2023 Confirmed Speakers
Andrew Ng
Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is Founder of DeepLearning.AI, Founder & CEO of Landing AI, General Partner at AI Fund, Chairman & Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department.
In 2011, he led the development of Stanford University's main MOOC (Massive Open Online Courses) platform and taught an online Machine Learning course that was offered to over 100,000 students leading to the founding of Coursera where he is currently Chairman and Co-founder.
Previously, he was Chief Scientist at Baidu, where he led the company’s ~1300 person AI Group and was responsible for driving the company’s global AI strategy and infrastructure. He was also the founding lead of the Google Brain team.
As a pioneer in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, and has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2013, he was named to the Time 100 list of the most influential persons in the world. He holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley.
Jim Keller
Jim Keller is the CEO of Tenstorrent and a veteran hardware engineer. Prior to joining Tenstorrent, he served two years as Senior Vice President of Intel's Silicon Engineering Group. He has held roles as Tesla's Vice President of Autopilot and Low Voltage Hardware, Corporate Vice President and Chief Cores Architect at AMD, and Vice President of Engineering and Chief Architect at P.A. Semi, which was acquired by Apple Inc. Jim has led multiple successful silicon designs over the decades, from the DEC Alpha processors, to AMD K7/K8/K12, HyperTransport and the AMD Zen family, the Apple A4/A5 processors, and Tesla's self-driving car chip.
Alexis Black Bjorlin
Dr. Alexis Black Bjorlin is VP, Infrastructure Hardware Engineering at Meta. She also serves on the board of directors at Digital Realty and Celestial AI. Prior to Meta, Dr. Bjorlin was Senior Vice President and General Manager of Broadcom’s Optical Systems Division and previously Corporate Vice President of the Data Center Group and General Manager of the Connectivity Group at Intel. Prior to Intel, she spent eight years as President of Source Photonics, where she also served on the board of directors. She earned a B.S. in Materials Science and Engineering from Massachusetts Institute of Technology and a Ph.D. in Materials Science from the University of California at Santa Barbara.
Amin Vahdat
Amin Vahdat is a Fellow and Vice President of Engineering at Google, where his team is responsible for delivering industry-best Machine Learning software and hardware that serves all of Google and the world, now and in the future, and Artificial Intelligence technologies that solve customers’ most pressing business challenges. He previously led the Systems and Services Infrastructure organization from 2021 until the present, and the Systems Infrastructure organization from 2019 - 2021. Until 2019, he was the area Technical Lead for the Networking organization at Google, responsible for Google's technical infrastructure roadmap in collaboration with the Compute, Storage, and Hardware organizations.
Before joining Google, Amin was the Science Applications International Corporation (SAIC) Professor of Computer Science and Engineering at UC San Diego (UCSD) and the Director of UCSD’s Center for Networked Systems. He received his doctorate from the University of California Berkeley in computer science, and is a member of the National Academy of Engineering (NAE) and an Association for Computing Machinery (ACM) Fellow.
Amin has been recognized with a number of awards, including the National Science Foundation (NSF) CAREER award, the UC Berkeley Distinguished EECS Alumni Award, the Alfred P. Sloan Fellowship, the Association for Computing Machinery's SIGCOMM Networking Systems Award, and the Duke University David and Janet Vaughn Teaching Award. Most recently, Amin was awarded the SIGCOMM lifetime achievement award for his contributions to data center and wide area networks.
Bratin Saha
Dr. Bratin Saha is the Vice President of Machine Learning and AI services at AWS where he leads all the ML and AI services and helped build one of the fastest growing businesses in AWS history. He is an alumnus of Harvard Business School (General Management Program), Yale University (PhD Computer Science), and Indian Institute of Technology (BS Computer Science). He has more than 70 patents granted (with another 50+ pending) and more than 30 papers in conferences/journals. Prior to Amazon he worked at Nvidia and Intel leading different product groups spanning imaging, analytics, media processing, high performance computing, machine learning, and software infrastructure.
Marc Tremblay
Marc Tremblay is a distinguished engineer at Microsoft. Prior to joining Microsoft in April 2009, he was senior vice president and chief technology officer of the microelectronics business unit at Sun Microsystems. He was instrumental in the design of various microprocessors at Sun, including the UltraSPARC, UltraSPARC II, MAJC, UltraSPARC T1, and the cancelled Rock processor. In the process, he was awarded more patents than any other Sun employee.
Jia Li
Jia is Co-founder, Chief AI Officer and President of a Stealth Generative AI Startup. She is elected as IEEE Fellow for Leadership in Large Scale AI. She is co-teaching the inaugural course of Generative AI and Medicine at Stanford University, where she has served multiple roles including Advisory Board Committee to Nourish, Chief AI Fellow, RWE for Sleep Health and Adjunct Professor at the School of Medicine in the past. She was the Founding Head of R&D at Google Cloud AI. At Google, she oversaw the development of the full stack of AI products on Google Cloud to power solutions for diverse industries. With the passion to make more impact to our everyday life, she later became an entrepreneur, building and advising companies with award-winning platforms to solve today's greatest challenges in life. She has served as Mentor and Professor-in-Residence at StartX, advising founders/companies from Stanford/Alumni. She is the Co-founder and Chairperson of HealthUnity Corporation, a 501(c)3 nonprofit organization. She served briefly at Accenture as a part-time Chief AI Follow for the Generative AI strategy. She also serves as an advisor to the United Nations Children's Fund (UNICEF). She is a board member of the Children's Discovery Museum of San Jose. She was selected as a World Economic Forum Young Global Leader, a recognition bestowed on 100 of the world’s most promising business leaders, artists, public servants, technologists, and social entrepreneurs in 2018. Before joining Google, She was the Head of Research at Snap, leading the AI/AR innovation effort. She received her Ph.D. degree from the Computer Science Department at Stanford University.
Lip-Bu Tan
Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco.
Animesh Singh
Sravanthi Rajanala
Sravanthi Rajanala is the Director of Data Science and Machine Learning in Walmart's Search Technologies. She began her career in telecom and worked for Microsoft and Nokia before joining Bing Search in 2011 to work in machine learning and search. Sravanthi has led initiatives in query and document understanding, ranking, and question answering. In 2021, she joined Walmart and now leads the Search Core Algorithms, Machine Translation, and Metrics Science. Sravanthi holds a Master's degree in Computational Science from the Indian Institute of Science and a Bachelor's degree in Computer Science from Osmania University.
Bryan McCann
Bryan is a Co-Founder and the CTO of You.com. Prior to You.com, Bryan was a Lead Research Scientist at Salesforce Research working on Deep Learning and its applications to Natural Language Processing (NLP).
He authored the first paper and holds the patent on contextualized word vectors, which eventually led to the transfer learning revolution in NLP with BERT and other transformer-based architectures for contextualized word vectors. He was the recipient of the 1st ever eVe award at SXSW 2021 for his collaboration with award-winning (and Netflix show writing) author Daniel Kehlmann. He is a regular speaker on topics of literature and AI, poetry and AI, and other crossovers between AI and the arts.
Nikhil Gulati
Suqiang Song
As engineering director, Suqiang leads multiple teams of ML infrastructure engineers, driving machine learning platforms and infrastructure solutions for all product and engineering teams in Airbnb.
As a senior AI leader, he works closely with senior partners in product and engineering to shape Airbnb’s vision in AI and ML, streamline innovations, and ensure Airbnb has a complete set of AI infrastructure that meets long-term needs.
Previously, Suqiang served as Vice President, Data Platforms and Engineering Services at Mastercard, as one of the Data / AI commit board members to identify strategies and directions for Data Enablement, Data and ML platforms across multiple product lines and multiple deployment infrastructures. He has led worldwide engineering teams of data engineers, Machine Learning engineers, and data analysts to build unified data and ML platforms both on-premise and on-cloud for Mastercard
Selcuk Kopru
Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.
Soojung Ryu
As a well-known expert in AI processors, Soojung Ryu is in charge of SAPEON in order to accelerate the company’s growth in the global AI market. She brings more than 25 years of extensive experience in leading various projects related to NPU and GPU.
Before she joined SK Telecom as the head of the AI accelerator office, Ryu was a University-Industry Collaboration Professor at Seoul National University, where she conducted R&D in the NPU and PIM. When she served as the Vice President of Samsung Group's R&D hub, she undertook diverse projects related to GPU. Ryu received her Ph.D. degree in Electrical & Computer Engineering from Georgia Institute of Technology.
Karl Freund
Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.
Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.
Accomplishments during his career include:
- Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
- Created an industry-wide thought leadership position for Calxeda in the ARM Server market
- Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
- Built the IBM Power Server brand from 14% market share to over 50% share
- Integrated the Tivoli brand into the IBM company’s branding and marketing organization
- Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition
Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).
Prasad Saripalli
Prasad Saripalli serves as a Distinguished Engineer at Capital One, a technology driven bank on the Fortune 100 list, redefining Fintech and Banking using data, technology, AI and ML in unprecedented ways. Most recently, Prasad served as the Vice President of AIML and Distinguished Engineer at MindBody Inc - a portfolio company of Vista which manages the world's fourth-largest enterprise software company after Microsoft, Oracle, and SAP. Earlier, he served as VP Data Science at Edifecs, an industry premier healthcare information technology partnership platform and software provider, building Smart Decisions ML & AI Platform with Ml Apps Front. Prior to this, Prasad served as CTO and VP Engineering at Secrata.com, provider of Military grade Security and Privacy solutions developed and deployed over the past 15 years at Topia Technology for the Federal Government and the Enterprise, and as CTO & EVP at ClipCard, a SaaS based Hierarchical Analytics and Visualization platform.
At IBM, Prasad served as the Chief Architect for IBM's SmartCloud Enterprise (http://www.ibm.com/cloud-computing/us/en/). At Runaware, he served as the Vice President of Product Development. As a Principal Group Manager at Microsoft, Prasad co-led the development of virtualization stack on Windows 7 responsible for shipping Virtual PC7 and Windows XP Mode on Windows 7.
Prasad teaches Machine Learning, AI, NLP, Distributed Systems, Cloud Engineering and Robotics at Northeastern University and the University of Washington Continuum College.
Cheng Wang
Originally from Shanghai, PRC. Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley. MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.
David Glasco
Nitza Basoco
Nitza Basoco is a technology leader with over 20 years of semiconductor experience. At proteanTecs, she leads the Business Development team, responsible for driving partnership strategies and building value-add ecosystem growth.
Previously, Nitza was the VP of Operations at Synaptics with responsibility for growing and scaling their worldwide test development, product engineering and manufacturing departments. Prior to Synaptics, Nitza spent a decade holding various leadership positions within the operations organization at MaxLinear, ranging from test development engineering to supply chain. Earlier in her career, Nitza served as a Principal Test Development Engineer for Broadcom Corporation and as a Broadband Applications Engineer at Teradyne.
Nitza holds MEng and BSEE degrees from Massachusetts Institute of Technology.
Gopal Hegde
Krishna Rangasayee
Krishna is founder and CEO of SiMa.ai™, a machine learning company enabling effortless ML for the Embedded Edge.
Previously, he was the COO of Groq, a machine learning startup. He was with Xilinx for 18 years, where he was Senior Vice President and GM of Xilinx’s overall business prior to his most recent role as Executive Vice President, Global Sales. Prior to Xilinx, he held various engineering and business roles at Altera Corporation and Cypress Semiconductor. He holds 25+ international patents. He has also served on the board of directors of public and private companies.
Sally Ward-Foxton
Sally Ward-Foxton has been writing about the electronics industry for more than a decade. As a freelance journalist she has published articles in EE Times, Electronic Design Europe, Microwaves & RF, ECN, Electronic Specifier: Design, IoT Embedded Systems, Electropages, Components in Electronics and many more. She also supplies technical writing and ghostwriting services to several of Europe's leading PR agencies. She holds a Masters' degree in Electrical and Electronic Engineering from the University of Cambridge, UK.
Ankur Gupta
Ankur Gupta is vice president and general manager of Tessent Silicon Lifecycle Solutions business unit for Siemens EDA. He and his global team are responsible for developing and marketing best-in-class DFT and Lifecycle solutions for the Semiconductor industry.
Ankur brings 20+ years of experience in Digital design, implementation and signoff. He oversaw the first five deployments of Innovus to the market, while at Cadence. Later, at Ansys, he oversaw the launch and deployment of RedHawk-SC, a market leader in power-grid signoff.
Mo Movahed
MO Movahed is the GM for CSD division at Siemens, responsible for High-Level Synthesis and Verification, Low-Power Solutions and FPGA Synthesis.
MO has more than 35 years of products and business experience with broad background and expertise in design verification & implementation tools and methodology. Prior to joining Siemens EDA, he held various VP positions at Synopsys where he led Digital Verification products & business including VCS, VC Static, SpyGlass, VC Formal & Emulation Power in Verification BU, and StarRC, PrimePower Gate and RTL, and PrimeECO products in Digital Implementation BU.
Prior to Synopsys, Mo was SVP at Atrenta and led innovation of industry leading SpyGlass products & solutions and was heavily involved with the growth of Atrenta from both customer & business perspective resulting in successful acquisition by Synopsys in 2015. MO has held leadership positions at Lattice Semi, Cadence, and Xerox Research Lab and holds 15+ US Patents.
Sakyasingha Dasgupta
Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.
After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.
Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here
Martin Ruskowski
Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.
All equipment and machinery in the factories of tomorrow will be networked: Machines will have the ability to communicate and exchange data among themselves. Robots will continue to play an ever greater role in the world of Industrie 4.0. In the future, they may even replace traditional machine tools is some application situations, for example, in the milling of special components. "A priority of my work at TU Kaiserslautern and DFKI will be to improve the fitness of robots for demanding mechanical processing tasks. The new technologies that result from our research will provide more flexibility to companies and, ultimately, serve as a jobs motor in Germany," said Ruskowski in describing his new responsibilities.
Ruskowski is an expert in the fields of robotics and Industry 4.0. At DFKI and RPTU, his aim will be to develop solutions for the digitalization of production plants while also working on new control systems and robot mechanics to increase the efficiency of future generations of industrial robots. He will also study the question of how to make self-optimizing machines. A major focus is on Human-Machine Interaction in automated production plants. "In the context of the digitalization of production, we need new engineering techniques that will allow humans to more closely integrate the production processes," he added. "We can achieve this in cooperation with Technologie-Initiative SmartFactory KL e.V." This unique research lab located at DFKI provides ideal conditions for the practical evaluation of ambitious research projects.In addition, Ruskowski will hold a series of lectures at the department of Mechanical and Process Engineering on the subjects of machine tools and industrial robotics.
He studied electrical engineering at Leibniz University Hannover and also received his doctorate in mechanical engineering there. His doctoral thesis was a study of the dynamics of machine tools and the use active magnet guides for damping vibrations. Prior to his relocation to Kaiserslautern, Ruskowski held several management positions at industrial firms, most recently since 2015 as Vice President for Global Research and Development at KUKA Industries.
Tatjana Legler
Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.
Research Fields
Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.
Vikas Chandra
Vikas Chandra is Director of AI Research at Facebook where he leads the On-device AI research focusing on AR and VR products. Prior to Facebook, he was Director of Applied Machine Learning at Arm Inc. He received his Ph.D. and M.S. degrees in Electrical and Computer Engineering from Carnegie Mellon University. He held the positions of Visiting Scholar (2011 – 2014) and Visiting Faculty (2016 - 2017) in the EE department at Stanford University. He has authored 70+ research publications and is an inventor on 40+ US and international patents. Dr. Chandra received the ACM-SIGDA Technical Leadership Award in 2009 and was invited to the 2017 Frontiers of Engineering Symposium organized by the National Academy of Engineering. He is a senior member of IEEE.
Wayne Wang
Wayne Wang is the Founder & CEO of Moffett AI, and is an expert in digital-analog hybrid circuits in Silicon Valley with 15 years of experience. His main experience is as a CPU high-speed link architect.
He has several years of experience in semiconductor entrepreneurship in Silicon Valley. He used to be the core architect of Intel and Qualcomm, and participated in the development of five generations of Intel CPU processors, with a cumulative mass production of over 5 billion pieces.
Dan McCreary
Dan is a distinguished engineer in AI working on innovative database architectures including document and graph databases. He has a strong background in semantics, ontologies, NLP and search. He is a hands-on architect and like to build his own pilot applications using new technologies. Dan started the NoSQL Now! Conference (now called the Database Now! Conferences). He also co-authored the book Making Sense of NoSQL, one of the highest rated books on Amazon on the topic of NoSQL. Dan worked at Bell Labs as a VLSI circuit designer where he worked with Brian Kernighan (of K&R C). Dan also worked with Steve Jobs at NeXT Computer.
Matthew Burns
Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.
Girish Nadkarni
Girish N. Nadkarni, MD, MPH, is the Irene and Dr. Arthur M. Fishberg Professor of Medicine at the Icahn School of Medicine at Mount Sinai. As an expert physician-scientist, Dr. Nadkarni bridges the gap between comprehensive clinical care and innovative research. He is the System Chief of the Division of Data Driven and Digital Medicine (D3M), the Co-Director of the Mount Sinai Clinical Intelligence Center (MSCIC) and the Director of Charles Bronfman Institute for Personalized Medicine.
Before completing his medical degree at one of the top-ranked medical colleges in India, Dr. Nadkarni received training in mathematics. He then received a master’s degree in public health at the Johns Hopkins Bloomberg School of Public Health, and then was a research associate at the Johns Hopkins Medical Institute. Dr. Nadkarni completed his residency in internal medicine and his clinical fellowship in nephrology at the Icahn School of Medicine at Mount Sinai. He then completed a research fellowship in personalized medicine and informatics.
Dr. Nadkarni has authored more than 240 peer-reviewed scientific publications, including articles in the New England Journal of Medicine, the Journal of the American Medical Association, the Annals of Internal Medicine and Nature Medicine. Dr. Nadkarni is the principal or co-investigator for several grants funded by the National Institutes of Health focusing on informatics, data science, and precision medicine. He is also one of the multiple principal investigators of the NIH RECOVER consortium focusing on the long-term sequelae of COVID-19. He has several patents and is also the scientific co-founder of investor-backed companies—one of which, Renalytix, is listed on NASDAQ. In recognition of his work as an active clinician and investigator, he has received several awards and honors, including the Dr. Harold and Golden Lamport Research Award, the Deal of the Year award from Mount Sinai Innovation Partners, the Carl Nacht Memorial Lecture, and the Rising Star Award from ANIO.
Becky Soltanian
Dr. Soltanian’s career in the field of AI has been extensive. With a global reach, her endeavors in AI, engineering, and academia span over 20 years. Her background includes a considerable amount of hands-on experience in a variety of roles in automation, AI, robotics, and computer vision. Most recently, Dr. Soltanian worked as a principal artificial intelligence and machine learning engineer, developing algorithms that improved perception and localization. She has also held leadership and management positions where she successfully directed teams in developing and applying advanced technologies in the use of lidar and other data types.
Dr. Soltanian holds a PhD in Electrical, Electronics and Communications Engineering; a Master of Technology in Digital Signal Processing; and a Bachelor of Science in Electrical Engineering. She’s worked for a variety of different companies such as Byton, Daqri and Velodyne Lidar, and has six (6) patents in the field of Autonomous Driving and automation.
Eugenio Zuccarrelli
Eugenio is a Business-Focused Data Science Leader, leading the innovation efforts for several Fortune 500 companies across multiple industries, including Healthcare (CVS Health), Automotive (BMW) and Finance (Morningstar).
He is a Forbes 30 Under 30, a Fulbright Scholarship recipient and studied across MIT, Harvard and Imperial College London. Currently, he leads the innovation efforts for complex chronic care at CVS Health, the #1 Healthcare company in the world and a Fortune 5 firm.
In addition, he has been working in the Task Force using analytics to fight COVID-19 and develop policy recommendations for The White House and overall finding solutions to fight the COVID-19 pandemic. You can find Eugenio's work across Forbes, The Washington Post, Bloomberg and Financial Times as well as multiple journals and in the App Store.
When he is not working, Eugenio enjoys contemporary art as well as playing Tennis with friends and traveling.
Steven Woo
I was drawn to Rambus to focus on cutting edge computing technologies. Throughout my 15+ year career, I’ve helped invent, create and develop means of driving and extending performance in both hardware and software solutions. At Rambus, we are solving challenges that are completely new to the industry and occur as a response to deployments that are highly sophisticated and advanced.
As an inventor, I find myself approaching a challenge like a room filled with 100,000 pieces of a puzzle where it is my job to figure out how they all go together – without knowing what it is supposed to look like in the end. For me, the job of finishing the puzzle is as enjoyable as the actual process of coming up with a new, innovative solution.
For example, RDRAM®, our first mainstream memory architecture, implemented in hundreds of millions of consumer, computing and networking products from leading electronics companies including Cisco, Dell, Hitachi, HP, Intel, etc. We did a lot of novel things that required inventiveness – we pushed the envelope and created state of the art performance without making actual changes to the infrastructure.
I’m excited about the new opportunities as computing is becoming more and more pervasive in our everyday lives. With a world full of data, my job and my fellow inventors’ job will be to stay curious, maintain an inquisitive approach and create solutions that are technologically superior and that seamlessly intertwine with our daily lives.
After an inspiring work day at Rambus, I enjoy spending time with my family, being outdoors, swimming, and reading.
Education
- Ph.D., Electrical Engineering, Stanford University
- M.S. Electrical Engineering, Stanford University
- Master of Engineering, Harvey Mudd College
- B.S. Engineering, Harvey Mudd College
Pushpak Pujari
Pushpak leads Product Management at Verkada where he runs their Cloud Connected Security Camera product lines. He is responsible for using AI and Computer Vision on the camera to improve video and analytics capabilities and reduce incidence response time by surfacing only meaningful events in real-time, with minimal impact on bandwidth.
Before Verkada, Pushpak led Product Management at Amazon where he built the end-to-end privacy-preserving ML platform at Amazon Alexa, and launched a no-code platform to design and deploy IoT automation workflows on edge devices at Amazon Web Services (AWS). Previous to Amazon, he spent 4 years at Sony in Japan building Sony’s flagship mirrorless cameras.
Pushpak has extensive experience of starting, running and growing multi-million dollar products used by millions of users at the fastest growing companies in the US and the world. He holds an MBA from Wharton and Bachelors in Electrical Engineering from IIT Delhi, India
Arun Iyengar
Arun Iyengar is the CEO of Untether AI. He brings to Untether AI extensive operational and general management experience across a variety of markets from automotive, cloud, to wired and wireless infrastructure. Prior to Untether AI, Iyengar held leadership roles at Xilinx, AMD, and Altera where he set and executed strategies to grow revenues in each of the targeted markets.
Jaya Kawale
Jaya Kawale is the head of Machine Learning at Tubi, a Fox Corporation content platform. Jaya´s team works on solving various ML problems for Tubi´s product, ranging from recommendations, content understanding and acquisition, ads ML, etc. Her team also work on the application of cutting edge machine learning technologies such as contextual bandits, deep learning, computer vision and NLP to improve user experience at Tubi.
Drew Matter
Drew Matter serves as Vice President at Mikros Technologies, a premier designer and manufacturer of DLC single-phase and 2-phase cold plates and loops. Mikros works closely with AI/ML system designers to provide highly-optimized thermal management solutions with industry-leading heat transfer performance to improve the power, performance, packaging, reliability and sustainability of their systems.
Julius Lo
Julius is a Director of NEUCHIPS, an AI ASIC startup for recommendation inferencing. Julius leads NEUCHIPS software team, covering server integration to on-board firmware. Before NEUCHIPS, Julius worked for Global Unchip Corp., hTC and Mediatek, devoting himself to RTL circuit design, Linux device drivers and performance optimization with power balancing in 20+ chips. He is an author of 6+ international patents in the areas of schedulgin and data compression.
Behnam Bastani
Behnam Bastani is Senior Director of Engineering for AI & ML at Roblox, where he is building a collaborative immersive computing platform, reaching variable computing devices over heterogeneous network conditions. He is currently overseeing adaptive engine platform and on device AI/ML at Roblox.
Behnam has 20+ years experience in building, scaling up and leveraging software, hardware and operating system organizations across multiple sites to innovate and launch new experiences on low powered consumer products. His product focus includes Graphics & AI based Rendering, Mobile Display System, Cloud Computing and on-Device AI.
Prashant Tiwari
Gayathri Radhakrishnan
Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.
Petr Lapukhov
Petr Lapukhov is a Network Engineer at Meta. He has 20+ years in the networking industry, designing and operating large scale networks. He has a depth of experience in developing and operating software for network control and monitoring. His past experience includes CCIE/CCDE training and UNIX system administration.
Sutanay Choudhury
Sutanay Choudhury is Chief Scientist, Data Sciences in Advanced Computing, Mathematics and Data division at Pacific Northwest National Laboratory, and the co-director of the Computational and Theoretical Chemistry Institute. His current research focuses on scalable graph representation learning and neural-symbolic reasoning, with applications to chemistry, medical informatics and power grid. Sutanay has more than a decade's experience in developing artificial intelligence and data analytics systems that extract, learn and search for patterns from the "complex web of things" - webs that emerge from atomistic interaction in molecular networks, to interaction between diseases, drugs and genes, or the web of human knowledge captured in knowledge bases such as Wikipedia, PubChem and SNOMED. His research has been supported by US Department of Energy, US Department of Homeland Security, DARPA and US Department of Veterans Affairs.
Anuj Dutt
David Kanter
David founded and leads MLCommons, to make machine learning better for everyone through benchmarks, such as MLPerf, and building datasets and tools for data-centric AI.
The mission of MLCommons™ is to make machine learning better for everyone. Together with its 50+ founding Members and Affiliates, including startups, leading companies, academics, and non-profits from around the globe, MLCommons will help grow machine learning from a research field into a mature industry through benchmarks, public datasets and best practices. MLCommons firmly believes in the power of open-source and open data. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.
Uri Rosenberg
Uri Rosenberg is the Specialist Technical Manager of AI & ML services within enterprise support at Amazon Web Services (AWS) EMEA. Uri works to empower enterprise customers on all things ML: from underwater computer vision models that monitor fish to training models on satellite images in space; from optimizing costs to strategic discussions on deep learning and ethics. Uri brings his extensive experience to drive success of customers at all stages of ML adoption.
Before AWS, Uri led the ML projects at AT&T innovation center in Israel, working on deep learning models with extreme security and privacy constraints.
Uri is also an AWS certified Lead Machine learning subject matter expert and holds an MsC in Computer Science from Tel-Aviv Academic College, where his research focused on large scale deep learning models.
Prasanna Balaprakash
Prasanna Balaprakash is a computer scientist at the Mathematics and Computer Science Division with a joint appointment in the Leadership Computing Facility at Argonne National Laboratory. His research interests span the areas of artificial intelligence, machine learning, optimization, and high-performance computing. Currently, his research focuses on the development of scalable, data-efficient machine learning methods for scientific applications. He is a recipient of U.S. Department of Energy 2018 Early Career Award. He is the machine-learning team lead and data-understanding team co-lead in RAPIDS, the SciDAC Computer Science institute. Prior to Argonne, he worked as a Chief Technology Officer at Mentis Sprl, a machine learning startup in Brussels, Belgium. He received his PhD from CoDE-IRIDIA (AI Lab), Université Libre de Bruxelles, Brussels, Belgium, where he was a recipient of Marie Curie and F.R.S-FNRS Aspirant fellowships.
About The Event
The combined AI Hardware & Edge AI Summit comprehensively covers the design and deployment of ML hardware and software infrastructure across the cloud-edge continuum.
For Enterprise ML Experts: Attend a unique AI systems event that will give you both hardware and software tools and techniques for training, deploying, and serving machine learning – the program contains a mixture of state-of-the-art topics and practical tutorials, so you know what is out there, and what you can use. 40% of our audience are enterprise ML practitioners just like you!
For Technology Vendors: Attend the premier event for the AI infrastructure ecosystem, which blends systems, software, tooling and applications for a unique proposition that focuses on making ML faster, more efficient and more affordable. If your product fits into this category, your peers and customers are here!
New in 2023:
- A whole day dedicated to case studies from cloud to edge including: generative AI, simulation & digital twins, computer vision, NLP, automotive AI, TinyML and extreme edge.
- Coverage of MLOps, software tools and ML software infrastructure + discussion of novel training methods including federated & distributed learning, active learning and multimodal learning.
- Product launches, demos and showcases on the expanded exhibition floor.
Headline Partner
Synopsys
Website: www.synopsys.com
Smart, Secure Everything—From Silicon to Software
Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure.
Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at the forefront of Smart, Secure Everything with the world’s most advanced tools for silicon chip design, verification, IP integration, and application security testing. Our technology helps customers innovate from Silicon to Software, so they can deliver Smart, Secure Everything.
Platinum Partners
Cadence
Website: www.cadence.com
Cadence’s goal is to empower engineers at semiconductor and systems companies to create innovative, intelligent, and highly differentiated electronic products that transform the way people live, work, and play. The company’s Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to systems—in AI, IoT, mobile, 5G, consumer, cloud, data center, automotive, aerospace, and other market segments. Cadence offers specialized IP with industry-leading performance, power efficiency, and interconnects, as well as AI-specific verification and implementation solutions. The company also employs machine learning within its tools and solutions to enable the best power, performance, and area (PPA), quality of results (QoR), and time-to-market (TTM) benefits.
Habana
Website: www.habana.ai
Habana is an AI solutions semiconductor company. Eitan is Habana’s Chief Business Officer and will share with us Habana’s vision of the AI/Deep-learning processing needs and Habana’s solutions.
Siemens
Website: https://www.siemens.com/global/en.html
Siemens is rapidly expanding our number one position in digital industrial software to enable our customers to swiftly advance in their digital transformation. With the un-matched breadth and depth of the Siemens Xcelerator portfolio, Siemens is enabling customers to leverage AI to break down the barriers between their electrical, mechanical and software design silos, between their design, manufacturing, and ERP silos within all markets. It enables customers to bridge the virtual and physical design and manufacturing worlds, empowering customers to rapidly evolve from systems to market-leading ecosystems companies so they can leverage AI to engineer a smarter future faster – and deliver smart products, factories, infrastructure, and cities – for us all.
Gold Partners
Amphenol
Website: https://amphenol.com/
Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world
leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial
electronics markets. Amphenol Corporation is one of the world’s largest designers and
manufacturers of electrical, electronic and fiber optic connectors and interconnect systems,
antennas, sensors and sensor-based products and coaxial and high-speed specialty cable.
ACS has an expansive global presence in research and development, manufacturing, and
sales. We design and manufacture a wide range of innovative connectors as well as cable
assemblies for diverse applications including server, storage, data center, mobile, RF,
networking, industrial, business equipment and automotive.
EdgeCortix
Website: https://www.edgecortix.com/
EdgeCortix is a fabless semiconductor design company focused on enabling energy-efficient edge intelligence. Founded in 2019 with the radical idea of taking a software first approach, while designing an artificial intelligence specific runtime reconfigurable processor from the ground up using a technique called “hardware & software co-exploration”. Targeting advanced computer vision applications first, using proprietary hardware and software IP on existing processors like Field Programmable Gate arrays (FPGAs) and custom designed Application Specific Integrated Circuits (ASICs), the company is geared towards positively disrupting the rapidly growing AI hardware space across defense, aerospace, smart cities, industry 4.0, autonomous vehicles and robotics.
Flex Logix
Website: www.flex-logix.com
Flex Logix’ NMAX inferencing accelerators provide very high throughput and hardware utilization even at batch size = 1, with low system cost and system power.
NMAX MAC utilization is over 50% even at batch size = 1. For most inferencing engines utilization drops dramatically from batch 10 to batch 1 because they stall loading weights. High MAC utilization means less silicon area needed for the same throughput.
NMAX uses proprietary Flex Logix interconnect technology to utilize local, distributed SRAM very efficiently generating very high local bandwidth and dropping DRAM bandwidth requires to that of 1 or 2 LPDDR4 DRAMs, even for YOLOv3 at 30 frames/second. This lowers power and lowers cost.
NMAX will be available in TSMC16FFC/12FFC in mid 2019.
GrAI Matter Labs
Website: https://www.graimatterlabs.ai/
At GrAI Matter Labs we are in the business of Life-Ready AI. Artificial Intelligence as close to natural as it gets. AI that feels alive. We deliver brain-inspired chips that behave like humans do. AI that makes machines assisting humans act, and react, in real time. AI that optimizes energy and maximizes efficiency, saving time, money, and vital natural resources. Welcome to an AI-Ready future, where smart speakers, autonomous vehicles, robots, drones, augmented reality devices, surveillance cameras and more, make us more productive. Welcome to an optimized future!
Moffett AI
Website: https://moffett.ai/
Moffett AI: The Sparse Computing Company
Moffett AI is the leader in sparse AI computing, dedicated to providing AI computing platforms and services, with a mission to keep evolving the frontiers of AI using sparse computing.
The inventor of the dual sparsity algorithm, Moffett AI has the world's leading sparse computing techniques with more than 30 patents worldwide. The company creates a new generation of AI computing platform with hardware and software co-design to achieve order-of-magnitude acceleration of computing performance with low cost.
Moffett AI brings low latency, low power consumption and cost-effective computing service to the industry without compromising on accuracy. Moffett AI helps customers significantly reduce their TCO (Total Cost of Ownership) of AI computing while meeting the growing demand for AI computing, and enabling greener and more sustainable AI computing to benefit society.
proteanTecs
Website: https://www.proteantecs.com/
proteanTecs is the leading provider of deep data analytics for advanced electronics monitoring. Trusted by global leaders in the datacenter, automotive, communications and mobile markets, the company provides system health and performance monitoring, from production to the field. By applying machine learning to novel data created by on-chip monitors, the company's deep data analytics solutions deliver unparalleled visibility and actionable insights—leading to new levels of quality and reliability. Founded in 2017 and backed by world-leading investors, the company is headquartered in Israel and has offices in the United States, India and Taiwan. For more information, visit www.proteanTecs.com.
Rambus
Website: https://www.rambus.com/
Rambus is a provider of industry-leading chips and silicon IP making data faster and safer. With over 30 years of advanced semiconductor experience, we are a pioneer in high-performance memory subsystems that solve the bottleneck between memory and processing for data-intensive systems. Whether in the cloud, at the edge or in your hand, real-time and immersive applications depend on data throughput and integrity. Rambus products and innovations deliver the increased bandwidth, capacity and security required to meet the world’s data needs and drive ever-greater end-user experiences. For more information, visit rambus.com.
Samtec
Website: http://www.samtec.com
Founded in 1976, Samtec is a privately held, $822 MM global manufacturer of a broad line of electronic interconnect solutions, including High-Speed Board-to-Board, High-Speed Cables, Mid-Board and Panel Optics, Precision RF, Flexible Stacking, and Micro/Rugged components and cables. With 40+ location severing approximately 125 countries, Samtec’s global presence enables its unmatched customer service.
Event Partners
Andes Technology
Website: http://www.andestech.com/en/homepage/
Please visit our website for more information.Malico Inc.
Website: https://www.malico.com/
Malico Inc. was established in 1983 as an advanced thermal solution provider. Over the years, Malico has grown and expanded significantly in related fields and is now a major metal forming company in Taiwan. To fulfill customer demand varieties, the in-house factory is equipped with a high precision CNC center, die casting center, metal injection molding center, painting center (powder and liquid coating), and core thermal solution cold forge center. In addition, quality has always been Malico’s core value (ISO 9001, ISO 14001, IATF 16949 certified, and RoHS compliant). We commit to providing premium quality services, cost-effective product variabilities, and long-term customer partnerships.
Malico is fully engaged with customers from the design initiation phase all the way to rapid prototyping and production ramping. We offer customized solutions, prompt customer communications, short lead time, and quality assurance to ensure customer product on-time delivery. There are several local North American sales offices available to ensure timely support and communication to local customers.
Further details can be provided upon request.
Mikros
Website: https://www.mikrostechnologies.com/
High Performance Liquid Cooling over 1kW/cm2
We design and manufacture optimized thermal management solutions for high heat flux AI and HPC applications. Our patented Normal Flow™ microchannel and mini-channel liquid cold plates provide industry-leading low thermal resistances pressure drop, giving designers greater thermal budgets to improve the performance, packaging, and reliability of their systems.
Born 30 years ago from a project to cool the Space Station with NASA Johnson Space Center, the Mikros design team seeks the most difficult cooling challenges to develop cutting edge solutions to common thermal performance limitations accommodating multiple heat zones, geometries, materials, TIM and pressure distribution needs. All Mikros cold plate designs are prototyped, tested and manufactured at our facilities in New Hampshire, USA.
Exhibitors
Expedera
Website: https://www.expedera.com/
Expedera provides scalable neural engine semiconductor IP that enables major improvements in performance, power, and latency while reducing cost and complexity in AI-inference applications. Third-party silicon-validated, Expedera’s solutions produce superior performance and are scalable to a wide range of applications from edge nodes and smartphones to automotive and data centers. Expedera’s Origin™ deep learning accelerator products are easily integrated, readily scalable, and can be customized to application requirements. The company is headquartered in Santa Clara, California.
Mouser Electronics
Website: https://www.mouser.co.uk/
Please visit our website for more information.OPENEDGES Technologies
Website: https://www.openedges.com/
Please visit our website for more information.Media & Association Partners
AI Magazine
Website: https://aimagazine.com/
AI connects your brand with the world’s leading executives in the fields of AI strategy, machine learning and digitally disruptive technologies – thought leaders and innovators driving this pioneering sector. They are the trusted authority at the cutting-edge of developments in artificial intelligence, machine learning and automation; guiding the business leaders, influencers and disruptors that are shaping the industry.
DevITJobs.us
Website: https://devitjobs.us/
DevITJobs.us - the first job board built with Software Engineers in mind.
They kindly offer free job posting for all of our partners and sponsors!
Use link: https://devitjobs.us/create-account to create the company account and find IT professionals that you look for.
Code for first free job offer: AIHARDWARE-DEVITUS
Edge IR
Website: http://www.edgeir.com
Edge Industry Review (EdgeIR.com) is a news, analysis and industry resource website documenting the changes taking place on the edge of the internet infrastructure market – the present and the future of the Edge Computing ecosystem.
HPCwire
Website: https://www.hpcwire.com/
HPCwire is the #1 news and information resource covering the fastest computers in the world and the people who run them. With a legacy dating back to 1987, HPC has enjoyed more than three decades of world-class editorial and topnotch journalism, making it the portal of choice selected by science, technology and business professionals interested in HPC, AI and data-intensive computing. For topics ranging from late-breaking news and emerging technologies in HPC, to new trends, expert analysis, and exclusive features, HPCwire delivers it all and remains the HPC community’s most reliable and trusted resource. Visit www.hpcwire.com.
InsideHPC
Website: https://insidehpc.com/
Founded in 2006, insideHPC is globally recognized for its thorough and insightful coverage across the HPC community, providing a bridge linking readers among vendors, users and HPC strategists with a following that includes public and private companies of all sizes, government agencies, research centers, industry analysts and academic institutions. In short: the buyers and influencers of HPC, HPC-AI and associated emerging technologies.
THE News Analysis Site for HPC Insiders. We’re all about HPC, but like the emerging HPC ecosystem, insideHPC is evolving with a number of important updates and topic focus areas coming later in 2022. To better serve our growing readership and advertising base, insideHPC will deliver an updated format and featured spotlight coverage of the emerging markets of enterprise HPC, HPC-AI, exascale (and post-exascale) supercomputing, quantum computing, cloud HPC, edge computing and High Performance Data Analytics. Our mission is to cover every aspect of HPC.
Written and edited by seasoned HPC journalists, insideHPC represents the many voices of the global HPC community: where HPC is today and where it’s going.
IoT Global Network
Website: www.iotglobalnetwork.com
Discover the world of IoT.
IoT Global Network is the ultimate intelligence platform for the IoT industry.
IoT Global Network serves as an invaluable source of information for IoT decision makers in all areas of industry and public services, including consumer-related, energy, financial, industrial, healthcare, security and transportation, – and anyone else who would like to learn more about how the Internet of Things will shape tomorrow’s society.
Discover. Learn. Connect. Engage.
To join our community, register at: https://www.iotglobalnetwork.com/register For more information, contact: Cherisse Jameson: [email protected]
IoT Now
Website: https://www.iot-now.com/
With exclusive analyst reports and specialist journalists, IoT Now is the leading global brand covering the Internet of Things, machine-to-machine communications (M2M), embedded devices and connected consumer devices. Delivering webinars, quarterly magazines, white-papers, daily news and expert opinion pieces and podcasts, IoT Now focuses on the deployment of these technologies across the enterprise, automotive, logistics, healthcare, utilities, travel, security and smart city verticals.
To join our community, register at: www.iot-now.com For more information, contact: Cherisse Jameson: [email protected]
IoT Now - www.iot-now.com
Khronos Group
Website: https://www.khronos.org/
The Khronos Group is an open, non-profit, member-driven consortium of over 150 industry-leading companies creating advanced, royalty-free interoperability standards for 3D graphics, augmented and virtual reality, parallel programming, vision acceleration and machine learning. Khronos standards include Vulkan®, Vulkan® SC, OpenGL®, OpenGL® ES, OpenGL® SC, WebGL™, SPIR-V™, OpenCL™, SYCL™, OpenVX™, NNEF™, OpenXR™, 3D Commerce™, ANARI™, and glTF™. Khronos members are enabled to contribute to the development of Khronos specifications, are empowered to vote at various stages before public deployment and are able to accelerate the delivery of their cutting-edge accelerated platforms and applications through early access to specification drafts and conformance tests.
Technology Magazine
Website: https://technologymagazine.com/
Technology Magazine connects the world’s largest technology brands and their most senior executives with the latest trends, industry insight, and influential projects as the world embraces technology and digital transformation. Technology Magazine is an established, trusted, and leading voice on all things technology – engaging with a highly targeted audience of global executives. They provide the perfect platform for you to showcase your products and services, share your achievements, and enhance your reputation in the industry.
AI Hardware & Systems Marketing Solutions
Check out the 2023 Marketing Solutions brochure for the AI Hardware & Systems Portfolio. The brochure showcases unique opportunities to reach our network year-round. 
2022 Testimonials
About Kisaco Research
Kisaco Research produces, designs and hosts B2B industry conferences, exhibitions and communities – focused on a specialized selection of topic areas.
Meet industry peers that will help build a career-changing network for life.
Learn from the mistakes of your peers as much as their successes—ambitious industry stalwarts who are happy to share not just what has made them successful so far but also their plans for future proofing their companies.
Note down the inspired insight that will form the foundation for future strategies and roadmaps, both at our events and through our online communities.
Invest both in your company growth and your own personal development by signing up to one of our events and get started.