1pm to 3pm, 3.30pm to 4.30pm
12 noon -1pm
Coffee Break: 3pm-3.30pm
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
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
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.
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
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.
Frequently asked questions
What are my transportation/parking options for getting to and from the event?
The event will be held at Z-Park Silicon Valley, 4500 Great America Pkwy, Santa Clara, CA-95054. There is plenty of parking available in the building parking lot.
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
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 student and 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. We will send instructions to the attendees after the course on the form that need to be filled. An example of IEEE Certificate is provided here:
IEEE Certificates guarantee that education program meets IEEE standards, and offers some of the most relevant content that engineers need to stay ahead.
IEEE Certificates will help technical professionals:
- Gain a competitive advantage
- Update their knowledge and skills
- Build professional credibility
- Earn the CEUs/PDHs they need to keep their licenses current
A not-for-profit organization, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.
Please see this https://www.ieee.org/education/certificates/ceus-faqs.html for more information on IEEE Certificates.
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.
What are your next events?
How do I sponsor this event?
Please see the end of this page, https://www.valleyml.ai/sam2 for the sponsorship details.
F A Q
State of AI and ML
Please see this document for sponsorship opportunities.
Our previous sponsors include Western Digital, Intel and Texas Instruments.