AI Hardware and Edge AI Summit 2023 will bring forth an opportunity for Machine Learning hardware and software infrastructure across the cloud edge continuum. Witness a whole day dedicated to AI case studies from the cloud to the edge. 

This upcoming event will take place from September 12-14, 2023.  You can witness a number of product launches, demos, and showcases expanding on the exhibition floor. Attend the most unique AI event all filled with talks about technology and advancements in the same niche. It consists of topics like machine learning and a few state-of-the-art topics

About AI Hardware and Edge AI Summit 2023

If you are a tech-savvy person and are inclined or feel excited about any news related to technology, this event will make most of your dreams come true. Step into the event and be surrounded by experts and visitors who have a mindset just as you do. 

AI Hardware and Edge AI Summit

The event has been organized for both the Machine Learning experts and for the technological vendors. The summit contains a mixture of state-of-the-art topics and practical tutorials. This event will surely make you informed about the latest technological developments around the whole world.

👉 40% of the audience is expected to be from the Machine Learning niche.

Besides all that, when we speak of Technological Vendors, the AI premier event with great infrastructure and ecosystem will blend into a tech bazaar that will focus on software, tooling, and application that focuses on Machine Learning technology.

If you have got the products AI Hardware and Edge AI Summit have got the perfect place for you to have it sold. 

Speakers list for AI Hardware and Edge AI Summit 2023

AI Hardware and Edge AI Summit 2023 will be the best place to give it all to your ears. It is one event that is about to explode its vast knowledge into the brains of the visitors attending it. 

With over 40 speakers belonging to several niches, the event will have stages and an arena filled with knowledge and the latest industry insights.  

Speakers in AI Hardware and Edge AI Summit 2023

The list begins with Andrew Ng, Founder and CEO of Landing AI, and Jim Keller, CEO of Tenstorrent; Alexis Black Bjorlin, VP of Infrastructure Hardware at Meta, and Amin Vahdat, Fellow & VP of ML, Systems & Cloud AI at Google. 

You can witness great speeches by a number of speakers who belong to a number of different industries.

Who should attend AI Hardware and Edge AI Summit 2023?

If you belong to a technical field and are focused on software development, or are an engineer or an architect this event is meant for you to visit it. 

 Along with people who belong to the above-mentioned fields, the attendee list, already even has a number of Heads of AIML, Data Science Research Scientists ML Ops, Frameworks & Library Experts, System Engineers & Architects ML Infrastructure, Engineers IP & Hardware Engineers, and more. 

You can have a blast at the AI Hardware and Edge AI Summit 2023 as it will be talking about data engineering, training, deployment, servicing and inference, and many other topics. 

You can grab the most informative insights about the hardware industry and system infrastructure. Get your brain filled with knowledge about Hardware engineering, system engineering as well as system software.

Schedule of AI Hardware and Edge AI Summit 2023

On Tuesday, 12 September 2023, registrations will begin at 9 AM, followed by Luminary Keynote, Data-Centric AI and Its Implications for ML Systems by Andrew Ng

Right after this segment another keynote speaker, Marc Tremblay will talk about Big Transformers: The Future of Enterprise AI.

Talks on AI Acceleration & RISC V by Jim Keller will lead to Networking Lunch. Right after the lunch break, a Presentation by Soojung Ryu will begin on Efficient Server AI Track: A Cost-Effective Server AI Platform: 4x Improvements at 50% of the Cost of Competitive GPU tiers. 

Another presentation about AI HW & Systems Design Track: Reconfigurable AI Computing by Cheng Wang will be held right after Soojung Ryu’s presentation. 

Presentation on Multimodal Learning Implications for AI Training and Inference by Jia Li and Krishna Rangasayee will lead to Accelerating the AIGC Era with Sparse Computing by Wayne Wang.  

A panel discussion on lowering the costs of fine-tuning foundation models will be done by Dan McCreary, leading to Memory Challenges for next-generation AI/ML computing by Steven Woo

Similarly, a number of other panel discussions will be done by a number of expert speakers. 

On the second day of the event, Wednesday, 13 Sep 2023, beginning with the morning networking event, you will be able to have opening remarks by keynote speakers Alexis Black Bjorlin and Petr Lapukhov from Meta. 

Next, a Keynote speech by Ankur Gupta and Mo Movahed about AI in Everything, AT the Edge, All the Time will be held. Another Keynote speech about Adaptable AI at the Edge: Scalability and Flexibility Simplified by David Glasco will lead to a networking lunch break.  

A presentation on ML Infrastructure: The “Hidden Figure” of Applied AI… Foundation Models As-A-Service, Data-Centric AI, and Open ML Ops by Suqiang Song will be leading to Stitching Together the Cloud and Edge Nodes – Trade-Offs For Edge Inference and Opportunities at the ´Near Edge´ by Prasad Saripalli

Making Software Efficient Across Diverse Platforms by Pushpak Pujari will be a presentation that will lead to another presentation of the day about An Integrated Hardware and Software Edge Platform for Energy-Efficient AI Acceleration by Sakyasingha Dasgupta

After a short networking break, panel discussions will begin with Nikhil Gulati and Jaya Kawale discussing product-ionizing AI – A Multidisciplinary & Full Stack Effort – Challenges and Solutions. 

The next panel discussion will be by Julius Lo on Scaling Recommendation Systems Infrastructure: Overcoming Memory & Latency Challenges. The third-panel discussion of the day will be by Gayathri Radhakrishnan and Sakyasingha Dasgupta on Balancing Trade-Offs For Edge AI computing – When to Deploy on Edge Nodes and When to Keep it Cloud. 

The third and final day will begin with a keynote speech by Amin Vahdat on ML Systems and Services. Next will be Amazon Keynote – ML Systems & Services, by Bratin Saha

Right after the networking lunch a presentation on Scaling Machine Learning Platforms in the Age of Generative AI by Animesh Singh will begin, which will lead to Case Study: Software Architecture for Operational Digital Twins in Production on the Automotive Factory Floor by Prashant Tiwari

Another presentation on Generative AI for AR & VR Devices by Vikas Chandra will lead to Efficient ML in the Metaverse, Behnam Bastani. Panel discussions on Fast and Accurate Predictions from 3D Molecular Structures and Model Compression Techniques for ML Model Deployment in Wearables will be done by Sutanay Choudhury and Anuj Dutt respectively. 

Presentation on Revolutionizing Healthcare with ML: Use Cases and Challenges in Implementation, and How AI-Optimized HW Can Help’ will be done by Eugenio Zuccarrelli and Edge ML for Robotic & Autonomous Systems will be done by Becky Soltanian

Passes for AI Hardware and Edge AI Summit 2023

You can buy the passes from three different categories shown in the image below

AI Hardware and Edge AI Summit Passes

Venue for AI Hardware & Edge AI Summit 2023

Santa Clara Marriott, California has chosen the venue for this year's AI Hardware & Edge AI Summit. 

You can enjoy a number of amenities on the premises of the hotel. From having refreshing drinks at the Bar to taste the best cuisine at the restaurant, Santa Clara Marriot, California has got it all. 

The Marriott has got an outdoor pool, along with a fitness center and hot tub. The whole property is smoke-free so you don't have to worry about any disturbance in your peace while visiting the hotel. 

With over 6 years of experience in connecting systems to software, the AI Hardware and Edge AI Summit has got a good hold in the event market. It has got over 70,000 experts in their network and over a hundred industry-leading speakers. Become a part of the upcoming summit that holds great AI and technological knowledge.

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