TBA, Boston, MA

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Event Date Thu Oct 20 EDT (in 5 months)
Location TBA
Boston, MA
Region Americas

Enable unparalleled AI value: Optimize AI hardware for your business' data requirements

The most important opportunity to survey the architectural roadmap of AI accelerator technologies.

2022 is the year of AI accelerators:
This event will continue it's AI Hardware World tour assembling leaders in AI hardware and architecture from the world's largest organizations and most exciting AI Chip startups in Boston to share success stories, experiences and challenges.

Why attend?
Discover your next potential partner, acquisition or investor. Optimize front-end solutions with the most innovative hardware platforms.
• Learn
We unite influential practitioners to share their insights, challenges and strategies. Through interactive sessions, keynotes and discussions we support you through your business journey with the tactics, methods and strategies you need. Get Inspired and make an impact

• Discover
Explore the solutions facilitating business growth in fast-moving markets. Find your technology partner, enhance your tech stack.

• Interact
Harness the power of in-person events, form genuine connections and create valuable relationships. Make your next hire, find your mentor, get practical advice. Become part of the community.

Hear from founders of the most exciting chip start-ups in the world, alongside technology leadership from CSPs and semiconductor companies.
1. The Role of AI accelerators in the data centre hardware ecosystem
2. Building a Scalable AI Infrastructure Stack
3. Architecting AI Systems: From Today to Quantum Computing
4. The Landscape of the AI Hardware Industry
5. Performance Breakthrough for AI processing
6. Eliminating performance and scalability bottlenecks
7. AI Chip Design from the Data Center to the Edge
8. Advancements in Adaptable Computing for AI Acceleration
9. AI Hardware Requirements for Next Generation Manufacturing
10. Machine learning co-design between software and hardware

Agenda & Topics covered:


2022 Speakers

Inmar Givoni
Senior Autonomy Engineering Manager, Uber

Matthew Mattina
Head of Machine Learning Research Lab, ARM

Brent J. Brunell
Senior Executive – Additive Technology Leader, GE

Colin Parris
Vice President, Software & Analytics Research, GE

Claus Danielson
Principal Research Scientist, MERL (Mitsubishi Electric Research Laboratories)

Shuo Zhang
Senior Machine Learning Engineer, Bose Corporation

Hamed Nazari
Principal Scientist, AI & Computer Vision, Comcast

Jonathan Mailoa
Senior Research Engineer, Computational, Bosch

Ariya Rastrow
Principal Research Scientist - Amazon Echo (Alexa), Amazon

Ben Levine
Senior Director Product Management, Rambus

Ravi Narayanaswami
Edge TPU Tech Lead and Lead Architect, Google

Saber Moradi
Senior Research Engineer, Continental

Yevgeniy Vahlis
Head of Artificial Intelligence Technology, BMO Financial Group

Imir Arifi
Head of Artificial Intelligence & Machine Learning, Blue Cross & Blue Shield

Jothi Periasamy
Head of Artificial Intelligence, Harvard Innovation Lab

Wes Wahlin
Google Cloud TPU Product Manager, Google

Richard Dutton
Head of Machine Learning for Corporate Engineering, Google

Anamita Guha
Global Product lead, IBM Q

Vladimir Iglovikov
Senior Computer Vision Engineer, Lyft

Nick Gibson
Software Engineer, Glow team, Facebook

Jonathan Rubin
Senior Scientist, Philips Research

Andreas Moshovos
Professor of of Electrical and Computer Engineering, University of Toronto

Freddy Lecue
Chief AI Scientist, Thales

Ajay Nair
Product Management Lead, Edge TPU, Google

Daniel Barkus
Graph Technologies Sr. Engineer, ATC, Optum

Stephen Graham
Senior Distinguished Engineer, Optum

Kristoffer Oniel Duncan
Technical Program Manager at Facebook, Facebook

Sponsors & Partners

2022 Partners

• Rambus

• Scale Flux

• Huawei
• Alectio
• Dasher Technology